The Public Domain: Who Will ”Own” the Foreshore?

Listener: 1 May 2004.

Keywords: Environment & Resources; Maori;

Property rights – the rights to use, transform and transfer (sell) a resource – is a better term than “ownership” because there are so many aspects to them and different groups can share the rights. An effective market needs a clear and comprehensive definition of those property rights. The economic reforms of the 1980s clarified many. Sometimes the outcomes were paradoxical. The largest ever nationalisation in dollar terms was by Rogernomes, for the government first had to own State Insurance before it could privatise it. But property rights continue to trouble us.

Thus, it is with the foreshore and seabed. It was obvious that there is an ambiguity over its ownership, but we muddled along with misunderstandings and ad hoc decisions. Affected by an English heritage, we assumed that somehow the foreshore and seabed were in a public domain, which gave us all a practical right to use the beaches, albeit we were restricted from (permanently) transforming them (with bach or fish farm) without permission, and we were certainly not entitled to transfer them to anyone else.

No doubt, if pushed, the judges could have created legal rights from the common (ie, the judge-made) law. Last year’s Court of Appeal did not. Rather, it said that local Maori may have some (customary) rights, which the Maori Land Court could help identify. That does not address the entirety of the ownership – who has the various rights to use, transform and transfer. I have written on “Maori” rights already (Rightful Owners 23 August 2003), so, briefly, this is not England and we (the public or the Crown) have no time immemorial claim to property rights in the beaches.

Do Maori? They claim it through the rangatiratanga (second article) provisions of the Tiriti o Waitangi, although some have told me they are less enthusiastic if it meant they got their local foreshore, but were restricted from the beaches where other iwi had the rights. But, if we ignore Maori claims to their private property rights, then either the government has the right to nationalise any private property without compensation or, if it confines itself to expropriating only Maori, it is racist. I have been surprised at the silence of the political right on this central issue of the protection of private property rights.

Parliament could legislate the foreshore and seabed into a public domain, with the Crown as the trustee responsible for its management and regulation. Current customary users – Maori and everyone – would continue, but there would be restrictions on new uses and transfer would be prohibited. If at any future time any property rights were to be commercialised, the Maori would claim the proceeds from the commercialisation. That would discourage the Crown alienating the foreshore, since it would get no financial benefit. In my view, until the asset is commercialised, the ranga-tiratanga provisions cover only customary usage and kaitiaki (guardianship).

However, for legal and political reasons, the foreshore is not being placed into a pure public domain. Instead, it will be a Crown Asset, a concept made rigorous in the 80s as part of the systemisation of property rights. Unfortunately, it is associated with the notion that the Crown should be administered as a private household without concern for the wider public interest. The Rogernomes might say that running the Crown as a selfish household was in the best public interest, unable to see that sometimes the immediate interest of the Treasury was not in all our interests. Practically, this led to the major privatisations of the 80s and 90s, despite widespread public objection. Could making the beaches Crown Assets lead to their privatisation?

Parliament can do just about anything (with the possible exception of seriously debating a difficult problem), so we cannot be sure that it would never sell our beaches. Even so, such assets should not sit in the Crown Accounts as if they could be sold off. They are being held in trust for our use, and limited transformation, and certainly it is not our (Maori and Pakeha) intention that they can be alienated. There are other heritage and cultural assets in the Crown Accounts that are equally precious, and equally inalienable: our national parks, heritage buildings and archives, the collections in Te Papa and the Alexander Turnbull Library – even the Treaty documents.

What may come out of the foreshore and seabed changes is a different form of Crown ownership, in which the Crown is the trustee for the management of assets which are for our and future generations’ enjoyment. Let’s make sure that the assets in our public domain are inalienable, irrespective of whether they are in the Crown Accounts.

enhancing Income Generation Through Adult Education, a Comparative Study.

Edited by Richard G. Bagnall, (The Asia-South Pacific Bureau of Adult Education, 2003).

Review: NZ Journal of Adult Learning. 32/1 May 2004, p.78-79.

Keywords: Education;

One of the hardest questions that advanced education is facing is its role in vocational training.
As it gargantuan appetite for funds began absorbing an increasing proportion of national output, some educationalists seized upon the thesis that education contributes to economic growth so an the investment in it would pay for itself. This is so well accepted, that to say that the thesis is a hypothesis with little empirical underpinning would leave many educationalists puzzled (although one might add that this is true for most statement about economic growth – it is surprising how little we know about the causes of economic growth: most expressed certainties are hypotheses).  The most extremist version of this view is that public education is only about contributing to economic growth, a position which largely drove New Zealand’s tertiary education reforms of the early nineties, and from which the system is still recovering. But the view that commerce and growth is central to education is now so widespread that it is rarely challenged.

Sometimes the resulting conclusions are unacceptable. Consider adult literacy programs. We
might readily justify them by arguing that literate workers are more productive, but the
implication is that we should not then bother about the illiteracy of anyone who will never get a
job (say in post-retirement). Arguments that their literacy might add to economic capacity,
involve tortuous logic. And they are irrelevant. Being literate – having access to the world of
writing – is good in itself. Literacy programs may have the happy collateral consequence that
some of the beneficiaries also get better jobs, but the primary benefit is not there.

The danger of going down the commercial road is that public funding may be restricted to where
commercial benefits occur, or – as in the case of New Zealand’s current tertiary system – there
may be a bias towards commercial benefits at the cost of education. Thus it is with some
apprehension that one reads Enhancing Income Generation Through Adult Education, A
Comparative Study
, with its concern of enhancing income generation (especially Vocational
Education and Training — VET) via the nonformal adult education sector. (Richard Bagnall,
professor of in the School of Vocational, Technology and Arts Education at Griffith University)
and the editor of the book, defines it as ‘educational provision and engagements that are intended, designed , managed and evaluated particularly for adults and that are outside the mainstream of formal credit educational provision’. In Australia, he notes, it is called Adult and Community Education.)

The book is a cross-country study with chapters on Fiji (Joseph Veramu), India (Vandana
Chakrabarti), the Philippines (Rachel Aquino-Elogada) and Thailand (Wisaner Siltragool) as well
as Australia (Bagnall) based on a papers given at meetings in 1998 and 1999. The book well
illustrates the diversity of institutional arrangements which make up nonformal education in
different countries. What it does not do is contrast its role between societies in which there is
mass tertiary education and those where it (and perhaps secondary education) is still only
available to minorities. In the latter, VET is an understandable focus, but where there is mass
tertiary education – as in Australia and New Zealand – the role of ACE is presumably different.
Of course there are groups in Australasia who have poor access to the formal sector, but they are
relatively small, and it is not obvious that the nonformal sector should be dominated by their
needs.

Bagnall hardly makes this distinction, and writes as though VET has no impact on the other
activities of the nonformal sector in Australia. Implicitly he alludes to it. There is a concern at the
‘general failure of [the Australian] VET reforms to give adequate (or often any) recognition to
indigenous knowledge systems.’ Well yes, but if the knowledge was vocationally relevant it
would become a part of the commercial knowledge system. He talks about the ‘tendency to over-
promote the potential of either VET of nonformal education to be an effective instrument of
cultural change.’ One would not expect that of a VET driven nonformal system, if it’s primary
purpose is vocational training. Since when did business consciously want to promote cultural
change (especially in the direction which most in the nonformal system desire)?

The book then provides useful summaries of the non-formal educational system in some of the
poorer countries of the wider region, but it fails to reflect sufficiently on the significance of the
impact of vocational training objectives in the richer ones. It shows it has a role, but questions
about the total role, and the extent to which a well funded sub-role distorts that totality are hardly
addressed.

Accidents Will Happen

The ACC reforms for treatment injury should replace a culture of blame with a culture of safety.

Listener: 17 April, 2004.

Keywords: Social Policy;

A friend recovering from a serious operation was on two occasions offered medicine that was not prescribed and, once, a scan that was unnecessary. Suppose she had been unconscious, or lacked the character to know what was going on and say “no”. Whether the mistakes could have led to medical injury, I cannot tell. But they would have consumed scarce resources.

This is not to point the finger at the health professionals involved. I find more helpful a diagram in a prize-winning book by Dr Peter Roberts, Snakes and Ladders: The pursuit of a safety culture in New Zealand public hospitals. It shows a stack of punch cards representing the chain of decisions. It is only when there is an alignment of the holes of failure that a “medical incident” occurs. To focus solely on the hole in the last card is to ignore the earlier ones. A safety culture looks at all the holes.

This was part of the reason that the 1966 Woodhouse Commission rejected fault in its accident compensation proposals. Blame is too complicated and erratic. Instead, the ACC system was based on the principles of the priority of prevention with (prompt) rehabilitation and (fair) compensation, where an accident occurred.

Oddly, however, the fault principle still applies in the case of medical misadventure, because the injured may be entitled to compensation if it can be proven there was a medical error. (The other major ground is that if there is a medical mishap with a rare and severe outcome.) The fossil is instructive because it demonstrates that the Woodhouse Commission was right: where there is a fault principle, rehabilitation is delayed and compensation is erratic.

Following a review, the ACC Minister has announced that she will be introducing legislation to put medical misadventure (in future to be known as “treatment injury”) on a new footing. It is intended that “treatment injury” will cover injuries whether they are serious or not, but exclude “injuries that are a necessary part of treatment, such as a surgical incision, and those that result from a patient’s underlying condition. Nor will there be cover just because the desired results were not achieved or the treatment was not 100 per cent successful.”

The scheme is expected to add another $8.7m to the current cost of $47m a year for medical misadventure, while accelerating and simplifying the decision process. I hope so, especially if it speeds up rehabilitation, which must be a greater priority than compensation.

Will the scheme go far enough? Woodhouse emphasised the importance of prevention. Undoubtedly, medical error has discouraged prevention, because the first reaction of a health professional faced with a charge of incompetence is to obfuscate (don’t we all?). Eliminating a culture of blame will discourage such reactions. (Patients can still complain to the Health and Disability Commissioner or the relevant professional body, as can ACC where it considers there is “a risk of harm to the public”.)

But the lesson from the medical incidents with which this column began, is that not all result in treatment injury, so they don’t all reach ACC. Yet they still reflect a safety failure that could happen again unless the system – all the cards – is addressed. Next time the failure could end up at ACC. So, as Peter Roberts argues, we need to build a safety culture into our medical system.

There can be no universal prescription. An intensive care unit will have a different system of incident review from a podiatrist. However, there are a number of agencies with safety responsibilities: the Ministry of Health, the Health and Disability Commissioner, the professional associations and their disciplinary boards, and the treatment institution, as well as ACC. The danger is that no one will take responsibility, and the opportunity for greater prevention will be lost.

So we may applaud the proposed reforms, and celebrate that some patients who would have a rough deal on past criteria will be better off. But the health professionals are also better off for not having a culture of blame hanging over them. In return, they should make a real commitment to instigate a culture of safety in their practice, addressing medical incidents, and not just accidents. The biggest gains from the reform could be for the patients who never get to ACC, because better prevention means they do not suffer treatment injury.

Currency Appreciation

Trying to make sense of a rising exchange rate.
Listener: 3 April, 2004.

Keywords: Macroeconomics and Money.

The conventional wisdom, like generals, fights the last war. Its complaints about the high exchange rate are from the perspective of the late 1980s. You may recall a few intrepid souls then arguing that the hike in the real exchange rate undermined the profitability of the tradeable sector, which generates foreign exchange by exporting or conserves it by import substitution. The weakened sector would slow overall economic growth, as happened. Meanwhile, the generals, fighting the earlier Muldoon war, ignored the exchange rate, completely failing to predict the poor economic performance.

This time the conventional wisdom is concerned about the high exchange rate, pointing out – correctly – that the exportable sector is suffering (there is hardly any importable sector left). Compared to two decades ago, this is an advance in understanding, but again they are fighting the last war.

They are using the wrong map. They focus on the New Zealand to US dollar exchange rate, which had risen from December 2001 (when things were last settled) to early March by over 60 percent. But not all New Zealand trade is in US dollars. The yen rate appreciated by only around 40 percent, sterling by less than 30 percent, the euro by under 20 percent and the Australian dollar by around 10 percent. The conventional wisdom should be using the “trade weighted index” that reflects the economy’s trading patterns. (They will in the next war.) The TWI has risen by about half the rate of the US dollar. (The TWI based only on exports has risen even less, because we export relatively more to non-dollar economies and import more from dollar-based economies.)

The conventional wisdom is also fighting the wrong enemy. Today’s currency appreciation is for different reasons. In the 1980s the hike was caused by our domestic policies, as both monetary and fiscal policy pushed up the exchange rate. The bulk of today’s appreciation is coming from events outside New Zealand’s control. The substantial US Government deficit (in 2001 it was a surplus) requires it to borrow overseas. The sucking of foreign savings into the US monetary system has depressed the US dollar, so all currencies are rising. (This is the opposite reaction to most economies, because the US dollar is the currency of international preference – the New Zealand dollar is not.)

There is not a lot New Zealand can do when the world’s largest economy misbehaves. During the 1980s when the local dollar appreciation was our fault, the conventional wisdom said there was nothing that could be done. It was the market determining the exchange rate, they said. This time the appreciation is occurring primarily by forces outside our control and the conventional wisdom is demanding the government do something. Ironic, isn’t it? Do they want our Finance Minister to tell President Bush to get as disciplined a fiscal position as we have in New Zealand?

The Reserve Bank has been more thoughtful. In a January 2003 speech, the Governor of the Reserve Bank indicated a willingness to grapple intelligently with exchange rate management. The speech was in a context of an exchange rate close to its 10-year average measured in TWI terms. By early March 2004 it was about 16 percent above. An exporter used to getting seven dollars is getting only six today. It is no surprise that the tradeable sector, its profitability undercut, has been slowing down. So is the economy.

Last month, the Reserve Bank announced that it may intervene in the foreign exchange market by purchasing foreign currency “when the New Zealand dollar is exceptionally and unjustifiably high”, selling in the opposite circumstance. The details of the intervention have to be worked out (when is “high” too high?), but already the foreign exchange market has responded, and the New Zealand dollar has fallen.

The new weapon is hardly revolutionary – the Australian Reserve Bank has had it since it floated its dollar in 1983. In that time its per capita GDP has grown one percent a year faster than New Zealand’s – faster than the OECD average. They are securely in the top half of the OECD, while we drifted from the middle to almost 20 percent below.

When asked, the Rogernomics generals supported cavalry over tanks. They said that the new arrangements would not work because the government would lose money. Of course, it may: the Reserve Bank will be buying at the top of the market and selling at the bottom. But those losses can be offset by the gains from a stronger tradeable sector, stronger economic growth, more jobs and the additional tax revenue that will all generate. We don’t observe the Australian economy being brought to its knees by two decades of their Reserve Bank intervention, which is more than we can say for the generals’ policies.

Savings and Loan, Loan, Loan (review)

SAVING THE SUN: Shinsei and the battle for Japan’s future by Gillian Tett
Listener: 27 March, 2004.

Keywords: Business & Finance;

One day in 1999, banker Takashi Uehara checked into a suburban hotel in 1999 and then hanged himself. His suicide note read, “I am so sorry.” It was a traditional hara-kiri, except that ritual disembowelment –– slashing one’s stomach open with four precise strokes of the sword –– was considered too selfish and messy, whereas the anonymous event in the hotel spared his family the shock. To this mixture of Japanese and Western values was added those of the finance sector, for the shame Uehara wished to expunge was that his bank was going bankrupt.

Not that the suicide saved Long Term Capital Bank (LTCB), for the problems it faced were endemic in the Japanese economy and, perhaps, the Japanese psyche, the issue explored in the eminently readable Saving the Sun, by financial journalist Gillian Tett.

By the late 1980s the Japanese economy, having caught up with the West, began stagnating, as businesses located to the cheaper Asian tigers to the south. Ironically, the economy that achieved so much by adopting and organising Western technology could not adapt to the new economic circumstances. The expansion had been financed by supportive banks with long-term commitments to their customers, financed on the value of the assets rather than the cash flow it would generate in the immediate future.

As long as the economy rapidly expanded, the financing strategy worked. As manufacturing opportunities ran out in the late 1980s, the banks turned to real estate. So when LTCB was approached by a Japanese property company, EIE International, to finance building the Four Seasons luxury hotel in Central Manhattan, they went ahead. The cashflow analysis suggested the maximum viable investment on the site was $US150m (an analysis which was to prove correct when, later, the built hotel was sold for that price). The planned cost turned into $US600m after overruns. LTCB ended up with a huge debt that had no cash flow to service it.

That debt should have been put in the books as a “non-performing loan”. All financial institution banks have some –– advancing money is a risky business. A well-organised bank has a good record of those bad debts. LTCB, and apparently most Japanese banks, had barely any idea, despite their reckless lending making them awash with loans that could not be paid off.

When EIE International fell over (the Australian newspaper head-line was “EIEI O”), LTCB was also bankrupted, then nationalised, and subsequently sold to an American consortium, to be reborn as Shinsei (“new life”). And yet the new bank faced the same difficulties as the old one. The Japanese were reluctant to deal with the non-performing loans, for it represented a breakdown of the commercial-personal relationships on which their past success had been founded –– a loss of face.

However, someone has to bear the losses, currently thought to be between $US200b and $US700b across all Japanese banks –– equivalent of four to 12 years of New Zealand GDP. Shareholders are the first losers, but those with deposits in the institution may find their savings devalued. (This happened with some New Zealand institutions –– such as the DFC –– in the 1980s, although hardly on the same scale.) Depositors want the bad debts taken over by the government, but that only shifts the burden onto the taxpayer. Dithering leads to a pass-the-parcel (bomb), dragging the financial system, and the economy, down, for the ambiguity means no one knows whether any financial institution is solvent. Who wants to deposit in or borrow from ambiguously bankrupt banks?

As no Japanese institution wanted to take over a bankrupt bank, Americans bought LTCB, leaving many of the non-performing loans with the government as a part of the purchase deal. The culture clash between American and Japanese approaches was extreme. (Further complicated by the new owners hiring vegetarian Indian computer experts, who ignored traditional relationships with Fujitsu and bought American computers.) Tett writes, “Wall Street was founded on the presumption that if there was a showdown between a legal transaction and a [business] relationship, it was the transaction and not the relationship that will be honoured.”

I leave her to tell the rest of the enthralling story. For although it is a business yarn, albeit one entwined by some grubby US and Japanese politics, it is also a story about the twain of East and West meeting –– and not meeting. The reader is likely to be left deeply perplexed about the merits of their respective approaches. It is easy to value relationships above those of financial contracts, but the book nicely illustrates how the former creates ambiguities, puts off hard decisions, and leaves a greater mess to future generations.

Some Comments About the Theory and New Zealand Economic Growth

Formal contribution to the MED Panel on economic growth: 24 March, 2004.

Keywords: Growth & Innovation; History of Ideas, Methodology & Philosophy;

In the last three weeks we have had three interesting introductions to elements of growth theory. I do not see them as independent paradigms contesting with one another, but rather they are different facets of a more comprehensive growth theory. One thing which came through clearly, is that Solow’s neo-classical model of growth, now 45 odd years old, was both a powerful stimulus to growth theory, but very deficient. Much of the work of the last five decades has been trying to overcome those weaknesses. Many remain unresolved, and the empirical underpinnings of growth theory are still tenuous. Yet we tend to lapse back into a pure Solow model with its high degree of aggregation and vague notions of technology.

The vagueness of ‘technology’ is a particular problem. We think it a ‘good thing’ but without precision as to what we are talking about. I have always liked Joan Robinson’s notion that technology is the blueprints of how to do things. Others in this series have used a similar approach. (Theories of Economic Growth makes the notion of technology as blueprints more concrete.)

However, there is a great caution about the papers in the last three weeks, especially their relevance to growth policy in New Zealand. They all belong to a central concern of economists: how economic growth occurs in the world as a whole. They tell us little about how economic growth occurs in a country or a region, unless it is so large it can be treated as almost the entire wold. The one country for which that is about true is the US in the twentieth century, so if we uncritically apply these theories to New Zealand we are treating our economy as if it was the US.

That leads to the defeatism which I often see, for instance, in Treasury papers about growth. Defeatists say, implicitly for they are not very alert to what they are doing, the only way to grow is to be like the US: but New Zealand is too far and too distant to do that, so there is not much hope for us. A frequent policy prescription is that we should join up with Australia, with the implicit agenda that the Australasian defeatists think that the Trans-Tasman economy is too small, so it should join up – one way or another – with the US.

Economies and regions grows differently from the world models we have been looking at. To give one example. Adopting prescriptions which derive from world models, ignores that New Zealand is a very small proportion of the totality of the world’s research science and technology activity. Thus we ignore – as in the last versions of FoRST plans – the role of technological transfer in our RST strategy, even though we import international technologies all the time. Ironically, the omission arises because we unconsciously import the international technology of economic growth theory, without consciously adapting it for local conditions.

What might an economic growth theory consciously adapted for New Zealand look like? I have been working on this project for over three decades: hence my awareness of how uncritical most New Zealand growth theory is. (For a country which prides itself on its creativity and innovation, most of our economics is boringly imitative.) Let me sketch the central feature which applies to a small economy like New Zealand, as well as to regions.

I dont think in the last three weeks anyone has mentioned international (or inter-regional) trade. That is not the focus for a theory about the whole world. But it is crucial for New Zealand’s prospects. I cant go into any detail today, so let me make just two points.

First, international trade (and its regional equivalent) is a means by which a small economy can largely overcome any handicap of its size (while enhancing the advantages from being small).

Second, because of the falling cost of distance, international trade is becoming increasingly important, but also different creating opportunities for the more isolated that did not exist in the past.

You will find both ideas elaborated in, and central to, my writings. You wont find them enough in other New Zealand economists writings, which confuse the world as a whole (or the US) with New Zealand. As long as that occurs, defeatist policies will reign, and we will have a growth strategy which fails to realise all the opportunities that the world holds for New Zealand.

Culture Matters

Don Brash says, “I can’t think of anything in health which is specifically Maori.” So why treat Maori differently?

Listener: 20 March, 2004.

Keywords: Health; Maori;

Sadly, the proportion of Maori who smoke, and as a consequence suffer the diseases from smoking and die early, is higher than that of Pakeha. Moreover, although there has been some success from the campaign to reduce smoking, it seems to have had little impact on Maori rates. So it makes sense to have a specifically Maori anti-smoking campaign, administered by Maori. One of its successes has been that most marae now ban smoking. No Pakeha-dominated organisation could have achieved such an outcome.

Culture matters in public health, so it makes sense to deliver it via culturally sensitive agencies. As much as their grandparents may be dismayed, we will only successfully tackle teenage smoking when the campaign engages with the young on their terms. Similarly, public health campaigns concerned with alcohol misuse and obesity, which impact differentially on Maori, require an engagement with their cultural dimension, too. Majoritarian public health programmes miss the minorities.

This is not to say any Maori provider will do. Some are probably ineffective, but so are some non-Maori ones. When the government funds a provider, it owes it to the taxpayer and the client population to make sure the money is well spent. But that is a case for carefully choosing Maori (and non-Maori) providers, not for eliminating them.

Sometimes public policy uses “Maori” as a substitute for a cluster of variables, or because it is the most effective targeting variable available. The impressive “Decades of Disparity” research programme, led by Dr Tony Blakely of the Wellington School of Medicine, has shown that not only do Maori have a shorter average life expectancy than non-Maori, but the age level has also stagnated while the rest of us have had increases. The higher Maori morbidity cannot (yet) be explained by known differences, such as age, gender, location and socioeconomic status.

The Ministry of Health therefore gives Primary Healthcare Organisations (in which GPs and other health professionals serve) a financial premium in proportion to the number of registered Maori (and Pacific Islanders). The ministry also varies its payments by the practice’s composition of age, gender, socioeconomic status and High User Health Cards, trying to better target the available funds on the basis of health need. If they did not, PHOs with more of the needy would have heavier workloads for the same amount of public funding. But in each case the categories are only an indicator for underlying health factors that cannot (yet) be identified (or be effectively targeted).

Were there better indicators, the ministry would use them. Its use of Maori is not conferring racial privilege but a pragmatic response to measured differentials in morbidity and mortality. (It insists that PHOs may not charge their patients differently by race.)

Sometimes we treat people differently by social characteristics. Years ago, when low proportions of women were recruited to medical schools, it was argued that a medical profession dominated by males would not be fully sensitive to the needs of half the population, no matter how hard it tried. (Alas, subsequent events – say, over cervical smears – suggested that not all tried hard enough.) Since there were far more students who met the minimum academic standard for a degree in medicine than could be taken on, it made sense to select future doctors to better reflect the overall population, rather than just by highest academic achievement. The gender imbalance has been corrected, but the same principle applies for other groups, such as Maori. (Although I have the greatest compassion for the individuals, I celebrate meeting doctors who are blind or have multiple sclerosis or some other handicap, because I know they enrich their profession’s understandings of their conditions.)

Should one of two people in identical medical situations get preferential access to treatment? Suppose one is richer than the other. Should the rich be treated because they can purchase therapies that the poor cannot? I have agonised over this for decades. My current view is that privately purchased medicine is in the public interest if the rich pay all the costs themselves (so there is no government subsidy) and they don’t crowd out the treatment of others (but entice more resources into the system).

So, how to deal with the following situation? Two patients require an expensive but necessary treatment. But there are only sufficient resources for one of them. Their medical needs are identical, as are the various social characteristics (such as age) and family circumstances. One is Maori and the other is Pakeha. Who should we treat?

The Maori, because of being tangata whenua? Wrong.

The Pakeha, because they are from the dominant culture? Wrong.

Flip a coin? Wrong.

The correct response is for the government to provide more resources, even if that means higher taxes.

When GDP and GDE Are Not Equal

Keywords: Statistics;

Introduction

It is an elementary truism of economics that Gross Domestic Product can be measured on the production side (that is in terms of the products of firms) and the expenditure side (that is in terms of the final purchases of the products) and the two aggregates are exactly equal to one another (although in practice there will be a measurement error, called the ‘statistical discrepancy’).

This equality arises from the properties of the relationships between the products and the prices on the two sides. However for a number of reasons, economists apply different prices to those in which the actual transactions take place. One situation is for volume (or real or constant price) GDP where the effect of the changing price level is allowed for by using the same set of prices for GDP in each year. Another is PPP-adjusted GDP which is used for comparisons to be made between different countries by applying common prices to the production.

It has long been known that, in a particular situation, the application of different prices from the actual transaction ones, results in estimates of the two GDP sides which are not exactly equal. That situation is where there is a change in the terms of trade. The SNA recognises this by identifying two volume measures:

Constant price GDP measured on the production side is called RGDP or Real Gross Domestic Product;
and
Constant price GDP measured on the expenditure side is called RGDI, or Real Gross Domestic Income.

Neither measure is to be preferred over the other. Rather they have different purposes. RGDP indicates what is occurring on the production side of the economy, while RGDI is a measure of the resulting spending power. A lift, say, in the terms of trade, means that the domestic spending power increases more than production, because the (exported) products are able to purchase more imports and hence give the purchasers more purchasing.

Less well known, or rather implicitly well-known but rarely of much interest, is that there is index number problems in constant price GDP series, as the relative balance of the products which are the base weights of the GDP index change so that all the usual problems of index construction apply. This is not a major problem in the short run, because the changes are not generally great. But in the long run – as illustrated by the arrival of new products – the issue is complicated.

This paper provides a rigorous formulation of this phenomenon. It does so be carefully separating out the production side and its prices and products from the expenditure side and its prices and products. Thus butter in a shop appears on the expenditure side as a single item, but on the production side it appears as the result of the activities of a chain of firms: the farm produces the milk, the dairy factory turns it into butter, the transport system distributes it and the shop adds a retail margin for its costs. This chain (for every expenditure item) is characterised by a matrix Γ and the analysis shows that a divergence between RGDP and RGDI arises when a new set of prices arise where, as is likely, a different Γ matrix applies.

This exercise is done initially for a closed economy and then generalised to an open one, where the terms of trade effect becomes evident as a part of the Γ effect.

Conceptually, PPP-adjustment has broadly the same mathematical structure, that is it is the application of another set of prices to the two sides of GDP, although in this case the prices come from the same time but a different country, rather than a different time and the same country.

However, further terms arises, reflecting the distinction between product prices of international tradeables which are assumed to be the same in all economies (other than the scaling effect of the exchange rate). The analysis incorporates a Λ matrix which converts the price of the goods at the border to the domestic product price, the difference reflecting such things as protection (such as tariffs) on imports and subsidies (and other assistance) on exports.

In both cases the mathematics shows that RGDP is no longer equal to RGDI except in very special circumstances typically involving particular conditions on the Γ and, where applicable, the Λ matrices.

As already mentioned, the implication for constant price GDP series through time is reasonably well known: that if RGDP is to be derived from RGDI, there has to be an allowance for the impact of terms of trade. Less well known is that there is a parallel effect for PPP-adjusted GDP. In practice the internationally accepted estimates of PPP-adjusted GDP are derived from the expenditure side, and correspond with RGDI. They do not, therefore, reflect the production side of the economy, even though that is often the way they are presented.

Although not developed in this paper, the adjustment to get from PPP-adjusted RGDI to PPP-adjusted RGDP is relatively straight forward, although more data onerous than the terms of trade adjustment for time comparisons. It is conjectured the adjustment is likely to be significant for economies with a substantial proportion of their exports are subject to high degrees of intervention – such as agricultural products.

What to do about the Γ effect is more demanding. It probably involves estimating it to some degree, or deriving the RGDP estimates directly by the application of production side prices, although this is likely to be very data onerous. It is also possible that the Γ and Λ effect may explain some of the inconsistencies of projections of PPP-adjusted GDP through time.

The rest of this paper is not mathematically undemanding. Corrections and presentational improvements would be appreciated.

The Formal Model for a Closed Economy

In an economy, firms produce products (which are measured in the production side of the economy) the quantities of which in a period are represented by a (1 x n) column vector P where n is the number of products.

These products get transformed into expenditure items (which are measured on the expenditure side of the economy) the quantities of which in a period are represented by (1 x m) column vector E where m is the number of expenditure items (and n ≠ m, generally).

The relation between P and E is given by

(1) P = Γ.E,

where Γ is an (m x n) matrix.

The prices of the goods and services are given by a (1 x n) column vector pp, and the prices of the expenditure items are given by a (1 x m) column vector pe. It follows from 1 (and various routine economic assumptions) that

(2) pe’ = pp’.Γ

Nominal GDP and GNE is given

(3) GDP = pp’.P
And
(4) GDE = pe’.E

Substitution from (1), (2), (3), (4) gives

(5) GDE = pe’.E =( pp’.Γ).E = pp’.(Γ.E) = pp’.P = GDP

so GDE = GDP

Now suppose another set of prices are applied. The prices might be from another year of the closed economy (as a part of constructing a constant price series, or from another country as a part of constructing a PPP adjusted measure). We call these new prices pp* and pe*, and the equivalent of equation 2 is

(6=2*) pe*’ = pp*’.Γ*

Now

(7=5*) GDE* = pe*’.E =( pp*’.Γ*).E = pp*’.(Γ.E) + pp*’.(Γ* – Γ).E
= GDP + pp*’.(Γ* – Γ).E

So generally, GDE* = GDP* only if (Γ* – Γ) = 0.

It is standard to assume for practical purposes that

(8) (Γ* – Γ) approximately equals 0,

for constant price comparisons through recent time, so in such cases GDE* approximately equals GDP* in a closed economy.

In the case of PPP comparisons, the assumption in equation (8) appears to be less true, perhaps considerably less true.

The Formal Model for an Open Economy (through time)

Suppose the economy has the same variables as in the closed economy, plus the additional opportunity of importing and exporting products. The quantities internationally traded are represented by a (1 x n) column vector T. Elements in the vector may be positive (in which case the product is imported), zero (in which case it is a not traded), or negative (in which case the product is exported).

In the following we shall assume that

(9) pp’.T = 0,

that is there current external account is in balance, and so GDE stills equals GDP.

The relation between P and E is given by

(10) P + T = Γ.E,

it being unnecessary to identify, for these purposes, what determines T.

Substitution using equations (1), (2), (3), (4), (9) and (10) gives

(11) GDE = pe’.E = ( pp’.Γ).E = pp’.(Γ.E) = pp’.(P + T) = GDP + pp’.T = GDP.

so GDE = GDP

Now suppose another set of prices, pe*, are applied as previously. In which case, using (2) and (10):

(12) GDE* = pe*’.E =( pp*’.Γ*).E = pp*’.(Γ.E) + pp*’.(Γ* – Γ).E
= GDP* + pp*’.T + pp*’.(Γ* – Γ).E.

So even if Γ* = Γ, then generally, GDE* = GDP* only if pp*’.T = 0,

That pp’.T = 0 provides no guarantee that pp*’.T = 0. In practice pp*’.T may differ greatly from zero for a country which experiences significant terms of trade changes. As a result the constant price GDP series can show a different pattern depending on whether it is measured on the product or the expenditure side. As a result the SNA has adopted a convention that

Constant price GDP measured on the production side is called RGDP;
while
Constant price GDP measured on the expenditure side is called RGDI.

The Formal Model for a Open Economy (economy (PPP) comparisons)

For open economy comparisons of open economies, we need to represent prices of tradeable products at the border. The (1 x n) price vector is pb.

Equation (9) is now replaced by

(13) pb’.T = 0,

Additionally there are international prices, represented by pi, where

(14) pb = e.pi, and e is the exchange rate.

(The prices of non-tradeable products in pb present a problem since there is no international price. The following analysis could be done with partitioned vectors and matrices. Or the elements representing those prices could be set at infinity, reflecting the price at which the non-tradeables could be tradeable. However we shall put them as the local non-tradeable price which avoids both inelegant partitioning or calculations of the form (0 x ∞). We can do this, because the place where it matters is in the expression pb’.T, where the price element for a non tradeable product multiplies with a zero, since there is no trade in it.)

Border prices do not always equal domestic prices. The simplest case is when there is a tariff (on an export) or subsidy (on an import), although the generalisation to a tariff/subsidy equivalent is not difficult. We characterise the relationship between pb and pp as follows:

(15) pp = Λ.pb,
and also
pp’ = pb’.Λ (since Λ is symmetrical).

where Λ is a n-square diagonal matrix (all off-diagonal elements are zero) in which the elements on the diagonal
= 1+t if the product is an import (where t is the tariff rate)
= 1+s if the product is an export (where s is the export subsidy)
= 1 if the product is a non-tradeable.

As demonstrated in equation (11), GDE = GDP in the prices of the day, it follows from (15) and (5) that

(16) GDP = pb’.Λ.P = GDE.

Applying a set of prices from another country, as before, the result is as for (12) but applying (15):

(17) GDE* = GDP* + pp*’.T + pp*’.(Γ* – Γ).E.
= GDP* + pb*’.Λ*.T + pp*’.(Γ* – Γ).E.
= GDP* – pb*’.(Λ*-I).T + pp*’.(Γ* – Γ).E,

noting that from (14)
pb* = e*.pi = (e*/e).pb,
so that
pb*’.T = (e*/e).pb’.T = 0.

So even were Γ* – Γ = 0, GDE* would not equal GDP*, unless Λ*=I, that is there were no tariffs or export subsidies in the economy whose expenditure prices are being used.

The parallel with the constant price distinction between GDE and GDP should not go unnoticed. It suggests that

PPP-adjusted GDP measured on the production side is analogous to GDP, and should be called “PPP-adjusted RGDP”;
while
PPP-adjusted GDP measured on the expenditure side is analogous to GDI, and should be called “PPP-adjusted RGDI”;

It is to be noted that the standard (from OECD) estimates of PPP-adjusted GDP are measured on the expenditure side and so are more analogous to Gross Domestic Income (RGDI). They would need to be adjusted for the border interventions, characterised by (Λ*-I), to be better measures of GDP, that is the value of production in some international PPP prices, although that Γ* ≠ Γ presents a more unresolvable complication.

Conclusion

While, as equation (5) reports, GDP valued on the production side is exactly equal to GDP valued on the expenditure side (although there may be a statistical discrepancy when practically measured) this conceptual equivalence does not apply in other instances.

Constant Price GDP Estimates Through Time

As equation (7) reports, the constant price GDP estimates on the production and expenditure sides diverge through time in a closed economy. The reason for this is that the relationship between the production side prices and the expenditure side prices (characterised by the Γ matrix in the equation) changes over time. However the practical discrepancy may be small in the short run.

As equation (12) reports, the constant price GDP estimates on the production and expenditure sides diverge through time in an open economy. This is additional to the Γ matrix effect in a closed economy. The new effect arises because of the impact of the terms of trade on the traded product sector. This second effect is not small for a country which experiences large swings in its terms of trade, and is recognised in the SNA by describing the constant price estimates on the production side as RGDP and on the expenditure side as RGDI.

PPP-adjusted GDP Estimates

As equation (7) also reports, the PPP-adjusted GDP estimates on the production and expenditure sides diverge in a closed economy. The reason is broadly the same as for the constant time estimates: the relationship between the production side prices and the expenditure side prices (characterised by the Γ matrix in the equation) differs between economies. This time, however, it seems likely that the practical discrepancy may be large.

As equation (17) reports, the PPP-adjusted GDP estimates on the production and expenditure sides diverge in an open economy. This is additional to the Γ matrix effect in a closed economy. The new effect arises because of the impact of price wedges between international; and domestic prices arising from import protection and export subsidisation. The effect may be small where the wedges are small or impact on only small traded product sectors. But it is not small for a country which experiences substantial protection against its major exports, such as a significant agricultural exporter such as New Zealand.

In conclusion, neither the constant price estimates of GDP nor the PPP-adjusted estimates of GDP on the expenditure side (GDE) are likely to provide robust estimates of GDP measured on the production side.

I am grateful to Jeff Cope for suggesting a key insight

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Measuring PPP-adjusted GDP (index)

MEASURING PPP-ADJUSTED GDP (INDEX)
This is the index of a series of papers concerned with PPP measures. The papers are in varying presentational styles and also reflects my growing understanding of the issues involved, and my improving presentation of them.

Keywords: Statistics;

The Impact of International Price Discrepancies on PPP-adjusted GDP (September 2003) Simple mathematical exposition.

Measuring PPP-adjusted GDP: An Anomaly (December 2003) Exposition based on tabulations.

When GDP and GDE are Not Equal (March 2004) Mathematical Exposition.

Your Friends and Neighbours

Who really benefits from the US/Australian Free Trade Agreement?
Listener: 6 March, 2004.

Keywords: Globalisation & Trade;

Free (or preferential) Trade Agreements (FTAs) may not always benefit the economies involved. Certainly, there will be sector beneficiaries, and their acolytes will loudly proclaim the benefits, but within an economy there will also be losers. Do the sector benefits outweigh others’ detriments? The economist’s answer is “not necessarily”.

Beneficiaries often mention substantial aggregate gains from an FTA. Their claims are based on economic models, which involve assumptions, such as perfect competition in all markets and no economies of scale in any industry, with resources released from contracting industries and regions switching smoothly and quickly into expanding ones. Under these assumptions, the models show that there will be some (typically minor) gains from the complete elimination of border protection. But the models do not always show that free trade agreements (where there is a reduction in border protection only to some countries) are also beneficial, even assuming that protection between the partners is eliminated.

The problem is trade “diversion”, where trading partners start sourcing from each other, and not from a third country that offers the product at a lower price, but is excluded by the remaining tariffs. Thus, a recent IMF working paper, “The United States and the New Regionalism/Bilateralism”, found under some assumptions that Australia could be worse off under a free trade agreement with the US, even though the US would be better off. Apparently, the trade diversion outweighed the trade creation. Of course, the actual package will be different from the one that the model assumed, but one revealing tabulation showed Australia does even worse if agriculture is excluded from the agreement (as has largely happened), while the US is even better off.

The model also assesses the impact on other countries. Summing up all the gains and losses, it concludes that the world will be worse off from a deal, the gains to the US failing to outweigh the losses to all the other countries.

Such models –– there are others that are more optimistic, although they all show the countries not involved in the FTA suffering –– are based on predicted outcomes. “The Trade and Investment Effects of Preferential Trading Arrangements –– Old and New Evidence”, a paper from the Australian Productivity Commission, provides a retrospective evaluation based on actual outcomes. The Australian Government’s APC is as staidly pro-market as the IMF, although these are only the authors’ views (one was New Zealander Philippa Dee).

Nevertheless, they conclude that 12 of the 18 recent free trade arrangements “diverted more trade from non-members than they created among members …… Some of the more prominent [arrangements] have not even succeeded in creating more trade among members.” The report is acerbic about the prospective models, commenting that they “sometimes made assumptions that have skewed the findings in favour of economically beneficial outcomes”.

It concludes, however, that “the finding on investment is more positive than for trade, but not without qualification”. Arguably, the Australian strategy has been to position their economy more closely to the US, to encourage investment, even at a possible cost of some serious sector losses in the short term.

Although Australia may or may not benefit from AUSFTA, the New Zealand economy will suffer to some extent, both because it will lose export markets to US and Australian suppliers and because US investment is likely to be more attracted to Australia. However, that does not mean we should rush into a deal with the Americans, since it is possible we could be worse off. (The IMF study did not look at a prospective NZUSFTA.)

If we go into a serious negotiation –– it is unlikely to be before next year because of the presidential election –– New Zealand does not want to end up in the Australian situation of having to do a deal, despite it being unclear whether there was a national benefit (although in the interests of some sectors), because uncritical cheerleaders claim the deal is absolutely vital (they don’t add “for them”) and eliminate the government’s room for political manoeuvre.

The ideal would be a multilateral agreement –– the sort of thing being discussed in the Doha Round under the World Trade Organisation –– although, as the APC points out, bilateral deals that disadvantage third parties make multilateral deals less attractive to the insiders. Even more gloomily, the US gave so little away on the agricultural front –– nothing on sugar, small increases in initial quota access on beef and dairy, and elimination of low tariffs (the Australians promptly increased support for their sugar industry). This suggests that the rhetoric of major agricultural concessions in the Doha Round may be overridden by domestic interests.

The protectionist agricultural lobbies in the US and the European Union must be laughing at the feeble AUSFTA, even if we are crying.

What Was a Pound Worth?

The Reserve Bank of New Zealand Inflation Calculator and earlier

Keywords: Statistics;

As a part of its statutory responsibility for price stability, the Reserve Bank of New Zealand has provided a web based ‘Inflation Calculator’. Historians will find it useful to convert an earlier price into a current one, thus giving readers a better sense of the significance of a historical value.

The site is well documented, and there is no difficulty using the simple procedures. Entering 200 in the top left box, setting the right boxes to 1919 in quarter 1, and setting the next line of right boxes to 2003 in quarter 3, will show that £200.00 in early 1919 would purchase the same as $15,255.88 in 2003.

The following remarks are designed to elaborates some points of particular importance to historians.

A Consumer Price Index is based on the valuation of a standard ‘basket’ of goods and service, the items in the basket reflecting the purchases of a typical average consumer. If the basket costs, say, $100 in one year and $200 a decade later then prices are said to double.

In practice the CPI basket gets changes over the years. Year on year changes do not much matter, but over the long run there will be considerable changes to the composition of and weights in the basket. The current one includes the family computer. The 1919 one may have included an abacus. Thus there is a bit of convention in the comparison, but the calculation gives a sense of historical values in current terms.

However, the calculator does not tell you the price of a particular product in today’s terms. That your grandparent’s land cost £200.00 in early 1919, does not mean the land cost $15,255.88 at the end of 2003. What the calculator tells you is that the £200.00 in 1919 would purchase a basket of goods and services which would have cost $15,255.88 in 2003. (Land is not even in the basket: it is not a consumer item.)

The calculator may also be misleading in regard to incomes. Suppose your grandfather earned £3-17s-0d a week, or £200.00 a year. The calculator shows the £200.00 was the equivalent of $15,255.88 ($293.38 a week) at the end of 2003, which is a low rate of remuneration in today’s terms. The calculation tells us what the wage would buy. But what you really want to know is that £3-17s-0d a week, was a little above the average manufacturing male wage for those days (see New Zealand Official Year-Book 1920, p.372). In the long run, earnings rise faster than prices, because of rising productivity. (Alas, there is no ‘earnings calculator’.)

The inflation calculator only goes back to 1919, as far as the quarterly data allows. Tabulated below is a simple, but not as robust, calculator going back to 1862. The tables give the value of a pound in a pre-1919 year in March quarter 1919 consumer prices (second column) and September quarter consumer prices (third column). It can be used in conjunction with the Reserve Bank Inflation Calculator by putting the second column figure into the RBNZ inflation calculator. for 1919.1. If the requested time is 2003.3 (the default setting) the answer should be the the third column figure.

What a Pound Could Purchase: 1862-1918

Calendar
Year
Value in 1919.1 pounds Value in 2003.3 dollars
  £(1919.1) $(2003.3)
1862 1.013 77.25
1863 1.041 79.41
1864 1.060 80.83
1865 1.040 79.31
1866 1.078 82.20
1867 1.038 79.19
1868 1.011 77.11
1869 0.881 67.23
1870 0.821 62.60
1871 0.849 64.75
1872 0.880 67.14
1873 0.856 65.27
1874 0.855 65.23
1875 0.839 63.97
1876 0.817 62.29
1877 0.816 62.28
1878 0.826 62.99
1879 0.729 55.64
1880 0.718 54.75
1881 0.723 55.15
1882 0.735 56.03
1883 0.735 56.03
1884 0.717 54.69
1885 0.684 52.14
1886 0.668 50.94
1887 0.629 47.96
1888 0.622 47.46
1889 0.609 46.44
1890 0.593 45.22
1891 0.605 46.12
1892 0.583 44.47
1893 0.573 43.69
1894 0.563 42.97
1895 0.555 42.36
1896 0.569 43.37
1897 0.572 43.61
1898 0.575 43.84
1899 0.561 42.80
1900 0.566 43.14
1901 0.595 45.38
1902 0.614 46.84
1903 0.615 46.93
1904 0.614 46.84
1905 0.625 47.69
1906 0.634 48.36
1907 0.643 49.04
1908 0.647 49.32
1909 0.648 49.39
1910 0.654 48.89
1911 0.660 50.32
1912 0.675 51.52
1913 0.694 52.95
1914 0.707 53.93
1915 0.734 55.96
1916 0.783 59.71
1917 0.848 64.68
1918 0.940 71.71

Notes
The table is based upon Margaret Galt’s consumer prices series published in
M.A. Arnold, Consumer Prices, 1870-1919, Discussion Paper No 12, Wellington: Department of Economics, Victoria University of Wellington, May 1982,
and subsequently updated in
M.A. Arnold, A Long Run Consumer Price Index for New Zealand for March Years 1862-1983, publication in possession of Brian Easton.
The published series is for March Years. December Years have been interpolated.

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Volume GDP: 1860-2003: a Database

Keywords: Growth & Innovation; Statistics;

The tabulation below the Chart is the best available longrun series of New Zealand’s volume GDP, volume GDP per capita, with Notes following. The data was originally compiled for The Economic Development of New Zealand.

The units are as follows:
Volume GDP & Volume GDP per capita: 1859/60 = 1000. (This enables the data to be rebased to any chosen year. What is important is percentage difference over time matter.)
Population: ‘estimated population’ thousands.
For further details go to Notes


Volume GDP: 1860-2003

March
Year
Volume GDP Vol GDP
per capita
Mean
Population
1860 1000 1000 73.4
1861 1227 1049 85.8
1862 1605 1152 102.3
1863 2297 1301 129.6
1864 2649 1200 162.0
1865 3035 1209 184.3
1866 3302 1216 199.3
1867 3623 1232 216.0
1868 3552 1132 230.3
1869 3850 1169 241.8
1870 3839 1117 252.2
1871 3904 1081 265.0
1872 4267 1114 281.2
1873 4915 1212 297.7
1874 5551 1283 317.8
1875 6061 1258 353.6
1876 6414 1197 393.5
1877 6888 1201 421.0
1878 7807 1307 438.6
1879 8228 1314 459.6
1880 7662 1151 488.8
1881 8335 1188 514.9
1882 8589 1180 534.3
1883 8566 1137 552.9
1884 8720 1113 575.3
1885 9368 1149 598.7
1886 9387 1119 615.9
1887 9621 1121 629.8
1888 9777 1115 643.6
1889 9890 1113 652.5
1890 10351 1151 660.1
1891 10603 1162 669.8
1892 10733 1158 680.4
1893 11103 1172 695.5
1894 11215 1150 715.8
1895 11028 1103 733.7
1896 11638 1142 748.1
1897 12670 1218 763.5
1898 12884 1213 779.7
1899 13274 1225 795.3
1900 13877 1258 809.6
1901 14704 1310 823.8
1902 15029 1311 841.7
1903 16240 1380 863.7
1904 17346 1433 888.4
1905 17682 1418 915.2
1906 19301 1504 942.2
1907 20967 1588 969.2
1908 21542 1589 995.1
1909 20444 1467 1023.2
1910 21355 1493 1050.4
1911 23816 1629 1073.0
1912 24621 1648 1096.8
1913 24188 1578 1125.0
1914 24642 1567 1154.7
1915 25410 1571 1174.6
1916 25186 1564 1182.6
1917 24912 1545 1183.7
1918 24126 1498 1182.7
1919 24804 1521 1196.8
1920 27317 1618 1239.1
1921 28201 1611 1284.8
1922 28322 1579 1316.9
1923 31172 1701 1345.5
1924 31487 1689 1368.7
1925 32684 1720 1395.4
1926 33010 1697 1428.3
1927 33290 1677 1457.7
1928 32687 1620 1481.1
1929 35074 1719 1498.4
1930 35438 1716 1516.4
1931 33490 1599 1537.3
1932 32399 1527 1557.4
1933 32327 1512 1569.9
1934 36074 1673 1582.8
1935 36686 1689 1594.7
1936 40122 1834 1605.9
1937 46232 2095 1619.7
1938 47918 2151 1635.7
1939 51165 2272 1653.2
1940 53842 2359 1675.9
1941 55740 2438 1678.3
1942 58579 2571 1672.8
1943 65957 2877 1682.8
1944 71415 3121 1680.1
1945 69968 3008 1707.9
1946 72035 3013 1755.2
1947 72361 2925 1816.2
1948 74628 2954 1854.6
1949 70903 2752 1891.6
1950 75708 2879 1930.2
1951 83487 3115 1967.8
1952 81901 2992 2009.6
1953 81800 2913 2061.7
1954 83657 2904 2115.0
1955 90174 3064 2160.5
1956 93508 3112 2206.5
1957 95351 3110 2251.1
1958 100310 3196 2304.5
1959 103202 3212 2358.6
1960 107303 3273 2406.6
1961 113571 3403 2450.1
1962 117185 3435 2504.9
1963 121056 3467 2563.2
1964 128465 3605 2616.4
1965 136620 3758 2668.8
1966 144869 3916 2716.0
1967 150536 3997 2764.7
1968 150051 3925 2806.3
1969 153197 3972 2831.8
1970 160392 4114 2861.4
1971 166168 4200 2904.8
1972 170006 4230 2950.8
1973 177246 4327 3007.5
1974 189856 4538 3071.4
1975 197968 4633 3137.3
1976 202730 4662 3192.2
1977 203932 4653 3217.7
1978 203739 4638 3225.2
1979 204521 4656 3224.8
1980 209000 4766 3219.6
1981 210961 4797 3228.5
1982 220670 4995 3243.4
1983 221221 4963 3272.4
1984 228015 5050 3314.6
1985 239985 5269 3344.0
1986 242430 5300 3358.4
1987 246182 5368 3366.9
1988 246756 5334 3396.2
1989 246065 5306 3404.6
1990 246364 5283 3423.2
1991 245879 5216 3460.8
1992 243086 5090 3505.8
1993 245642 5091 3542.2
1994 261494 5354 3585.3
1995 275283 5561 3634.4
1996 286736 5704 3690.6
1997 296883 5816 3747.3
1998 301393 5835 3792.2
1999 302662 5814 3821.9
2000 317469 6065 3842.9
2001 326083 6193 3865.4
2002 337723 6392 3897.2
2003 356285 6607 3958.6

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Notes
The general principle has been to use the best quality available series.

1. GDP per capita and GDP:
The series are constructed by linking the following series:

1859/60-1916/7
Keith Rankin, “New Zealand’s Gross National Product: 1859-1939″, Review of Income and Wealth, Series 38, Number 1, March 1992. Series from the past are typically of poorer quality than more recent ones. The Rankin series uses the synthetic procedure of money multipliers, rather than direct estimates. It is subject to a number of further weaknesses or problems as follows.
– The Rankin series is for GNP not GDP. The above assumes that there was a constant ratio between the two.
– The Rankin series is for the Non-Maori economy only. The linkage of the non-Maori economy before 1917/18 with the Maori plus non-Maori economy after. assumes that earlier the Maori made the same contribution to GDP as they did in 1917/18.
– The Rankin series assumes that the CPI follows a similar pattern to GDEF, when in fact they dont over short periods. (There was no GDEF for Rankin.)

1917/18-1930/31
Brent Lineham, “New Zealand’s Gross domestic Product 198/38”, New Zealand Economic Papers, Vol 2, No2, 1968. The Lineham series is a nominal series constructed by adding the value added of each production sector, as is the standard practice in the SNA accounting system.
It was deflated by a GDEF reported in Brian Easton, “A GDP Deflator for New Zealand: 1913/14-1976/7”, Massey Economics Papers B9004, December 1990, pp.83-102. The Easton series is a (fixed) weighted combination of the available price series.
Details are also reported in Brian Easton, In Stormy Seas, University of Otago Press, 1997, p.299.

1931/32-1948/49
There is an official nominal National Income or GNP or GDP series going back (sometimes intermittently) to 1931/32, constructed from income statistics. From this a nominal GDP series can be constructed using the Easton GDP deflator (above).
Details are also reported in Brian Easton, In Stormy Seas, University of Otago Press, 1997, p.299.

1949/50-1953/54
The Economic Survey 1956 published a volume GDP series. There is no indication how it was constructed.

1954/55-2002/3
Statistics New Zealand has constructed volume GDP since 1954/55. There are a set series constructed by different methods (and using different prices as bases).
A particular problem is 1977/78 where there is a clear break in the series. At this lap year, the official series suggests a major economic contraction, which corresponds neither to the accounts of the day, nor in any of the official data except for a major fall in the value of inventories. Unfortunately the survey base for manufacturing inventories was changed in that year, and there was no lap. A careful review, reported in Brian Easton The 1977/78 year (unpublished) suggests that after adjusting for the over-reported inventory decline, the contraction was much smaller – of the order of 1.3 percent. The volume GDP data here and in elsewhere in my work is adjusted to this contraction. The change makes no difference to the general topology of the series, although it affects quantities, so the difference does not materially impact upon the overall argument.

Population
The data series corresponds to the official data series except that before 1917/18 it is the series for non-Maori only (that being the series the Rankin uses), but is linked to the all New Zealand series, in effect assuming that the Maori/non-Maori proportions were constant back to 1859/60.
The other complication is that a post-census survey after the 1991 Population Census found there had been an undercount of around 2.5 percent. Before 1991 Statistics New Zealand reported the ‘de facto’ population based on the censuses: after it reports the ‘estimated’ population which allows for the undercount. We have no idea how large the undercount was before 1991, so the entire ‘de facto’ series is increased by 2.5 years. (What else might one do?)
(As an aside, if New Zealand is the only country to allow for an undercount in its population estimates, this may have the effect of lowering its ranking.)

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The Development Of the New Zealand Economy (short Version)

Paper for the Ministry of Economic Development Seminar Series: 25 February, 2004.

Keywords: Growth & Innovation

Notes: This is a the short version (about a third of the original’s length) of The Development of the New Zealand Economy.

1. The Political Economy of New Zealand’s Economic Development
2. Changing Sectors
3. The Course of GDP
4. The Long Run: 1861-2003
5. The Post-war Era
6. The 1966 External Shock and After
7. Explanations for the Slow New Zealand per capita GDP Growth
8. Non-Explanations for the Slow New Zealand per capita GDP Growth
9. Some Errors of Method
10. What Happened After 1984? Why the Great Post-War Stagnation?
11. The Importance of Thinking Sectorally
12. The Next Political Economy?
13. Conclusion

This year, 2004, is the thirtieth anniversary of when I first identified an anomaly in the behaviour of the New Zealand economy, which led to the research program in economic growth and development which I have worked on ever since. to I am grateful for the invitation from the Ministry of Economic Development for the opportunity to present an overview of that program, although inevitably space means that much of the detail is omitted. This work has been carried out in a context of what between them, George Santayana and Karl Marx famously said. ‘Those who do not learn the lessons of history, are doomed to repeat them: the first time is tragedy, the second time it is farce.’ For much of the New Zealand economic debate is has been woefully a-historical, with little reference to our economic history.

Mindful that the invitation came from a ministry for development, and not just for growth, I will begin with a political economy account of the past, which emphasise that economic change is not just about increases in material output, but a variety of other changes including the mix of sectoral outputs, the products consumed, the production technologies used, the way the economy and society is organised, the way people live.

1. The Political Economy of New Zealand’s Economic Development

Political economy can be described through the metaphor of tectonic plates. The geologists’ tectonic plates are great slabs of rock which shift about – pushing, crushing, and overriding one another. In a similar manner the economist’s tectonic plates are systems of economic organisation, which over time change as new ideas and circumstances create new ways of organising the economy, while old organisations disappear subducted by the overriding new. The conflict between the political economy plates leads to political and social change.

The first such plate in New Zealand – the beginnings of an economy – began about 750 years ago when the first Polynesians reached these shores. They came from a very different tropical environment, to one rich in protein food sources from birds and the sea. Unfamiliar with the new environment and with inappropriate organisational forms, they exploited the available resources in unsustainable ways. The term for this unsustainable political economy based upon exhausting the resources is ‘quarry’. In the depleted environment, any surviving communities have to develop a new sustainable tectonic plate. This led to a new political economy – the ‘Classic Maori.’ It was a closed economy without interaction with the rest of the world.

This changed just over 200 years ago with first the explorers and then the sealers and whalers. Just as those early Polynesians did not understand the environment they had come to, neither did the early Europeans. They quarried the natural resources too: whales, seal, timber, kauri gum, gold, other minerals, even soil was washed to the sea. So the first European political economy in New Zealand was what the French described as a “colony of exploitation” rather than a “colony of permanence”. It is a world in which the visitor comes, exploits, and moves on.

But from 1882 new technologies transformed New Zealand: refrigeration, the steamer and telegraph came from offshore, while the grasslands revolution was largely indigenous. Over the next eighty years the political economy based on producing grass, processing it into wool, meat, and dairy products, and selling them overseas in return for the desired imports.

The pastoral dominance ended in 1966 when the premium prices that farmers got for wool collapsed, never to return (except temporarily in the 1972-3 commodity boom), while meat and dairy prices were under pressure. The response was diversification – into horticulture, timber, fish, some minerals, tourism, and a little general manufacturing mainly to Australia.

Again the new political economy, which was based on the sustainable exploitation of primary resources, led to changes in the way New Zealand was governed and how New Zealanders lived. The story could be illustrated in many ways, but time allows only the example of the more market element of the 1984 economic reforms because the greater diversity of the export sector meant decentralisation in the economic mechanism became necessary.

Today there may be a new plate arising – that appears to be the intention of the Government’s Growth and Innovation Strategy which I discuss at the end.

2. Changing Sectors

The political economy of tectonic plates is a qualitative story, which reminds us that development is not simply about a single aggregate output. There are a few quantitative indicators which support this aggregate story.

Industry Composition

Table 1: Industry Shares in Nominal GDP

YEM 20 30 39 53 60 70 80 90 99
AGR 29.8 26.2 23.2 22.1 18.0 11.7 10.1 6.1 5.2
OPI     2.9 3.9 4.3 4.3 5.1 7.1 6.8
MAN 21.6 23.7 21.7 21.1 21.8 22.5 23.3 19.2 16.6
CON 4.0 6.6 8.0 7.1 7.2 5.7 4.6 4.2 3.9
WRT     15.2 16.4 18.7 20.7 20.0 17.7 18.3
T&C     5.8 8.5 7.4 8.0 7.9 7.6 7.1
FBS     7.7 7.3 8.2 9.1 9.6 14.2 16.3
OS     16.0 13.6 14.4 18.0 19.4 23.4 25.7

Notes:
The data is from a variety of sources, and involves some issues of changed definitions over time.
YEM = Year ended March
AGR = Agriculture
OPI = Other primary sectors (including electricity, water and gas)
MAN = Manufacturing
CON = Construction
WRT = Wholesale and retail trade, restaurants and hotels
T&C = Transport and communications
FBS = Financial and business services
OS = Other services
Sources: Table 9.1, page 140, In Stormy Seas

In summary, there have been major changes to the structure of GDP, particularly a substantial reduction of the share of agriculture in GDP over the 80 years, a diminution of the manufacturing sector for about 20 years, with the service sector expanding but not uniformly.

Deflators
Because of space limitations the section on deflators has been reduced to a summary.

Changing industry composition, means changing relative prices. This is nicely illustrated by comparing the Consumer Price Index (CPI) with the GDP price deflator (GDEF). … The CPI covers what consumers spend, including production in New Zealand, and imports of consumer goods. GDEF covers only what is produced in New Zealand, including for export and what goes into investment as well as consumption, but it excludes imports. The difference (shown in a graph not included here) is salutary. Aggregates operate on the basis that there is only a single product. Two such key prices diverging so markedly reminds us there an economy is about many products. The lesson is that the an economist concerned with the growth of the economy cannot just look at aggregate GDP. Sectors are important; prices are important; and profitability and other factor prices are important.

3. The Course of GDP

This section, which looks at past periods of growth, is omitted.

4. The Long Run: 1861-2003

The data on which this chart is based is available at “A Long Run GDP Series”

I have cobbled together the various GDP series, to give a 142 year run from March year 1861 to 2003, always using the better quality data. Chart 6, which uses a logarithmic or ratio scale, shows the stagnations in GDP per capita in the nineteenth century, and from the around 1908 to 1935, in the late 1940s to the early 1950s, and in the late 1980s and early 1990s. Noting a logarithmic scale graph, steeper means faster, we observe that there were rapid expansions in the 1890s and early 1900s, and the rapid growth from 1935 to 1945, plus a steady growth, with the odd hiccough from the 1950s to the early 1980s. In summary the last hundred years have seen an average growth of per capita GDP of about 1.6 percent p.a., a doubling of output per person every 44 years.

Chart 6 also shows a trend line based upon a fourth order polynomial. It recognises the nineteenth century stagnation, but sees a strong upward trend in the twentieth. However notice that the trend bends down late in the twentieth century. (For the record, the point of inflexion is 1938.) It may reflect the stagnation of the following years, an interpretation supported by that GDP levels have been above trend in the past few years. Alternately it may indicate a slowing of the long run growth rate for New Zealand.

5. The Post-war Era

We obtain an insight into what happened by from Chart 7 of NZ GDP from 1954/5. I have omitted the earlier years when New Zealand grew slowly relative to those OECD economies severely damaged by the war, but so did the other war-ravaged economies. Chart 7 shows the path of New Zealand volume GDP from March year 1955, where it is indexed to 1000.

Over this New Zealand GDP path is superimposed three OECD GDP paths. The first, on the left of the chart, is set so that OECD GDP is at the same 1000 in the March 1955 year. The middle path has the OECD GDP set at 820 in the March 1955 year, that is 18 percent lower than the first OECD path. The third path, on the right, has the OECD GDP set at 730 in the March 1955 year, or 11 percent lower than the middle path.

So the slowing down we saw in that long term trend was not continuous, but due to a couple of periods when shocks – which I discuss below – lowered the level of GDP relative to the OECD, rather like dropping a step or two on the ladder. Indeed in two thirds of the years – perhaps more – the New Zealand economy grew at much the same rate as the rest of the OECD. Chart 7 suggests five stages in the development of the New Zealand post-war economy relative to the OECD, although the endpoints may not be precisely those chosen here.

1954/5 to 1966/7: Upswing

1966/7 to 1977/8: Stepdown

Then, in 1966 New Zealand suffered a shock which put it on a slower growth path for about ten years. The next section shows the earthquake was the collapse in the wool price at the end of 1966.

1977/8 to 1984/5: Upswing

In the following seven years, the economy broadly followed the OECD growth path again, but at a relative level that was 18 percent lower than the path of the 1950s and early 1960s.

1984/5 to 1993/4: Stepdown

Then from 1985 New Zealand underwent another period of stagnation, through to 1993.

1993/4 – ? :Upswing

Since 1994 the economy has been growing at broadly the same rate as the rest of the OECD.

The new growth path is 11 percent below the path of the late 1970s and early 1980s. It is fatuous to say, as no less than authority the OECD did recently, that the New Zealand reforms are paying off. It is true that we appear to have returned to a growth rate comparable with the rest of the OECD but the reforms will not have ‘paid off’, until New Zealand is above the 1977/8-1984/5 track, and has made up for the deficit between.

6. The 1966 External Shock and After

Chart 8 shows Terms of Trade (the price of exports relative to the price of imports) since 1927 (when the official data series first became available). There is a relatively low level before 1950, a high period (which in In Stormy Seas is called ‘the plateau’ up to 1966 and then (except for the 1971-1972 commodity boom) a low period from 1967 to 1985, followed by some recovery though not to the plateau levels. An alternative interpretation, discussed in In Stormy Seas is from 1950 there was a trending down of the terms of trade. (I shall return to what happened after 1984 in a section below.)

In December 1966 the export price of wool fell about 40 percent. Except for a brief flurry during the 1971-1972 world commodity boom, it never recovered relative to import prices. In 1966 wool made up over 30 percent of export revenue. Add meat, and exports from sheep farming came to half of the total. So the single biggest tradeable sector took a major reduction in its profitability, while capital and skills which had been sunk into the sector became valueless.

The immediate effect of such a shock was for the economy to contract, and there was in 1967 – as there was had been in the 1932 – a devaluation to share the burden of the commodity price downturn across the entire economy, rather than concentrating it in a leading sector. But instead of clinging to the weakened sector, as happened in the 1930s, the New Zealand economy in the 1970s went through an export diversification – into horticulture, forestry, fishing, mining, general manufactures, and tourism. The external diversification was spectacular. No other OECD economy compared. Even so the economy slowed down. When New Zealand recommenced upon its traditional growth path it was at a level some 18 percent below the previous one.

7. Explanations for the Slow New Zealand per capita GDP Growth

Among the explanations I have investigated and given some credence to are:
Post-war Catchup
Systematic Measurement Errors
Population Growth
The Convergence Effect
Terms of Trade

All seem to have slowed per capita New Zealand GDP growth in the post-war era to some extent. But none – except the terms of trade – explain the transition from the pre 1966 track to the post 1977 one, nor the magnitude of the difference two paths.

8. Non-Explanations for the Slow New Zealand per capita GDP Growth

There are some popular explanations which hardly conform to any known scientific methodology.

Excessive Intervention

It was popular to argue in the 1980s that the New Zealand economic mechanism had been too dependent upon centralist interventions, which slowed down the economic growth rate. The policy prescription was that a major economic liberalisation, shifting the mechanisms to more-market, would accelerate economic growth. The evidence of the 1990s is that it did not. But here we evaluate the theory from an early 1980s perspective.

There was no attempt to demonstrate the connectedness of the proposition, nor to measure it. In particular, was Zealand was more intervened than the countries with which any comparison was (implicitly) being made? Additionally the account was ahistorical: it is not obvious interventions intensified in 1966. Moreover the period of fastest growth – from 1935 to 1945 – was a time when the economic mechanism was highly interventionist, much more so than it was in the 1970s.

Size of the Economy

The same problems apply here as apply to the market mechanism thesis.

Distance

The same non sequiturs apply. Indeed ,if distance was an inhibition, one would have thought that the continue and remarkable reductions in the cost of distance in the post-war era ought to have speeded up New Zealand’s economic growth rate.

9. Some Errors of Method

Correlation is Not Causation

The tendency to connect unrelated facts which appear about the same time, without any analytic account of how they are connected, or empirical verification has already been mentioned. It is typically associated with the ignoring of facts which contradict the connection and alternative theories which might prove more robust.

Choose the Period Carefully

Statisticians must continually worry whether the conclusions are robust to the period chosen. This is particularly applies to the business cycle, since a trend can be changed by selecting the bottom of one cycle to the top of another. Another problem is the choice of a longer period. Beginning the analysis of post-war growth from 1970 misses the 1966 step-down.

Tautologies are Not Explanations

Relativities Not Rankings (See also appendix).

Much of the New Zealand discussion has been in terms of its ranking measured by GDP per capita among OECD countries. Whatever the mathematical distaste for using an inferior measure, rankings have also misled researchers. Chart 9 shows both OECD relativities and rankings. Not only does the ranking pattern not closely follow the relativity, but for the first 15 years New Zealand hardly changed its ranking, although its relativity fell dramatically. The same applies to the last twenty years, when only Ireland passed New Zealand. Even so, New Zealand’s GDP per capita fell from the about the OECD average to just above 83 percent. A regrettable result from the focus on rankings has been the focus on the 1970s when New Zealand dropped nine placings, and ignore the problems of the post 1984 period. The earlier period is easily explained able in terms of the 1966 terms of trade crash. The later period is more complicated to explain.

10. What Happened After 1984? Why the Great Post-War Stagnation?

The graphs show that GDP broadly stagnated from 1985 to 1993. There even appears to be a sequence of six years when GDP per capital fell one year after another. There is no obvious external shock in the mid 1980s of sufficient magnitude to explain all the stagnation. I looked at the third oil shock (in 1985 when the real price of oil fell) and the hike in real interest rates. While both impacted unfavourably on the New Zealand economy, neither were large enough.

There is a left wing view that the stagnation was due to the general liberalisation, but it offers no account of why liberalisation should generate stagnation, and really belongs to the A therefore B category of non-arguments. Australia went through a similar liberalisation, but it did not experience a stagnation.

A middle view is that poor policy sequencing lead to a financial liberalisation which distorted the economy, leading to a temporary economic boom, and then the sharemarket crash of 1987. There is some merit to this argument, and I shall return to the question of poor macroeconomic policy shortly. But I do not see how the theory explains the length of the stagnation.

The right wing view claims that there was going to be a severe contraction or even an economic crash in the 1980s and that the liberalisation may have been associated with the stagnation but it prevented a far more serious occurrence. Regrettably there is no evidence of this possible crash. The one attempt to predict the medium term course of the economy in 1985 by Bryan Philpott contradicts the conclusion that the policies of the 1980s and 1990s made no contribution to the stagnation.

Rather than look for an external shock, we look for an internal shock which impacted on the external sector. Table 2 which compares New Zealand’s economic performance with other OECD countries over the 1985 to 1998 period shows there was a problem in the external sector.

Table 2: Economic Performance: 1985-1998
percent p.a. unless otherwise stated. (average for period, unless otherwise stated)

  NZ Australia Ireland OECD
Private Consumption Deflator        
Average 4.6 4.1 2.6 5.5
Employment Growth        
Average 0.8 1.9 2.2 1.2
GDP Volume Growth        
Average 1.7 3.1 6.0 2.7
Labour Productivity Growth        
Average 0.9 1.2 3.8 1.5
Export Volume Growth        
Average 3.9 7.1 11.7 6.9
Import Volume Growth        
Average 5.3 6.6 9.8 7.2
Current Account Deficit        
Average (% GDP) 3.7 4.8 -0.8 0.2

OECD Economic Outlook (December 1998). The New Zealand figures do not always correspond to the official figures, but are used here for consistency, The OECD consists of 28 economies. *G7 for unemployment.

The picture is that New Zealand had the inferior economic performance, compared to the rest: poor GDP growth, poor productivity growth, high unemployment growth, despite the most favourable terms of trade boost. The one success was the dramatic reduction in inflation. Most of all, New Zealand had a poor export performance – worse than its import growth.

The import growth is not surprising, given border and internal protection had been reduced, although without the import substitution of the ‘Think Big’ major projects it would have been even higher. Similarly the poor growth of the export sector is better than one might expect because it is boosted by some Think Big exports, and by the horticultural and forestry exports from plantings before 1985.

Table 3 with the available data for the 1978 to 1985 period shows that the whole New Zealand economic performance was much better during the Great Stagnation, except for inflation. In particular export growth was higher: more comparable to the rest of the OECD.

Table 3: Economic Performance: 1978-1985
percent p.a. unless otherwise stated. (average for period, unless otherwise stated)

  NZ Australia Ireland OECD
Private Consumption Deflator        
Average 13.2 9.0 13.3 7.4
Employment Growth        
Average 1.1 1.5 -0.4 0.8
GDP Volume Growth        
Average 3.0 3.2 2.7 2.4
Labour Productivity Growth        
Average 1.9 1.7 2.3 1.6
Export Volume Growth        
Average 5.2 5.4 9.57 5.1
Import Volume Growth        
Average 5.3 5.4 3.7 4.2
Current Account Deficit        
Average (% GDP) 5.8 4.0 8.4 0.5

OECD Economic Outlook (June 1993). The New Zealand figures do not always correspond to the official figures, but are used here for consistency, The OECD consists of 24 economies.

Why did exporting do so badly in the late 1980s and early 1990s? Crucial to any sector’s performance is its profitability. A good proxy for export profitability is the real exchange rate – or rather its inverse. The higher the exchange rate the lower the profitability of the export sector.


Chart 10 shows a leap in real exchange rate the late 1980s. The New Zealand government had no view on what the exchange rate should be and thought the market would set the appropriate rate. It did not appreciate that its macroeconomic stance tended to push the real exchange rate up. The government was running a large budget deficit in the 1980s, which meant that the economy had to suck in overseas savings, and that tends to push up the exchange rate. An even great influence may have been the disinflation. The Reserve Bank targeted the Consumer Price Index, which being a measure of expenditure rather than production, has a large import – and therefore exchange rate – component. The easy way to depress the CPI was to hike the exchange rate.

A high – ‘overvalued’ – exchange rate means that the profitability of exporting (and import substituting) was compromised. This has two effects. First, some parts of the tradeable sector contract and close down. This is most evident in the import substituting industries. Second, other parts of the tradeable sector would cease to expand: the mechanism is that the fall in profitability means there are fewer attractive investment opportunities, while sales are not generating the cash flow to fund the investment. Of course this slowdown would phase in. The medium term outcome would be that the tradeable sector would slow down.

Eventually, the tradeable sector adjusts to the high real exchange rate, by eliminating all its activities which are unprofitable below that rate, at which point it begins expanding again, apparently at roughly the same rate as had occurred before the exchange rate hike. So economic theory says a step-up in the level of the real exchange rate will lead to step-down in the level of GDP with a lag, a transition path of a period of slow GDP growth or even stagnation. That is exactly what happened in practice after 1985. The liberalisation which took place after 1984 did not lead to the stagnation, but the poor quality macroeconomic management of the period did.

11. The Importance of Thinking Sectorally

There are many lessons in this paper. Here the focus is on the importance of thinking sectorally. Suppose we wanted to think about the possibility of an annual GDP growth rate of 4 percent p.a. Those trapped in the aggregate GDP paradigm would write down a mathematical tautology, perhaps leading to a level of TFP growth that had to be obtained.. In contrast, a sectorally focussed approach recognises that different sectors grow at different rates. Let me group sectors into four.

The first sector category, perhaps called the tens, are sectors which are likely to grow at 10 percent per annum or more in volume terms. Typically these are very dynamic industries perhaps responding to a new technology or fashion. But ‘tens’ are small industries. As their rapid growth makes them larger, they tend to slow down to join the second category.

The second sector category (sevens), are those which grow faster than the economy as a whole – say around seven percent p.a. Because they are big enough and fast enough to drag the rest of the economy along with them they are the key sectors in economic growth.

The third sector category (fours), are those sectors which grow about the same rate as the economy as a whole. They are not unimportant and can be quite dynamic. But they are not economic drivers.

In the final sector category, to be called the ones, are those which grow markedly below average. Not all sectors can grow above average. ‘One’ industries often still have productivity growth with their demand stagnation. How do we shift their underutilised resources into the ‘sevens’?.

What are the characteristics of ‘sevens’? A possibility unavailable in New Zealand is the ‘bootstrapping seven’, a domestically oriented sector which can drag the entire economy along.

Import substitution might seem to be a bootstrapper but, like exporting, it is displacing overseas producers. The most common ‘seven’, is a tradable industry – in today’s circumstances an exporter. In the postwar era, OECD exports and imports grew faster than output. I will come back to why they did shortly. But there is a second reason why a small economy like New Zealand is likely to have ‘sevens’ in the export sector. As a general rule, New Zealand is only a small exporter relative to market size so it can expand its share of the market without severely disrupting competitors. Thus its export sectors can grow faster than the domestic sector and, in doing so, drag the rest of the economy onto a faster growth path.

Tradeable sevens seems to be the only broad growth and development strategy available to New Zealand. That is the lesson of the ‘step-downs’ of the post-war era, for on both occasions the poor economic performance was associated with a poorly functioning exportable sector. While the first occasion – from 1966 into the 1970s – was through an event over which New Zealand had little control, the second step-down has all the hallmarks of our own fault, when we ignored that the key requirement for successful growth, an industry is that it has to be profitable.

12. The Next Political Economy?

To finish with a little speculation about the future New Zealand political economy. While it has transformed from one dominated by the pastoral sector into a more diversified one, there is still an underpinning resource base for most of the major industries: tourism, dairy products, meat products, forestry, horticulture, fish products, wool minerals and energy.

If I have understood the Growth and Innovation Strategy aright, the government wants to accelerate the roles of human capital and creativity. To understand how this fits into the international trading pattern – I am now no longer describing the government’s strategy but interpreting and extending it – recall that there exports grow faster than output. Now there is nothing inherent about exports that their income elasticity of demand should be substantially greater than unity. What seems to be causing the rapid growth in the patterns of the location of production.

Today, about a quarter of the world’s trade is in oil, a quarter in primary products, and a quarter in general manufactures which are traded according to the rules of comparative advantage. The final quarter of world trade involves intra-industry trades, which occur when the two countries trade broadly the same goods or services – say the French buying Volkswagens and Germans buying Renaults. There was negligible intra-industry trade immediately after the war, so this is the fast rising part of international trade.

Intra-industry trade is governed by the rules of competitive advantage not comparative advantage. Is theory is a recent one. It is based upon products which are similar but can be differentiated by the market, it involves economies of scale in production and other advanced technologies, and it driven by the falling costs of distance.

New Zealand has probably the poorest intra-industry trade record in the rich OECD. An issue is whether New Zealand can get into intra-industry trade – exporting pharmaceuticals to Europe, software to the US, films to Hollywood, while, of course, also importing pharmaceuticals from Europe, software from the US, films from Hollywood. A way of interpreting the ‘innovation’ part of the Growth and Innovation Strategy is it aims to create industries involved in intra-industry trade which are tens, and grow them strongly enough to become the sevens. This upwelling of a new political economy tectonic plate need not subduct the diversified resource plate. There may be synergies between them – to mix metaphors.

Whether we are economic theorists or practical policymakers we are feeling our way about the significance of competitive advantage and intra-industry trade. Much of my research program over the next few years is trying to understand it. So I conclude with the more fundamental messages with which has pervaded this paper.

13. Conclusion

To narrow economists, I would say that one cant think about the growth process at the aggregate level. One has to think about it sectorally, including about what is happening to product prices and factor prices (including profitability).

The message to the wider audience is that economic development is different from economic growth. It is not simply about increases in aggregate output. but about the changes in the mix of sectoral outputs, the products consumed, the production technologies used, the way the economy and society is organised, and the way people live.

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Go to the longer version of this paper.

 

The Development Of the New Zealand Economy (i)

Paper for the Ministry of Economic Development Seminar Series: 25 February, 2004.

Keywords: Growth & Innovation

Notes: This is a long paper, and is in two parts. There is a short version (of about a third the length). Despite its length, many of the arguments have had to be abbreviated. Some guidance is given in the text of web references where there is greater detail. More material will be found in the Index of New Zealand’s Economic Performance. The foundation source is the book “In Stormy Seas”“In Stormy Seas”

Go to Part II

1. The Political Economy of New Zealand’s Economic Development
2. Changing Sectors
3. The Course of GDP
4. The Long Run: 1861-2003
5. The Post-war Era
6. The 1966 External Shock and After
7. Explanations for the Slow New Zealand per capita GDP Growth
8. Non-Explanations for the Slow New Zealand per capita GDP Growth
9. Some Errors of Method
10. What Happened After 1984? Why the Great Post-War Stagnation?
11. The Importance of Thinking Sectorally
12. The Next Political Economy?
13. Conclusion

Appendix: Rankings and Relativities
Appendix II: Recent Developments in the Terms of Trade

This year, 2004, is the thirtieth anniversary of when I first identified an anomaly in the behaviour of the New Zealand economy, which led to the research program in economic growth and development which I have worked on ever since. to I am grateful for the invitation from the Ministry of Economic Development for the opportunity to present an overview of that program, although inevitably space means that much of the detail is omitted. It can be found in my In Stormy Seas, and other research papers.

This work has been carried out in a context of what between them, George Santayana and Karl Marx famously said. ‘Those who do not learn the lessons of history, are doomed to repeat them: the first time is tragedy, the second time it is farce.’ For much of the New Zealand economic debate is has been woefully a-historical, with little reference to our economic history.

Mindful that the invitation came from a ministry for development, and not just for growth, I will begin with a political economy account of the past, which emphasise that economic change is not just about increases in material output, but a variety of other changes including the mix of sectoral outputs, the products consumed, the production technologies used, the way the economy and society is organised, the way people live. After the political economic account I will describe the main outlines of aggregate economic output through time. Then, focussing on recent times, I shall look at New Zealand’s aggregate performance compared to other countries, and finish with a quick summary of my own explanatory account of what happened and some critical remarks of the inadequacies of some of the other accounts, together with an indication of the policy implications.

1. The Political Economy of New Zealand’s Economic Development

(For an earlier but more elaborate version of this section see “Towards a Political Economy of New Zealand: The Tectonics of History”.)

Political economy can be described through the metaphor of movements of the earth’s crust. The geologists’ tectonic plates are great slabs of rock which shift about – pushing, crushing, and overriding one another. In a similar manner the economist’s tectonic plates are systems of organisation, which are in conflict and over time change as new ideas and circumstances create new ways of organising the economy, while old organisations disappear subducted by the overriding new. Just as in geology the clash of the plates generates earth movements which modify the land on which we live, the conflict between the political economy plates also leads to political and social change. The earthquakes we record, in geology – or in politics and sociology – are the visible outcomes of the long term movements of the plates.

The first such plate in New Zealand – the beginnings of an economy – began about 750 years ago when the first Polynesians reached these shores. They came from a very different tropical environment, to one rich in protein food sources from birds and the sea. Unfamiliar with the new environment and with inappropriate organisational forms, they exploited the available resources in unsustainable ways. Birds became extinct (most spectacularly the Moa), seal colonies in the north became exhausted, and many fish and shell fish declined in numbers.

The term for an unsustainable political economy based upon exhausting the resources is ‘quarry’. In the depleted environment, any surviving communities have to develop a new political economy – a new tectonic plate has to arise.. We know little about the transition but the outcome was a more sustainable economy and society which relied on kumara and fern roots. That involved the development of new technologies, kumara pit storage over winter and more efficient gardening rather than gathering. It also seems to have resulted in the development of stable property rights, enforced by military control centred on the pa. This led to a new political economy – the ‘Classic Maori’ – because the technology changed the way society was organised.

About 500 years ago Maori longevity was similar to that in Western Europe. Given food clothing and shelter was the substantial core activity of such economies, we might cautiously conclude that even though the Maori had no metals, their standard of living was then probably similar to the Europeans, although with less inequality. Moreover the population was slowly expanding. There is much we do not know about the Classic Maori political economy – the quantitative material is very deficient – but it had one fundamental difference from all those that came after, and the Polynesian quarry before. It was a closed economy without interaction with the rest of the world.

This changed just over 200 years ago with first explorers and then the sealers and whalers. Just as those early Polynesians did not understand the environment they had come to, neither did the early Europeans. They quarried natural resources too: whales, seal, timber, kauri gum, gold, other minerals, even soil was washed to the sea. We might also think of the European quarry treating the Classic Maori in just as an exploitive way, and war and land speculation are not sustainable either. So the first European political economy in New Zealand was what the French described as a ‘colony of exploitation’ rather than a ‘colony of permanence’. It is a world in which the visitor comes, exploits, and moves on, leaving behind debris and ruin.

Histories of New Zealand tend to ignore the quarry phase, even though it continued in some regions – notably the West Coast – until recently, and the Taranaki is a new quarry province based on the hydrocarbon reserves. Conventional history’s vision is a permanent settlement from the beginning. In practice the early settlements were primarily suppliers to quarries, and without them would have been even more impoverished. While the settlers demanded produce from the rest of the world, they had little to offer other than the depleting natural resources. The exception was wool. It is not inconceivable that New Zealand could have ended up as the Falkland Islands of the South Pacific.

But from 1882 new technologies transformed New Zealand: refrigeration, the steamer and telegraph came from offshore, while the grasslands revolution was largely indigenous. Over the next eighty years the political economy based on producing grass, processing it into wool, meat, and dairy products, and selling them overseas in return for the desired imports. There is much to be told of this story, especially in the way the new economy impacted on social and political organisation. But there is space for only one example. Women are useful in the quarry for their sexual services. They are necessary in the sustainable settlement because it needs children to survive. So we see a rise of the importance of women in the social and political life of late nineteenth century.

By now the Maori political economies and the quarries had both adopted much of the technology and even the organisation of the European tectonic plates, but had been marginalised, not least because they had lost so much land, although their vital role in provedoring the quarry should not be forgotten. Now the pastoral economy dominated New Zealand from the 1880s to the 1960s.

However, sometime in the inter-war period there evolved a section of the economy which was based on import substituting industrialisation. I am not sure whether this was an entirely new political economy – certainly there were intense political clashes between the two – or whether it evolved out of the prosperity of the pastoral economy. By the 1990s it had largely ended, although it was to leave a successor in a export oriented industrial base.

The pastoral dominance had ended too. In 1966 the premium prices that farmers got for wool collapsed, never to return (except temporarily in the 1972-3 commodity boom), while meat and dairy prices were under pressure. The response was diversification – into horticulture, timber, fish, some minerals, tourism, and a little general manufacturing mainly to Australia.

Again the new political economy, which was based on the sustainable exploitation of primary resources, led to changes in the way New Zealand was governed and how New Zealanders lived. Again the story could be illustrated in many ways, but time allows only the example of the more market element of the 1984 economic reforms because the greater diversity of the export sector meant decentralisation in the economic mechanism became necessary.

We are now so close to our own times that it is difficult to see the great movement of the tectonic plates of the political economy. At the end I shall suggest that there may be a new plate arising: that appears to be the intention of the Government’s Growth and Innovation Strategy.

2. Changing Sectors

The political economy of tectonic plates is a qualitative story, which reminds us that development is not simply about a single aggregate output. There are a few quantitative indicators which support this aggregate story. Some come up later – when we review the great diversification of the 1970s – but a couple of longer term ones can be inserted here, although they dont cover the entirety on New Zealand’s economic history.

Industry Composition

Table 1: Industry (percentage) Shares in Nominal GDP

YEM 20 30 39 53 60 70 80 90 99
AGR 29.8 26.2 23.2 22.1 18.0 11.7 10.1 6.1 5.2
OPI     2.9 3.9 4.3 4.3 5.1 7.1 6.8
MAN 21.6 23.7 21.7 21.1 21.8 22.5 23.3 19.2 16.6
CON 4.0 6.6 8.0 7.1 7.2 5.7 4.6 4.2 3.9
WRT     15.2 16.4 18.7 20.7 20.0 17.7 18.3
T&C     5.8 8.5 7.4 8.0 7.9 7.6 7.1
FBS     7.7 7.3 8.2 9.1 9.6 14.2 16.3
OS     16.0 13.6 14.4 18.0 19.4 23.4 25.7

Notes:
The data is from a variety of sources, and involves some issues of changed definitions over time.
MYE = March year ended
AGR = Agriculture
OPI = Other primary sectors (including electricity, water and gas)
MAN = Manufacturing
CON = Construction
WRT = Wholesale and retail trade, restaurants and hotels
T&C = Transport and communications
FBS = Financial and business services
OS = Other services
Sources: Table 9.1, page 140, In Stormy Seas

Table 1 shows the sectoral composition (by value) of GDP for about as far back as we can go.

There have been major changes to the structure of GDP, particularly a substantial reduction of the share of agriculture in GDP over the 80 years (and which today is exceeeded by the share of other primary industries), a diminution of the manufacturing sector for about 20 years, with the service sector expanding but not uniformly. There are complex stories hidden within these sectors. For instance, the increasing share of the finance and business sector in the economy partly reflects outsourcing, but it also is in part of its poor productivity record so its prices rise faster than average. Conversely, the IT part of transport and communication has expanded rapidly but with reductions in prices so the sector is relatively smaller in nominal terms. In summary, development involves changes in the composition of GDP, which are lost in the focus on the growth of the aggregate.

The lesson of history is that development involves changes in the composition of GDP, which are lost in the focus on the growth of the aggregate.

Deflators

Changing industry composition, means changing relative prices. This is nicely illustrated by comparing the Consumer Price Index (CPI) with the GDP price deflator (GDEF), an exercise I first did to evaluate the usefulness of the CPI as a proxy for GDEF. (I concluded it was a poor one.)

While there are technical difficulties in using the official GDEF or CPI indexes over long periods, Chart 1 shows their ratio over the entire period back to 1954/55 when the GDEF is available. There is hardly any trend, so the long run growth of the CPI and GDEF were broadly the same. But there are major short term swings around this flat trend.

Consider the upswing in the early 1970s, when the ratio rose 10 percent in three years. Had the Statistics New Zealand used the CPI to deflate nominal GDP, it would have miscalculated volume GDP growth by over 3 percent p.a. over the short period. This is the most spectacular example, but in over half of the years for which we have data, the divergence in the change between the CPI and GDEF was 1 percentage point, in over a quarter it is more than 2 percentage points. (The standard deviation of the divergence is 2.0 percentage points.) Using consumer prices (the CPI )as an indicator of production prices (the GDEF) gives a misleading account of the business cycle.

While at this stage one could raise some macro-economic policy issues, particularly the relevance of the CPI in the Policy Targets Agreement, there is also an important growth versus development dimension here. The divergence occurs because the CPI and the GDEF are covering quite different groups of products. The CPI covers what consumers spend, including that produced in New Zealand, and imports of consumer goods. GDEF covers only what is produced in New Zealand, including for export and what goes into investment as well as consumption. But it excludes imports. GDEF is about the prices which New Zealand producers influence, which are not the same as the prices which New Zealand consumers face. The terms of trade and nominal exchange rate changes, as well as productivity differences between sectors reflecting in price differences contribute to the divergence.

The difference is a salutary reminder that aggregates operate on the basis that there is only a single product. Two key prices diverging so markedly arises because an economy is about many products. An economist concerned with the growth of the economy cannot just look at aggregate GDP. Sectors are important; prices are important; and profitability and other factor prices are important.

3. The Course of GDP

I turn now from a political economy account of New Zealand to focusing on the aggregate economic growth as measures by GDP. I am not going to defend GDP as a measure of welfare – I have probably written more than any other New Zealand economist of the difficulties it involves. See Index on Wellbeing and Materialism for some of this writing. The focus of it here is that it is a measure of the aggregate output of the monetary economy.

There are no direct estimates of GDP before the late 1910s. There are synthetic estimates which use a money multiplier on the stock of money to estimate GDP. The first was by Gary Hawke, but his figures did not meet the common sense test of conforming to what else we know about the economy. In particular there was a long depression in the 1880s, which is not apparent in his figures.

1859-1939: The Rankin Series

Keith Rankin pointed out that the money multipliers should be adjusted for the business cycle. I have serious doubts about the synthetic method, but as Bob Solow once quoted an inveterate gambler by ‘I know it is crooked, but it is the only casino in town.’ Chart 1 shows per capita GNP at 1910/11 prices, which largely ignores the Maori economy. (It is smoothed by a two year moving average.)

This series meets the common sense test, although Rankin may have used a bit of common sense choosing his multipliers. We see a sharp rise in the early 1860s with the gold finds and than the running down as the easy gold was exhausted. The boom in the 1870s reflects the Vogel borrowing, which came to an end in 1878 with the collapse of the Bank of Glasgow, in London, followed by the long depression of the 1880s. (To return to a theme, initially the northern half of the North Island boomed while the South stagnated – a divergence lost in the aggregation.) There is little overall per capita economic growth in the period. What seems to have happened is that population flowed in, (there was a big increase in this period) attracted by the relativity good prospects New Zealand then offered, while any improvements in productivity were offset by the depletion of the natural resources.

Sometime in the mid 1890s, despite the running down of the quarry, the economy began to expand quickly as the new pastoral economy accelerated and export prices rose relative to import prices (in part as a result from lower shipping costs). Rankin thinks GNP per capita may have increased by over 40 percent in a dozen years, a per capita growth rate of 3 percent per annum.

The expansion came to an end in the late 1900s – perhaps signalled by the 1908 Blackball strike when mine-owners began to reduce working conditions as their markets stagnated. The stagnation seems to have lasted two decades to 1929, followed by the trough of the Great Depression, and then we get a sharp upswing in the late 1930s.

Over the eighty years of Rankin’s series, volume GNP per person rose almost 90 percent, or .8 percent p.a. However we must be cautious. The synthetic method can easily tilt the trend slightly, so the average is subject to a large margin of error. In any case given that lifestyles and consumption patterns were so different between 1859 and 1939 one wonders whether any comparison is meaningful.

1917/8-1938/39: The Lineham Series

Brent Lineham directly estimated GDP from 1917/18 to 1938/39 by aggregating the value added of each sector. The result is nominal a GDP series, which has a sounder basis than the Rankin series, albeit it covers only a quarter of his period. Rankin notes that his and Lineham series diverge, which is a bit disappointing, but that emphasises the dangers of the synthetic series.

To derive a volume GDP series from the Lineham series. I constructed a GDEF up to 1954/55 by weighting the available price indexes. (This was almost twenty-five years ago, and with hindsight I realise that the fixed weights over a forty year period may have been unwise, and I have even thought how to deal with this in the most important area of the external economy.)

The picture is broadly that of the Rankin series, albeit with more precision. There was some expansion following the First World War. as soldiers came back to work, but the 1920s were a period of near stagnation, followed by a slump in the early 1930s. and a strong upswing thereafter. We shall see more of this upswing in the next series. Note how the projection of the trend of the 1920s suggests the economy recovered from the Great Depression by as early as 1936, although an alternative interpretation is that the whole of the 1920s were also a period of ‘depression’, and the high growth we see after 1933 reflects the recovery from the 1920s as well as the early 1930s. In some of my writing I have argued the ‘Interwar Depression’ thesis, distinguishing that experience from the ‘Great Depression’ which is confined to the early 1930s.

Surprisingly, the fall in per capita output during the great depression seems only to be about 13 percent over two years (to about the level the economy was at the end of the war), and there is hardly any fall in the earlier, shorter, but perhaps as harsh one in the beginning of the 1920s. Rankin thinks that Lineham may have got the downturn of the early 1930s wrong, because he is combining data from different year endings, but there is also the problem of interpreting the concepts undelying the series.

The Lineham series is showing is the pattern of the volume of output, not the pattern of real income, the ability to purchase goods and services. The terms of trade – the price of exports relative to the price of imports – fell substantially during the Great Depression. A fall in the terms of trade would have reduced spending power even had there been no reduction in output, because the exports would have bought less imports. That reduction in income also reduces spending and the purchase of domestically produced goods and services, and that is what we see in the Lineham series.

This distinction between output and spending power is measured by today’s National Accounts statisticians in their measures of real GDP and RGDI (Real Gross Disposable Income). It is a distinction often crucial for understanding the New Zealand economy, because it experienced bigger swings in its terms of trade than any other OECD country I have looked at.

Cautiously, in order to give an idea of the effect, I adjusted the Lineham series for the changes in value of exports from the terms of trade to give a rough RGDI series. That suggests there was an 18 percent contraction in RGDI in the two years Additionally there was a contraction of credit and the ability to borrow, together with the general economic dislocation that price and volume changes generate, plus major reduction in the market value of wealth.

The (Almost) Official Series: 1932-1960

There is sufficient bits of official series to construct a nominal GDP series from 1931/32, at the bottom of the Great Depression. Again we have to deflate it by the GDP deflator I constructed. Chart 4 shows the result to 1960, which gives almost a decade overlap with the Lineham series at the beginning, and a decade lap with the next (official) series at the end.

Again we see a high growth rate in the 1930s and through to the early 1940s, long after the recovery from the Great Depression. The peak is in 1943/44, following a decade of 6.5 percent per capita annual growth, comparable to that of the East Asian economies in the 1980s and 1990s, or the Irish in the 1990s. However that includes the extra effort of a war economy and it probably makes more sense to think of the per capita growth rate from the mid 1930s to the late 1940s of between 5 and 6 percent p.a. There is post-war stagnation, as presumably things got back to normal (soldiers got back and replaced women who had been in the paid workforce), a recession in 1947/48 and 1948/49 which may have cost the Labour Government the 1949 election. Even so, in its 14 year reign, GDP per capita rose 54 percent. (For comparison, the Rankin series suggests the previous increase of that size took over 85 years, and the next series suggests it took 30 years after 1950 for per capita production to rise 54 percent.) It was a period too, when New Zealand seems to have grown faster than Britain and Australia and probably the US. Comparisons with war ravaged countries are hardly appropriate, but the reverse will happen after the war, when the ravaged grow faster than those that were not invaded.

Thus the late 1930s and 1940s were the best sustained economic growth rate in New Zealand’s history. It was not due to the recovery from The Great Depression, which was over by 1936. There has not been a lot of work on why there was the success. One factor must have been the application of underutilised capacity that existed in the 1920s, but external conditions were favourable, there was major technological change in the pastoral sector from grass growth, and as discussed earlier, perhaps import substituting industrialisation was important. Interestingly, the high degree of government intervention during the period does not seem to have handicapped growth.

The Official Series (1949/50-2002/3)

We are now at the stage where we can use official series, although we are splicing together a series of differently constructed measures. To give but one indication, after 1991 the population estimate allowed for the census undercount, so I have had to increase the population before 1991 by that measure. The way volume GDP has been measured over the years has varied also. (On the principle of getting as long a series as possible, I have added some Treasury published – in the 1956 Economic Survey – estimates of the GDP volumes before 1954/5, although Statistics New Zealand has never owned them.)

Chart 5 covers only 50 years in contrast to the Rankin series’ 80 year coverage. It is harder to interpret, because it shows a much stronger trend. GNP per capita growth averaged .85 percent per capita, in the 1859 to 1939 period, whereas the GDP per capita growth in the 1950 to 2003 period averaged 1.55 percent p.a. (The difference between GNP and GDP growth may not matter much in this context.) Moreover the earlier period shows considerable stagnation with a couple of growth booms, whereas more recently we have experienced increases in most years with six, usually short, periods of setbacks. I use these breaks to tell the story of post-war growth.

Except for the Korean War Wool boom, the immediate post-war era seems largely to have been a period of stagnation. However from the mid 1950s New Zealand went into a period of strong GDP growth of just over 2.2 percent p.a. in per capita term.

This comes to an end in 1966 when the prices of wool fell. There is an immediate downturn with per capita growth reduced to 1.4 percent p.a.. This is a controversial period, because it is the context for the debate over the policies of the mid 1980s, and it is complicated by the 1971/1972 international commodity price boom, and a clear measurement error between 1976/7 and 1977/8 (for which I have adjusted). I’ll come back to the period shortly, but all the evidence points to the slowdown being from New Zealand adapting to the lower price of wool (it fell relative to import prices by 40 percent), remembering that not only did wool make up almost a third of exports in the early 1960s.

The resulting external diversification had largely worked its way through by the mid 1970s, and the economy went onto a higher per capita growth path of about 1.4 percent, until 1985, a growth rate not too different from the rest of the OECD. It’s an erratic path – befitting the governance of Muldoon.

As the graph shows, the seven good years were followed by seven lean years of stagnation to 1992 under the regimes which we know as Rogernomics and Ruthanasia. The downturn at its end was probably due to the fiscal measures of late 1990 and 1991 which contracted the economy.

The new upswing begins in 1992/3. Just how rapid it has been depends how much one adjusts for the Ruthanasia recession, but I reckon trend per capita growth rate has been about 2.2 percent p.a. There is a view, which I would not rule out, that the growth rate has been faster in recent years, although that is a bit dependent upon how one treats the Asian slump of 1998.

4. The Long Run: 1861-2003

The data on which this chart is based is available at “A Long Run GDP Series”

I have cobbled together the various GDP series, to give a 142 year run from March year 1861 to 2003, always using the better quality data. Chart 6, which uses a logarithmic or ratio scale, shows the stagnations in GDP per capita in the nineteenth century, and from the around 1908 to 1935, in the late 1940s to the early 1950s, and in the late 1980s and early 1990s. Noting a logarithmic scale graph, steeper means faster, we observe that there were rapid expansions in the 1890s and early 1900s, and the rapid growth from 1935 to 1945, plus a steady growth, with the odd hiccough from the 1950s to the early 1980s. In summary the last hundred years have seen an average growth of per capita GDP of about 1.6 percent p.a., a doubling of output per person every 44 years.

Chart 6 also shows a trend line based upon a fourth order polynomial. It recognises the nineteenth century stagnation, but sees a strong upward trend in the twentieth. However notice that the trend bends down late in the twentieth century. (For the record, the point of inflexion is 1938.) It may reflect the stagnation of the following years, an interpretation supported by that GDP levels have been above trend in the past few years. Alternately it may indicate a slowing of the long run growth rate for New Zealand.

5. The Post-war Era

We obtain an insight into what happened by from Chart 7 of NZ GDP from 1954/5. (Note this is not a per capita measure. For more about the population see my In Stormy Seas.)

Chart 7 shows the path of New Zealand volume GDP from March year 1955, where it is indexed to 1000. Over this New Zealand GDP path is superimposed three OECD GDP paths. The first, on the left of the chart, is set so that OECD GDP at the same 1000 in the March 1955 year. (I mention this is for the entire 29 OECD countries, and so it is a little – but not significantly different – from my earlier work, which used the fewer countries which were OECD members at the time.) The middle path has the OECD GDP set at 820 in the March 1955 year, that is 18 percent lower than the first OECD path. The third path, on the right, has the OECD GDP set at 730 in the March 1955 year, or 11 percent lower than the middle path.

So the slowing down we saw in that long term trend was not continuous, but due to a couple of periods when shocks – which I discuss below – lowered the level of GDP relative to the OECD, rather like dropping a step or two on the ladder. Indeed in two thirds of the years – perhaps more – the New Zealand economy grew at much the same rate as the rest of the OECD.

Chart 7 suggests five stages in the development of the New Zealand post-war economy relative to the OECD, although the endpoints may not be precisely those chosen here.

1954/5 to 1966/7: Upswing

In the 1954/5 to 1966/7 period, New Zealand GDP grew at about the same rate as the OECD, perhaps fractionally less. (This may be due to measurement error.)

1966/7 to 1977/8: Stepdown

Then, in 1966 New Zealand suffered a shock which put it on a slower growth path for about ten years. The next section shows the earthquake was the collapse in the wool price at the end of 1966.

1977/8 to 1984/5: Upswing

In the following seven years, the economy broadly followed the OECD growth path again, but at a relative level that was 18 percent lower than the path of the 1950s and early 1960s. The shock of 1966 reduced New Zealand’s output by 18 percent in the long run relative to the rest of the OECD.

1984/5 to 1993/4: Stepdown

Then from 1985 New Zealand underwent another period of stagnation, through to 1993, losing 11 percent by relative to the rest of the OECD. I shall return to why this happen.

1993/4 – ? :Upswing

Since 1994 the economy has been growing at broadly the same rate as the rest of the OECD, with fluctuations around the trend (e.g. the dip from the Asian Crisis in 1998). It may be the economy has been above trend in recent years, although it may reflect different cycles between New Zealand and the rest of the OECD, as occurred in the opposite direction in 1998 or in the early 1990s.

The new growth path is 11 percent below the path of the late 1970s and early 1980s. It is fatuous to say, as no less than authority the OECD did recently, that the New Zealand reforms are paying off. It is true that we appear to have returned to a growth rate comparable with the rest of the OECD – perhaps marginally higher – but the reforms will not have ‘paid off’, until New Zealand is above the 1977/8-1984/5 track, and has made up for the deficit between.

6. The 1966 External Shock and After

Chart 8 shows Terms of Trade (the price of exports relative to the price of imports) since 1927 (when the official data series first became available). There is a relatively low level before 1950, a high period (which in In Stormy Seas is called ‘the plateau’ up to 1966 and then (except for the 1971-1972 commodity boom) a low period from 1967 to 1985, followed by some recovery though not to the plateau levels. An alternative interpretation, discussed in In Stormy Seas is from 1950 there was a trending down of the terms of trade. (I shall return to what happened after 1984 in a section below.)

In December 1966 the export price of wool fell about 40 percent. Except for a brief flurry during the 1971-1972 world commodity boom, it never recovered relative to import prices. Indeed the wool price terms of trade were to sink to levels comparable to the Great Depression, although fortunately those for dairy and meat did not, although they have trended down in the post-war era.

In 1966 wool made up over 30 percent of export revenue, so total export revenue suffered by about 12 percent. With sheep-meats making another fifth of export revenue, New Zealand’s single largest export sector, providing over half of exports, experienced a severe blow in its profitability, while capital and skills which had been sunk into the sector became devalued and even valueless.

The immediate effect was for the economy to contract with unemployment beginning to rise in 1968. There was in 1967 – as there was had been in the 1932 – a devaluation to share the burden of the commodity price downturn across the entire economy, rather than concentrating it in a leading sector. However this time the terms of trade downturn was permanent – whereas there had been some recovery by 1940. Fortunately New Zealand was better prepared this time. Instead of clinging to the weakened sector, as happened in the 1930s, the New Zealand economy in the 1970s went through an export diversification – into horticulture, forestry, fishing, mining, general manufactures, and tourism. The diversification was spectacular – one of the most impressive economic performance triumphs of post-war New Zealand. John Gould has shown New Zealand shifted from being an extremist economy among the OECD in 1965 measure in terms of export concentration by destination and product, to a middling one in the 1981. No other OECD economy compared.

Even so this devaluation of capital and skills in the sheep industry together with the learning-by-doing diversification, slowed down the economy. The analytic issue is how long would such a transition take. Adjustment was confused by the 1971-1972 world commodity boom, so the external transition was largely completed by 1977. When New Zealand recommenced upon its growth path it was at a level some 18 percent below the previous one.

(The account can be modified without serious loss, by discerning a half step between OECD=1000 and the OECD=820 trend lines. It could be argued that the economy had adjusted by 1971 and was further devastated by the 1974 terms of trade downswing. This is still an external shock theory, but in this version there are two shocks. Its weakness is how to account for an upward terms of trade shock in 1971. The 1972-1973 peak seems to me to have been ephemeral – like the 1949-1950 one. Moreover, focussing solely on the 1974 terms of trade collapse misses the post-1966 slowdown. On a historical note, I mention I first identified the 1966 climacteric in 1974, before one could attribute any slowdown to the events of that year.)

7. Explanations for the Slow New Zealand per capita GDP Growth

My methodological position is that one looks at all the explanations to a problem and assesses each’s significance. While this may not be a particular profound – although it is anchored in a Popperian view of science – it is relatively unusual in New Zealand economics, where the explanations typically lock onto some hypothesis, and completely ignore any others (and any unpalatable facts). Among the explanations I have investigated and given some credence too are:

Post-war Catchup

The countries which were devastated by the war grew faster than those were not in the 1950s. It hints that the human capital, the technology and the social organisation which remained after the wear are all more important than the physical capital which had been destroyed.

Measurement Errors

My investigation showed a small but systematic downward bias in our estimates of volume GDP growth, arising from the difficulties of measuring volume changes in the service sector. Statistics New Zealand thinks it has now largely eliminated this bias, but it will reduce volume growth up to the 1980s. We dont know how widespread this problem has been in other OECD economies, although some compensated for it.

Population Growth

It is well established that population growth slows down per capita GDP growth, probably because it reduces capital deepening. New Zealand’s population grew faster than the OECD’s in much of the post-war era, and this would have slightly depressed its GDP growth.

The Convergence Effect

It appears that high income OECD economies grow more slowly than low income ones, probably because it is easier to import new technologies than create them. That effect would have slowed down New Zealand’s relative economic in the early part of the post-war era, but it is now a bonus for the economy, providing it has good policies for technology importation.

Terms of Trade

Declining terms of trade, that is lower relative returns for exports, act as a brake on the economy by slowing the supply of imports. A terms of trade shock can be very destructive, but there was a general pastoral terms of trade decline throughout the post-war era, partly because of the rise of substitutes – synthetics for wool, white meats for red meats, margarine for butter – but also because of increased Northern Hemisphere protectionism of domestic pastoral product markets, and dumping of their subsidised surpluses into third markets.

All these effects seem to have slowed per capita New Zealand GDP growth in the post-war era to some extent. But none – except the terms of trade – explain the transition from the pre 1966 track to the post 1977 one, nor the magnitude of the difference between two resulting paths.

8. Non-Explanations for the Slow New Zealand per capita GDP Growth

There are some popular explanations which hardly conform to any known scientific methodology. Basically they say that a phenomenon X exists, and therefore that explains phenomenon Y. There is little attempt to provide a causal path, to measure the impact, or to compare the explanation – such as it is – with other explanations. Basically the accounts conform more to the methodologies of pre-scientific superstition, although out of politeness we might call it ‘ideology’.

Excessive Intervention

It has been popular to argue in the 1980s that the New Zealand economic mechanism had been too dependent upon centralist interventions, which slowed down the economic growth rate. The policy prescription was that a major economic liberalisation, shifting the mechanisms to more-market, would accelerate economic growth. The evidence of the 1990s is that it did not. But here we evaluate the theory from an early 1980s perspective.

There was no attempt to demonstrate the connectedness of the proposition, nor to measure it. In particular, was New Zealand was more intervened than the countries with which any comparison was (implicitly) being made? Additionally the account is ahistorical: it is not obvious interventions intensified in 1966, while the period of fastest growth – from 1935 to 1945 – was a time when the economic mechanism was highly interventionist, much more so than it was in the 1970s.

The Popperian methodology demands we try to strengthen such a flimsy argument. A better theory might argue that the interventionism up to 1966 was basically benign: it supported economic growth and may even have accelerated it (noting there had been a process of steady post war liberalisation: by the 1960s the economy was not as closely intervened as it had been during the war). This benevolence of intervention probably applied after 1966 as illustrated by the great external diversification of the 1970s,. However there were two changes which required an acceleration of that liberalisation. The first was that the centralisation of the intervention in the internal economy had to be replaced by a more decentralised one because the diversification made quality central decision-making increasingly difficult. The diversification had created a new political economy requiring a new economic mechanism. Additional to these changes in production was greater social diversity, arising from affluence and perhaps some other social changes (such as increasing tolerance towards diversity), whose different needs could not be met by a centralised economic mechanism. To finish the story off, the Muldoon era from 1975 slowed down the rate of liberalisation so was a backlog in 1984.

Like the cruder theory, this suffers from an inability to measure the consequences of various levels of intervention. There are two identifiable quantifiable caveats to this,. First, a better signalling price system may reduce wasted investment. Second, periods of growth are associated with long business cycles. It seems likely that a more flexible the economy is able to prolong the peak of a cycle by, say, another quarter, hence promoting long run growth. (Note, the impact of different interventions may be more on the distribution and composition of output – its quality – than the aggregate level of output.).

Size of the Economy

By OECD standards New Zealand is a small economy. Such smallness has been equated with slower growth. But the same problems apply here as apply to the market mechanism thesis: there is a lack of connectedness in the proposition, there is no measurement, it is ahistorical because it gives no explanation as to what happened around 1966 (New Zealand did not suddenly get smaller), and it suffers from the defect that New Zealand was smaller in the past and yet grew rapidly at a relatively high standard of living.

The ‘advantages of size thesis’ has been recently challenged by Alberto Alesina and Enrico Spoloare, who point out that smaller OECD economies have better performance records than larger ones. They think there may be economies of scale which favour large economies, but these can be more than offset by the advantages a smaller nation has in governance over a less diverse group of people. They also argue that smaller economies can obtain many of the advantages of size by international trade.

Distance

It is unquestionable that distance has greatly affected New Zealand’s development . But that does not mean that distance from major markets has slowed down the growth of the New Zealand economy. The previous non sequiturs apply: there has been no attempt to demonstrate the connectedness of the proposition, nor to measure it, it is ahistorical, because it gives no explanation as to what happened around 1966 (the rest of the world suddenly became more distant), and it suffers from the defect that New Zealand was more distant in the past and yet grew rapidly.

(Consider the continuing and remarkable reductions in the cost of distance in the post-war era. If distance has been was an inhibition, one would have thought that they ought to have speeded up New Zealand’s economic growth rate. Moreover it seems likely that the reductions promise opportunities for new industries. The argument that distance is the cause of poor growth is not only unscientific but it reeks of policy defeatism.)

9. Some Errors of Method

Before turning to analysing the second step-down, I want to list some faulty methods which sometime occur in the New Zealand economic growth debate.

Correlation is Not Causation

The tendency to connect unrelated facts which appear about the same time, without any analytic account of how they are connected, or empirical verification has already been mentioned. It is typically associated with the ignoring of facts which contradict the connection and alternative theories which might prove more robust.

Choose the Period Carefully

Statisticians must continually worry whether the conclusions are robust to the period chosen. This is particularly applies to the business cycle, since a trend can be changed by selecting the bottom of one cycle to the top of another. Another problem is the choice of a longer period. Beginning the analysis of post-war growth from 1970 misses the 1966 step-down.

Tautologies are Not Explanations

Much of the debate uses a mathematical formula as if it is a behavioural formula. For example there is the standard definition of Total Factor Productivity (TFP):

ΔTFP/TFP ≡ ΔY/Y – αΔL/L – (1-α)ΔK/K,

with a congruence sign (≡), rather than an equality sign (=), to remind that this is a definition.

In essence the equation says that TFP is the bit of growth of aggregate that cannot be explained by increases in labour and capital. As early as 1962, Tommy Balogh and Paul Streeten said TFP was the ‘coefficient of ignorance’, the part of growth that we cannot attribute to any measurable factors. Almost 50 years later we still have little empirical evidence as what determines TFP. We simply assign various things we suspect are relevant – such as technology, human capital, organisation. But advocating increasing TFP, without any behavioural theory, is merely arguing we should increase the coefficient of ignorance. (Many of the advocates are well placed to contribute to any increase.)

More popularly, the statistical summary ‘productivity’ is treated in a similar way. It does not actually tell us anything, and saying that the problem for New Zealand is we need greater productivity is a tautology even if it sounds impressive.

As a further example of an overused tautology, consider

Y ≡ (Y/A)(A/B)(B/C)….(W/X)X

One may be able to add behavioural content to the ratios in the brackets, but too often they remain ratios. Y is used in the example, to remind that the left hand variable is often aggregate GDP. Because it is difficult to provide accounts of aggregate variables, there is a tendency to lapse into tautologies when analysing them.

Relativities Not Rankings (See also appendix.) There is a return at its end to come back to here.

Thus far this paper has used the actual levels of New Zealand GDP, and implicitly – in Chart 7 – its relativity with the rest of the OECD. Much of the New Zealand discussion has been in terms of its ranking measured by GDP per capita among OECD countries.

(There are very real problems in using the PPP adjusted GDP figures. They are not very accurate, they dont project well back through time, and they suffer from an anomaly – which arises from inconsistencies in pricing between the exports and imports versus domestic production and consumption. They may not be measures of production at all, but more analogous to Real Gross Domestic Income. We proceed with caution.)

Anyone with a little mathematical skill would eschew working with rankings over relativities, since an ordinal measure is much harder to work with than a cardinal one. Moreover the cardinals are more information rich than ordinals, since the rankings can be derived from relativities but not vice versa.

However, whatever the mathematical distaste for using an inferior measure, rankings have misled researchers. Chart 8 shows both OECD relativities and rankings. Not only does the ranking pattern not closely follow the relativity, but for the first 15 years New Zealand hardly changed its ranking, although its relativity fell dramatically. The same applies to the last twenty years, when only Ireland passed New Zealand. Even so, New Zealand’s GDP per capita fell from the about the OECD average to just above 83 percent.

(The last time New Zealand was at the OECD average was in 1985, following a slight recovery in the previous half decade, but unrecorded in the rankings. Those who demand that we should aim to return to the top half would do well to remember that, for often they are associated with advocating the policies that dominated the post 1984 environment.)

A regrettable result from the focus on rankings has been the focus on the 1970s when New Zealand dropped nine placings, and ignore the problems of the post 1984 period. The earlier period is easily explained able in terms of the 1966 terms of trade crash. The later period is more complicated to explain.

Got to The Development of the New Zealand Economy: Part II

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APPENDIX I: Rankings and Relativities

The figures here based on Maddison with some interpolations for countries he does not report, using the official New Zealand series. The mean is based on 28 countries.

1950 (148 percent of OECD)
The following (OECD) economies (in probable rank order) already had a higher GDP per capita than New Zealand in the early 1950s.
United States
Switzerland
Luxembourg(?)
Canada,
So New Zealand was ranked fifth (although because the NZ series has not been adjusted for the secular measurement error, this ranking places New Zealand above Australia, rather than marginally below as occurs in In Stormy Seas p.27). New Zealand was then about 148 percent of the OECD average.

1951 to 1960 (148 to 131 percent of OECD)
No additional OECD country’s GDP per capita was above New Zealand by 1961. So New Zealand was still fifth, even though it had been growing more slowly that the OECD average and its relativity had fallen to about 131 percent of the average.

1961-1970 (131 to 111 percent of OECD)
Over the 1960s the following six OECD countries’ GDP per capita became higher than New Zealand’’s between 1961 and 1970, additional to the earlier four.
Denmark
Sweden
Australia
Netherlands
France
Iceland (?)
So now New Zealand was now eleventh, and its GDP per capita was about 111 percent of the OECD average.

1971-1980 (111 to 96 percent of OECD)
In the 1970s, the following eight OECD countries’ GDP per capita became higher than New Zealand’s between 1975 and 1980, additional to the earlier eleven.
Belgium
Germany (West & East combined)
Norway
Austria
United Kingdom
Japan
Italy
Finland
New Zealand was now nineteenth, and its GDP per capita was about 96 percent of the OECD average (although it would return to just above 100 percent (the mean) by 1984.

1997: TWENTIETH (86 percent of OECD)
In 1997 Ireland’s per capita GDP passed New Zealand’s. So New Zealand became twentieth, when its GDP per capita was about 86 percent of the OECD average. New Zealand was still ahead of
Spain (just)
Korea
Portugal
Greece
Poland
Czech Republic
Slovak Republic
Hungary
Turkey
Mexico

Return to Section of Rankings and Relativities

Go to The Development of the New Zealand Economy: Part II

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The Development Of the New Zealand Economy (ii)

Paper for the Ministry of Economic Development Seminar Series: 25 February, 2004.

Keywords: Growth & Innovation

This is a long paper, and is in two parts. This is the second part. Go to Part I. There is also a short version (of about a third the length).Despite its length of the long paper, many of the arguments have had to be abbreviated. Some guidance is given in the text of web references where there is greater detail. More material will be found in the Index of New Zealand’s Economic Performance. The foundation source is the book “In Stormy Seas”

“In Stormy Seas”Part II consists of

10.What Happened After 1984? Why the Great Post-War Stagnation?
11.The Importance of Thinking Sectorally
12.The Next Political Economy?
13.Conclusion

Appendix II Recent Developments in the Terms of Trade

Part I consists of

1. The Political Economy of New Zealand’s Economic Development
2. Changing Sectors
3. The Course of GDP
4. The Long Run: 1861-2003
5. The Post-war Era
6. The 1966 External Shock and After
7. Explanations for the Slow New Zealand per capita GDP Growth
8. Non-Explanations for the Slow New Zealand per capita GDP Growth
9. Some Errors of Method

Appendix I: Rankings and Relativities

(Got to Part I)

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10. What Happened After 1984? Why the Great Post-War Stagnation?

The charts (in Part I) show that GDP broadly stagnated from 1985 to 1993. There even appears to be a sequence of six years when GDP per capital fell one year after another. There is no obvious external shock in the mid 1980s of sufficient magnitude to explain all the stagnation. I looked at the third oil shock (in 1985 when the real price of oil fell, so that the New Zealand gas based major projects became less profitable) and the hike in real interest rates (as a result the change in monetary management of the US Federal Reserve under Paul Volkner in 1979). While both impacted unfavourably on the New Zealand economy, neither were large enough. (Appendix II updates my recent thinking.)

There is no obvious external shock in the mid 1980s of sufficient magnitude to explain all the stagnation. I looked at the third oil shock (in 1985 when the real price of oil fell, so that the New Zealand gas based major projects became less profitable) and the hike in real interest rates (as a result the change in monetary management of the US Federal Reserve under Paul Volkner in 1979). While both impacted unfavourably on the New Zealand economy, neither seems to have been sufficient to explain the stagnation.

There is evidence – say from the Quarterly Survey of Business Opinion – that the fiscal measures which the incoming National Government undertook in late 1990 converted an incipient business cycle expansion into a contraction, as businesses deferred investment plans and lower income household cut back spending. It can be argued that the Great Stagnation had finished by 1991, and the fiscal package prolonged it. (The long term gains were probably that fiscal control was regained, with a regular budget surplus after 1993, albeit at the expense of replacing the fiscal deficit with a social deficit. Any semblance of fiscal control having been lost during the disinflation of the 1980s.) A consequence of the resulting contraction was that the cyclical expansion of 1993 and 1994 was stronger than had it begun in 1991 (as suggested by the third upswing pattern in Chart 7) and also was out of synch with the OECD (which gave the impression of a stronger growth than is justified retrospectively).

There is a left wing view that the stagnation was due to the general liberalisation, but it offers no account of why liberalisation should generate stagnation, and really belongs to the A therefore B category of non-arguments. Australia went through a similar liberalisation, but it did not experience a stagnation.

A middle view is that poor policy sequencing lead to a financial liberalisation which distorted the economy, leading to a temporary economic boom, and then the crash of 1987 (which seems to have been the most severe of all the sharemarket crashes in the OECD). There is some merit to this argument, and I shall return to the question of poor macroeconomic policy shortly. But I do not see how the theory explains the length of the stagnation. (I have already the issue of whether there investment gains, the impact of the third oil shock on the major projects, and the hike in international real interest rates. These are dealt with in greater detail in my In Stormy Seas.)

The right wing view is as illogical as the left wing one, again claiming A therefore B. It argues there was going to be a severe contraction or even an economic crash in the 1980s and that the liberalisation may have been associated with the stagnation but it prevented a far more serious occurrence. Regrettably there is no evidence provided for this possible crash.

The one attempt to predict the medium term course of the economy in 1985 was by Bryan Philpott. His forecasts were regarded at the time as ‘outrageously pessimistic’, but by 1990, in Philpott’s words, it ‘was clear that they were all too realistic’. He also forecast on the basis of an alternative economic policy package, one whose exchange rate was more favourable to exporting. Whereas under the rogernomes the economy grew at 1.0 percent p.a., under the alternative package it would have grown 1.9 percent p.a. (I caution, however, that the alternative required a degree of wage restrain by unions which may have been impractical.) In conclusion the claim that the policies of the 1980s and 1990s made no contribution to the stagnation is contradicted by the one piece of analytic empirical evidence.

A stronger version of this argument, is that the economy had not adequately adjusted to the 1966 wool price crash by 1977, and was still adjusting in the 1980s, when there was still the need for the liberalisation package and for disinflation.

Rather than look for an external shock, we look for an internal shock which impacted on the external sector. Table 2, which compares New Zealand’s economic performance with other OECD countries over the 1985 to 1998 period, shows there was a problem in the external sector.

Table 2: Economic Performance: 1985-1998
percent p.a. unless otherwise stated. (average for period, unless otherwise stated)

  NZ Australia Ireland OECD
Private Consumption Deflator        
1985 17.3 6.7 5.0 6.9
1998 1.3 1.9 2.7 3.3
Average 4.6 4.1 2.6 5.5
GDP Deflator        
Average 4.5 3.9 2.7 5.4
Unemployment (% of Labour force)        
1986 4.0 8.1 16.8 7.1*
1998 8.2 8.1 8.9 6.5*
Average (1986-1998) 7.2 8.6 12.9 6.6
Employment Growth        
Average 0.8 1.9 2.2 1.2
GDP Volume Growth        
Average 1.7 3.1 6.0 2.7
Labour Productivity Growth        
Average 0.9 1.2 3.8 1.5
Export Price Change        
Average 1.4 0.2 0.5 1.0
Import Price Change        
Average 0.5 2.3 0.7 0.5
Terms of Trade Change        
Average 0.9 -2.1 -0.3 0.5
Export Volume Growth        
Average 3.9 7.1 11.7 6.9
Import Volume Growth        
Average 5.3 6.6 9.8 7.2
Current Account Deficit        
Average (% GDP) 3.7 4.8 -0.8 0.2

OECD Economic Outlook (December 1998). The New Zealand figures do not always correspond to the official figures, but are used here for consistency, The OECD consists of 28 economies. *G7 for unemployment.

The picture is that New Zealand had the inferior economic performance, compared to the rest: poor GDP growth, poor productivity growth, high unemployment growth, despite the most favourable terms of trade boost. The one success was the dramatic reduction in inflation. Most of all, New Zealand had a poor export performance – worse than its import growth.

The import growth is not surprising, given that border and internal protection had been reduced, although without the import substitution of the ‘Think Big’ major projects it would have been even higher. Similarly reason the poor growth of the export sector is better than one might expect because it is boosted by some Think Big exports, and by the horticultural and forestry exports from plantings before 1985.

Table 3 with the available data for the 1978 to 1985 period shows that the whole New Zealand economic performance was much better during the Great Stagnation, except for inflation. In particular export growth was higher: more comparable to the rest of the OECD.

Table 3: Economic Performance: 1978-1985
percent p.a. unless otherwise stated. (average for period, unless otherwise stated)

  NZ Australia Ireland OECD
Private Consumption Deflator        
Average 13.2 9.0 13.3 7.4
GDP Deflator        
Average 12.5 9.2 12.2 7.2
Employment Growth        
Average 1.1 1.5 -0.4 0.8
GDP Volume Growth        
Average 3.0 3.2 2.7 2.4
Labour Productivity Growth        
Average 1.9 1.7 2.3 1.6
Export Volume Growth        
Average 5.2 5.4 9.57 5.1
Import Volume Growth        
Average 5.3 5.4 3.7 4.2
Current Account Deficit        
Average (% GDP) 5.8 4.0 8.4 0.5

OECD Economic Outlook (June 1993). The New Zealand figures do not always correspond to the official figures, but are used here for consistency, The OECD consists of 24 economies.

Why did exporting do so badly in the late 1980s and early 1990s? One might have expected the liberalisation to have resulted in higher – not lower – growth. However crucial to any sector’s performance is its profitability. A good proxy for export profitability is the real exchange rate – or rather its inverse. The higher the exchange rate the lower the profitability of the export sector.

There is no agreed measure of the real exchange rate in New Zealand, so this paper uses a simple – although not perfect one. the ratio of the GDP deflator to the geometric average of export and import prices. (In this case the deflator applies only to domestic products, having had exports removed, and is measured at factor costs, so indirect taxes and subsidies are also omitted.) Note that the measure does not adjust for the border protection which comes from import quotas and other non-tariff interventions, nor export subsidies like the EPTI and SMP. To include them would strengthen the story I am about to tell.

(However this real exchange rate it is not as imperfect as that used by the Reserve Bank of New Zealand which uses consumer price indexes. That means they exclude export and investment prices, but they do include consumer imports prices. Now the whole point of a real exchange rate is to assess the relativity between domestic producer prices and external producer prices, so including the latter with the former is not as rigorous as one might hope. I have used other measures of the real exchange rate and the story I am telling is robust to the broad choice.)


Chart 9 shows a leap in the real exchange rate in the late 1980s. Why did this happen? The short answer is that, unlike many of the East-Central European liberalisations, the New Zealand government had no view on what the exchange rate should be and thought the market would set the appropriate rate. It did not appreciate that its macroeconomic stance tended to push the real exchange rate up. The government was running a large budget deficit in the 1980s, which meant that the economy had to suck in overseas savings, and that tends to push up the exchange rate. An even great influence may have been the disinflation. The Reserve Bank targeted the Consumer Price Index, which being a measure of expenditure rather than production, has a large import – and therefore exchange rate – component. The easy way to depress the CPI was to hike the exchange rate. The Reserve Bank will deny that was the intention of their monetary policy, but that certainly its effect.

A high – ‘overvalued’ – exchange rate means that the profitability of exporting and import substituting was compromised. This has two effects. First, some parts of the tradeable sector contract and close down. This is most evident in the import substituting industries. Second, other parts of the tradeable sector would cease to expand: the mechanism is that the fall in profitability means there are fewer attractive investment opportunities, while sales are not generating the cash flow to fund the investment. Of course this slowdown would phase in. The medium term outcome would be that the tradeable sector would slow down, as we saw for exports in Table 2, and the non-tradeable sector, would slow down too, because in a small economy as a general rule the tradeable sector drags the non-tradeable sector along with it.


This is evident in Chart 11, based on the work of Bryan Philpott. He divided aggregated the subsectors of the economy into the three sectors, exportables which largely exported as well as supplied domestically, importables which are largely import substitutors supplying the domestic market, but also export a little, and the non-tradeable sector which neither exports nor competes directly against importers for the local market. Philpott’s data can be presented in many ways. Chart 11 shows the volume outputs for the three his sectors. (I have not included the mining and quarrying and the chemicals , petroleum and rubber sectors from the tradeables. I wanted to eliminate the effect of the hydrocarbon based industries – and remind myself of the importance of sector disaggregation. In fact the adjustment makes little change to the general patterns.

The most spectacular pattern is for the importable sector. Up to 1985 it grew faster than the other two, although close inspection shows this was in part to jumps in 1969/71, 1981/2 and 1984/5 mainly due to increases in output from New Zealand Steel. (Without those jumps the importable sector – that is without steel or hydrocarbon processing – was stagnant from 1975.) In 1985, the sector goes through a seven year contraction (reducing volume output by almost a third), before beginning to expand again from 1992. This is not an unexpected pattern, because this is a period in which border protection was stripped out which together with the high real exchange rate exposed the industry to the imports, and led to widespread closure. Indeed the rump of Philpott’s importable industry may be those businesses which are strictly in the non-tradeable sector (such as local job printing) or have become exporters. (Shortly before he died Bryan remarked to me that there was very little import substituting left.)

The theory was that as the importable sector contracted, the exportable sector would take up the released resources, and so it would expand to offset the additional foreign exchange that the imports which replaced the import substitutors needs. It is clear from Chart 11 and Table 4, that did not happen. Instead the exportable sector stagnated in the late 1980s and early 1990s. Moreover, notice that while it returned to a growth past, whereas previously it had grown faster than the non-tradeable sector it now was growing at roughly the same rate. So the totality of the tradeable sector was a period of stagnation and contraction followed by slower growth. Not surprisingly the non-tradeable sector and the economy as a whole slowed down too. Had the importable sector grown as fast as exportables it would have added 5 percent to the 1997/8 GDP, more given that it would have also generated activity in the non-tradeable sector.

Table 4: Sectors before and after 1984/5

Measure Sector 1959/60
-1984/5
1984/5
-1997/8
Difference
  Importables 5.0 -0.9 -5.9
  Non-Tradeables 2.6 2.2 -0.4
FT Employment Exportables 1.0 -0.1 -1.1
  Importables 1.6 -2.1 -3.7
  Non-Tradeables 2.0 1.7 -0.3
Volume Capital Exportables 1.0 -0.1 -1.1
  Importables 2.3 -0.5 2.8
  Non-Tradeables 2.3 2.3 0.0
Labour Productivity Exportables 2.8 2.7 -0.1
  Importables 3.4 -0.4 -3.8
  Non-Tradeables 0.6 -0.1 -0.7
Total Factor Productiivty Exportables 2.7 2.7 0.0
  Importables 3.2 1.5 -1.7
  Non-Tradeables 0.5 0.3 -0.2

Note that the tradeable sectors exclude the hydrocarbon based subsectors.

In summary, despite a terms of trade recovery, very little went right after 1984/5. Output growth deteriorated, employment growth deteriorated, but still labour productivity growth deteriorated, although the exportable sector, but no other, by becoming less capital intensive was able to maintain its TFP growth (which, recall, is an arithmetical measure of the coefficient of ignorance).

All this could be used to argue that there was a natural growth slowdown (as hinted by the polynomial trend in Chart 6). However the rise in the real exchange rate offers a more comprehensive story.

A deterioration in the real exchange rate (or the terms of trade) leads to a reduction in the profitability of those exporting and importing. Initially there is a sectoral growth slowdown, stagnation or contraction, eliminating all the activities which are unprofitable below the new profitability rate (but were profitable at the old one). Eventually, the residual tradeable sector adjusts to the high real exchange rate, at which point it begins expanding again, apparently at roughly the same rate as had occurred before the exchange rate hike, and the profitability depression.

In summary step-up in the level of the real exchange rate will lead to step-down in the level of GDP with a lag, a transition path of a period of slow GDP growth or even stagnation.

That is the story after 1985. evident in chart 10. It supports the theory that the liberalisation which took place after 1984 did not necessarily lead to the stagnation, but the associated poor quality macroeconomic management of the period did. Underlying it is a similar economic mechanism as to what happened after 1966. A deterioration in the profitability of the external sector, leads to an economy-wide growth slowdown, stagnation or contraction, and eventually an resumption of the growth path but at a lower relative level. The same story broadly applies to the Great Depression, although the subsequent growth path was faster, probably because the economy as catching up from the depressed conditions of the 1920s too.

11. The Importance of Thinking Sectorally

See also The Sectoral Approach to Economic Growth.

Tractatus Developmentalis Economica offers a borader policy context.

There are many lessons in this paper. Here it focuses on the importance of thinking sectorally. To explain both the step-downs – the periods of slow growth and stagnation between periods of OECD-normal growth – we had to go inside aggregate GDP and observe individual sectors. We could have gone to even lower levels of disaggregation, had there been time.

Suppose we wanted to think about the possibility of an annual GDP growth rate of 4 percent p.a. Those trapped in the aggregate GDP paradigm would write down a mathematical tautology, perhaps leading to a level of TFP growth that had to be obtained, and would then hypothesis how the coefficient of ignorance might be increased. In contrast, a sectorally focussed approach recognises that different sectors grow at different rates. Let me group sectors into four.

The first sector category, perhaps called the tens, are those which are likely to grow at 10 percent per annum or more in volume terms. Typically these are very dynamic industries perhaps responding to a new technology or fashion. The government identified some ‘tens’ in its Growth and Innovation Strategy: biotechnology, creative industries, and export ICT (although each has a cross-sectoral growth enhancing role as well). However ‘tens’ are small industries. As their rapid growth makes them larger they tend to slow down to join the second category.

The second sector category, to be called the sevens, are those which grow faster than the economy as a whole – say around seven percent p.a. Examples of a ‘seven’ are the agribusiness and wood processing industries. Because they are big enough and fast enough to drag the rest of the economy along with them they are the key sectors in economic growth. (‘Little tens’ mature into ‘big sevens’. Very often a ‘ten’ is a sub-sector of a ‘seven’.)

The third sector category, to be called the fours, are those which grow about the same rate as the economy as a whole. Examples are wholesale and retail trade. They are not unimportant and can be quite dynamic. But they are not economic drivers.

In the final sector category, to be called the ones, are those which grow markedly below average. Not all sectors can grow above average. ‘One’ industries often still have productivity growth with their demand stagnation. How do we shift their underutilised resources into the ‘sevens’?.

What are the characteristics of ‘sevens’? A possibility unavailable to the New Zealand economy is the ‘bootstrapping seven’, a domestically oriented sector which can drag the entire economy along with it. Bootstrappers may exist in large economy like the United States, but rapid domestic growth in New Zealand spills out into imports. It might seem something like the ICT sector is a bootstrapper, but its growth is largely at the expense of the ‘ones’ which it is displacing. The same applies to the business and finance sector. A domestic investment boom – such as putting in ICT cables – may give the economy a temporary fillip, but that reverses when the construction phase runs out and the use and repayment phase begins.

Import substitution might seem to be a bootstrapper but, like exporting, it is displacing overseas producers. For the most common ‘seven’, is a tradable industry – in today’s circumstances an exporter – competing here or overseas with foreign suppliers. Tables 2 and 3 have already shown that in the postwar era, OECD exports and imports grew faster than output. there is a second reason why a small economy like New Zealand is likely to have ‘sevens’ in the export sector. As a general rule, New Zealand is only a small exporter relative to market size (there are some agribusiness exceptions, and the statement is not true if the only export market is Australia) so it can expand its share of the market without severely disrupting competitors. Thus its export sectors can grow faster than the domestic sector and, in doing so, drag the rest of the economy onto a faster growth path.

Tradeable sevens seems to be the only broad growth and development strategy available to New Zealand. That is the lesson of the ‘step-downs’ of the post-war era, for on both occasions the poor economic performance was associated with a poorly functioning exportable sector. While the first occasion – from 1966 into the 1970s – was through an event over which New Zealand had little control, the second step-down has all the hallmarks of our own fault, when we ignored that the key requirement for successful growth, an industry is that it has to be profitable.

12. The Next Political Economy?

To finish with a little speculation about the future New Zealand political economy. While it has transformed from one dominated in the first two-thirds of the twentieth century by the pastoral sector into a more diversified one, there is still an underpinning resource base for most of the major industries: tourism, dairy products, meat products, forestry, horticulture, fish products, wool minerals and energy. It is broadly a food, fuels fibre, and ‘fisitors’ tectonic plate.

If I have understood the Growth and Innovation Strategy aright, the government – without abandoning the resource based industries – wants to accelerate the roles of human capital and creativity.

To understand how this fits into the international trading pattern – I am now no longer describing the government’s strategy but interpreting and extending it – recall that there exports grow faster than output. Now there is nothing inherent about exports that their income elasticity of demand should be substantially greater than unity (except perhaps because of novelty). What seems to be causing the rapid growth in changes in the patterns of the location of production.

Today, about a quarter of the world’s trade is in oil, a quarter in primary products, and a quarter in general manufactures which are traded according to the rules of comparative advantage. The final quarter of world trade involves intra-industry trades, which occur when the two countries trade broadly the same goods or services – say the French buying Volkswagens and Germans buying Renaults. There was negligible intra-industry trade immediately after the war, so this is the fast rising part of international trade. That may be a major factor in the rising share of exports in production and imports in expenditure.

Intra-industry trade is governed by the rules of competitive advantage not comparative advantage. Its theory is a recent one. It is based upon products which are similar but can be differentiated by the market – Renaults and Volkswagens, it involves economies of scale in production and other advanced technologies, and it is driven by the falling costs of distance.

New Zealand has probably the poorest intra-industry trade record in the rich OECD. An issue is whether New Zealand can get into intra-industry trade – exporting pharmaceuticals to Europe, software to the US, films to Hollywood, while, of course, also importing pharmaceuticals from Europe, software from the US, films from Hollywood. A way of interpreting the ‘innovation’ part of the Growth and Innovation Strategy is it aims to create industries involved in intra-industry trade which are small tens, and grow them strongly enough to become the big sevens. This upwelling of a new political economy tectonic plate need not subduct the diversified resource plate. There may be synergies between them – to mix metaphors.

Whether we are economic theorists or practical policymakers we are feeling our way about the significance of competitive advantage and intra-industry trade. Much of my research program over the next few years is trying to understand it. So I conclude with the more fundamental messages with which has pervaded this paper.

13. Conclusion

Even narrow economists should not think about the growth process solely at the aggregate level. One has to think about it sectorally, including about what is happening to product prices and factor prices (including profitability).

More fundamentally, economic development is different from economic growth. It is not simply about increases in aggregate output. but about the changes in the mix of sectoral outputs, the products consumed, the production technologies used, the way the economy and society is organised, and the way people live.

Got to Part I

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APPENDIX II: Recent Developments in the Terms of Trade

(Chart 8 is reproduced here to save returning to Part I.)

Preparing this paper, I extended the Commodity Terms of Trade (TOT) graph of In Stormy Seas (Figure 5.1, page 76) a further eight years in Chart 8. I am now inclined to see a lift in the terms of trade from the late 1980s. There may be even an upward trend from then. At this stage it is speculation as to why this has happened – noting the composition of exports and, to a lesser extent, imports has changed greatly over the years. Among the reasons for the TOT recovery which occur to me are

– the third oil shock dropped the price of oil without depressing our pastoral export sales to oil producers;

– the world trade reforms may beginning to benefit agricultural prices (while the rationalisation of export support in New Zealand may have reduced its supply on the margin and raised pastoral prices);
– the commodification of manufacturing in East Asia may be pressing down prices to the benefit of resource producers; and

– the productivity gains in the ICT manufacturing industry from technological innovation has been reducing its product prices.

Whatever, the implications are that there was a TOT recovery during the latter part of the Great Stagnation and it has continued. Without it, the stagnation may have been even more prolonged. This may explain something I had noticed, but had not resolved. The 1966 TOT shock and the 1985 Real Exchange Rate shock appear to be roughly of similar magnitude, but the stepdown from by the latter appeared to be only about two thirds of the stepdown of the former, (11 percent of the GDP track vs 18 percent of the GDP track). But the TOT lift of the late 1980s might represent a stepup of, say, 9 percent of the GDP track, about half the magnitude of the 1966 stepdown. That suggests that without the TOT lift, the 1985 Real Exchange Rate shock had a similar impact to the 1966 shock.

Clearly I have more work to do.

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Recovery and Deficit: Where Is the Us Economy Going?

Listener: 21 February, 2004.

Keywords: Macroeconomics & Money;

Many New Zealanders assumed that when our economy stagnated in the late 1980s and early 1990s, the rest of the world stagnated, too. In fact, it boomed, and New Zealand’s per capita GDP fell from the OECD average to 15 percent below. Similarly, there has been a tendency to assume that there was no world recession in the first few years of the millennium, because New Zealand was hardly affected by it.

The millennium recession seems over, but the subsequent course of the international economy troubles economic observers. Probably, the Bush administration tax cuts, coupled with generous increases in government spending, were the main factor expanding the world economy. Yet the recovery has been more sluggish than usual, and it is only recently that commentators have been sure of the end of the recession. It remains a jobless recovery, and Bush may go into the presidential election at the end of the year with a smaller work- force than when he was elected.

Future voters may have more to worry about, for the enormous government deficit from the tax cuts and spending is generating rapidly rising government debt. Just about every sober commentator considers this course unsustainable, although there is less consensus as to what happens after.

George W Bush seems to be following Reaganomics –– you will recall his father described it as “voodoo” economics –– which also opened up the deficit and escalated debt. After Reagan and Bush Sr moved on, Clinton made deficit reduction his number one economic priority, because the debt path was unsustainable. Yet, addressing it was not without risks. As one of his economic advisers, Joseph Stiglitz, wrote in The Roaring Nineties:”[It] meant, of course, putting aside the social agenda that had motivated [Clinton] …… standard economics held that deficit reduction would slow down the recovery and increase employment. [We] were, of course, aware that reducing the deficit was traditionally thought to worsen the economy, and if that happened, the whole strategy could backfire: slower growth would lead to even larger deficits.”

Stiglitz says that these fears were not realised because of a “sequence of events that was neither expected beforehand nor fully understood as it unfolded”. Long-term interest rates fell sharply (by over a third), the value of bonds rose, and the banks, whose balance sheets were under pressure, were able to recapitalise and get back into the business of financing investment. Right policy for the wrong mechanisms.

So deficit management is considerably more complicated than what first-year textbooks tell. Even so, under all plausible assumptions, the indications are that Bush Jr has a fiscal deficit that is unsustainable. Even its defenders rely on it generating record economic growth, with no evidence that the concomitant productivity increases will occur.

How to explain the jobless (or low job) growth. My guess is that the wonky balance sheets that we associate with corporate failures such as Enron and Worldcom were more widespread (although the illegalities may not have been). So the cash that the deficit pumped into the economy was first used to improve corporate finances, rather than for investment. Additionally, imports grew faster than exports, so a lot of the jobs were generated offshore. Most of the rest of the world is expanding, too.

The US trade deficit opened because the American people could not supply the savings to fund the US Government deficit, and so it has fallen to others –– notably Japan and China –– to purchase the US Government bonds. There is an important difference here from New Zealand trying the same strategy. Foreigners are happy to buy US dollar denominated bonds (but not our ones).

Or at least they are at present. When they decide they have had enough may be the point at which the unsustainability of the US internal and external deficits become internationally evident. Already, foreign financial institutions are increasing their holdings of Euro-denominated assets. Although the world is a long way from using the Euro as the currency of choice, today it is an option.

The other worrying weakness of the US economy is the military spending, especially tied up in expensive operations in the Middle East. Although colonies and neo-colonies will benefit some of the interests in the imperial power, they are usually an overall drain on the economy. At some stage –– possibly this US election, more likely the next –– the Americans will revolt over the burden of Iraq. Again, we cannot be sure what happens after that.

Despite the rhetoric of the Bush administration, we may see a relative weakening of the US in the world economy. My preference is for a pluralistic world, not dominated by any single power. But that should arise by the strengthening of other nations, rather than by an absolute weakening of the US because it overextended itself.

The Econometrics Of Household Equivalence Scales

Paper to the Wellington Statistics Group (WSG), 11 February, 2004.

Keywords: Distributional Economics; Statistics;

Contents
1. Claudio Michelini
2. Household Equivalence Scales
3. Characterising Equivalence Scales
4. Available Scales
5. Which Scale Should We Use?
6. Which Scale Do We Use?
7. A Simple Econometric Procedure
8. The Michelini Scale
9. Conclusion

1. Claudio Michelini

I am grateful for the opportunity that this Wellington Statistics Group occasion gives to me honour Claudio Michelini, who died unexpectedly from a brain tumour just four years ago. I knew him professionally rather than socially, so there are others who could speak more knowledgeably of his personal qualities, but he was one of those wonderfully eccentric immigrants who have given this country so much character. Professionally I found him extremely competent and so recall with pleasure a number of lively sessions between him and myself and Suzie Ballantyne when he enthusiastically and cheerfully discussed the development of his work, the estimation of scientifically based equivalence scales based on the preference-consistent extended linear expenditure system.

Claudio, who came from Italy, had worked on the underlying theory as a part of his postgraduate work at the University of Bristol. But in those days the computing power was insufficient to cope with the non-linear estimation that (ironically) the linear theory required. He put the work aside but returned to it in the late 1990s, using the quasi-unit household data set provided by the Prince Albert Trust, which despite each observation being an average of three households (to guarantee respondents’ confidentiality), had been structured to maintain sufficient of the underlying empirical reality to enable the estimation of empirically based household equivalence scales.

What we did not know when he was visiting us in Wellington from Palmerston North, where he was a Senior Lecturer at Massey University, is that he was here to see a specialist about what proved to be a brain tumour. Alas it had advanced too far, and in March 2000 Claudio did not recover from the operation. At 59 he was in the prime of his life as a teacher, as a researcher and as a friend.

In many ways Claudio’s work was data intensive, computer intensive, and arcane and complex in its economic and estimation theory. My intention today is not just to go through this theory and estimation, but to show how it is also practically important, and that Claudio’s work is a major leap forward in the practice.

2. Household Equivalence Scales

If we want to make useful comparisons of the standard of living of different households, or to predict commonalities of their economic behaviour, the (disposable) income of a household has to be adjusted for the composition of the household, the numbers and ages of those who belong to it,. A simple adjustment might be to convert the income to a per capita basis, but that ignores the impact of household economies of scale and for the different characteristics of the inhabitants. It is not true that ‘two can live as cheaply as one’, but two living together are likely to spend less than if they live separately in order to attain the same standard of living. It also seems reasonable to postulate (and the research evidence supports) that different ages have different needs. Other relevant factors might be gender, employment status (for employed people may have outlays that the not-employed do not have, such as on transport to work), and marital status (since a couple may have expenditure savings relative to two singles living in the same house).

This suggests a more sophisticate adjustment to incomes than per capita. In practice the incomes are scaled back by a ‘household equivalence index’ so that instead of dividing the income of a household of two adults by 2.0 (to a per capita) basis, the divisor is, say, 1.8, the lower figure reflecting the notion that, in this case, a couple living together make a savings of, in this case, ten percent on their outlays to attain the same standard of living.

Do more sophisticated adjustments matter? There are a surprising number of statements in the New Zealand literature which claims that the choice of the equivalence scale is not important. They are based on eyeing scales and suggesting that the differences are not great. Table 1 is an example in which a scale based on Claudio’s work is compared with Jensen88, the standard scale usually used. The convention is to set the scale level for a couple at 1.00. The figures for a single person means the Michelini scale says a single person needs 57 percent of the income of a married couple to attain the same standard of living, while the Jensen scale says that 65 percent is needed.

Table 1. Comparison of Two Equivalence Scales

Household Type Michelini Jensen88
Single Person 0.57 0.65
Single Adult, one child 0.83 0.91
Couple 1.00 1.00
Couple, one child 1.22 1.21
Couple, two children 1.44 1.41
Couple, three children 1.65 1.58
Couple, four children 1.85 1.75
Three adults 1.38 1.29
Three adults, one child 1.59 1.47

The real test is not whether they look similar but whether they give similar outcomes. If we are adjusting the raw household income distribution (say, because we are interested in trends in inequality or poverty levels) we find the cumulative distributions are very steep in the ranges where we are interested, so quite small changes along the horizontal income axis (on which the equivalence scales operate) lead to much greater changes on the vertical axis, which gives the numbers of households involved.

Table 2: Percentage of People Below Given Equivalised Incomes By Equivalence Scale

Income Level:
Couple ($p.a.)
Michelini Jensen 88
12200 8.6 7.9
13200 10.6 9.7
14200 13.5 12.5
15200
(RCSS BDL)
17.3 16.6
16200 22.2 21.3
17200 27.2 26.7
18200 32.4 31.5

Small differences in income scales – at last to some people as they eye Table 1 – leads to greater changes in the numbers of peoples involved as we see from Table 2. The Michelini scale says that 17.3 percent of New Zealanders were below the Royal Commission Benefit Datum Line in 1997 whereas the Jensen scale says there 16.6 percent. That difference represents about 28,000 people. Notice too, that the bias is systematic. Jensen88 gives lower estimates of poverty than Michelini for all poverty lines.

In many ways the exact level of poverty is not so important as the composition of the poor, because who is poor determines who social policy targets. Table 3 presents estimates of the percentages of household types below the RCSS BDL by Equivalence Scale. The totals correspond to those in Table 2 for the $15200 line. (Note the two adult proportions are the same (8.3 percent) because the nominal values of the actual poverty line is the same for each.)

Table 3: Percentage of Household Type Below RCSS BDL By Equivalence Scale

Household Type Michelini Jensen88
Single Adult 7.0 12.2
Single Adult, 1 child 17.0 33.5
Single Adult, 2+ children 47.9 60.5
Two Adults 8.3 8.3
Two Adults, 1 child 15.9 15.6
Two Adults, 2 children 17.2 16.0
Two Adults, 3 children 24.7 21.8
Two Adults, 4+ children 34.6 26.8
Three adults 10.1 7.9
Three adults, children 27.7 23.9
Other household types 16.9 11.9
All children 20.8 20.1
All parents 19.2 17.9
Other adults 10.8 11.0
ALL 17.3 16.6

Compared to the Michelini scale, the Jensen88 scale identifies relativitly more small households as impoverished compared to large ones, and relativity more one parent households compared to two parent households. Thus it is less likely to identify children and their parents as poor. Thus the Jensen88 scale focuses us on the single elderly, solo parent families and small families compared to the Michelini scale. Even so, in the late 1990s children and their parents were the largest group in poverty, a result which is independent of the choice equivalence scale.

To give an indication of the fiscal significance, the payment structure to New Zealand superannuants follows the Jensen Scale, giving the single elderly 65 percent of the rate of the married couple. If the Michelini scale ratio had been used instead, the single rate would be only 57 percent of the couple rate – about $30 a week less. That cost difference to the government budget comes to around 5 percent of the outlay on New Zealand superannuation, perhaps a net fiscal cost of $225m a year.

My point is not that we should reduce the rate to the single elderly by $30 a week. One could equally argue that if the Michelini scale was the more accurate, the married rate should be increased by around $26 a week to each partner so that they had a material standard of living similar to the single elderly. The critical point is that the parameter matters, and deserves to be measured accurately, since the fiscal cost of error could be large.

(I would mention that my intuition is the Jensen scale is high. A way of thinking about it is that a couple in receipt of $100, each spend $35 on themselves and use $30 to purchase goods which they jointly consume at exactly the same level as if they were by themselves. That means that when one leaves or dies, the remaining partner spends $35+$30 = $65 to maintain the same material standard of living. $30 out of $100 seems a bit high. The comparable figure for the Michelini scale is $14 (where $43 + $14 = $57 and $57 +$43 = $100) , which seems more plausible.)

3. Characterising Equivalence Scales

Thus far I have illustrated that the choice of scale matters. But how to choose a scale? Here are some examples of those used in New Zealand. But first, a mathematical way of characterising scales.

They can be broadly characterised by two parameters (ignoring a scaling parameter which sets the two adult household at unity):

ES = (A+αC)^(ß)

Where
A = number of adults in household;
C = number of children in household;
α = the child adult equivalence parameter;
ß = the household economies of scale parameter;
and where

ES is the Household Equivalence Scale which divides household disposable income (which may involve a number of further adjustments) to obtain equivalent income.

If α = 1, and ß = 1, the equivalence scale is the per capita scale, although it is generally assumed both parameters are less than unity, that is children cost less than adults and there are household economies of scale.

4. Available Scales

A variety of scales have been used in New Zealand. Dismissing overseas generated ones – I’ll explain why shortly – here are the main New Zealand ones grouped by the method by which each is derived.

Mathematical Scales

Some equivalence scales are purely a priori mathematical, with no justification given for them other than some intuitive elegance.

Per Capita Scale
ES = (A+C), has already been mentioned.

The Square Root Scale
The square root scale is ES = (A+C)^(.5) is the square root of the number of people in the household. It has been used internationally by Atkinson et al (1995:19) in the Luxembourg Income Study and by Statistics New Zealand (1998). The square root scale, as with the PC scale, assumes that adult and children have the same needs, and has strong economies of scale.

Mathematical Judgement Scales.

In New Zealand the two main scales are due to John Jensen, in which he took the mathematical function used above, and put in parameters based upon his personal judgement of what was the relativity between a one and two adult household, and that between a two adult and a two adult and four child household. There appears to be no systematic empirical evidence for those judgements and
the 1978 parameters were changed in 1988, for no clear reason.

Jensen78
In 1978 John Jensen proposed ES = (A+.737C)^(.781).

Jensen88
In 1988 Jensen changed his mind and proposed instead ES = (A+.632C)^(.730).

The Jensen88 equivalence scale is the one used by the Ministry of Social Development and many poverty researchers, which is why I used it early to compare it with the Michelini scale. The change may seem minor, but it reduces the numbers to below the RCS-BDL poverty line from 20.3 percent of the population to 16.6 percent of the population, or by about 150,000 people. The cynic might observe that Jensen’s 1988 paper has done more to reduce poverty than any other single policy measure, with no impact whatsoever on the material state of the poor.

Expenditure Judgement Scales

A quite different approach but still requiring judgement, was to use a set of judged expenditures to calculate relative needs by households and so infer an expenditure scale.

Food Based Scales

The most primitive, still used in the US, is to calculate some assessment of the minimum cost of a healthy diet, by various household compositions. The procedure than multiplies by some integer to get a poverty line, but implicitly the costs of the baskets of food map to equivalence scales.

The method was rejected by the 1972 Royal Commission on Social Security, but it popped up again in 1989 when the Treasury employed a visiting American. Like many overseas experts, the visitor does not appear to look at the local literature, nor the international literature outside the US. Her results seem to have been used as a part of the benefit cuts of 1991.

I have, elsewhere, pointed out all sorts of bizarre features of her method. One obvious example will do. The average man requires more food than the average woman. If we take equivalence based food scales seriously, then the level for men will be higher than the level for women, with the consequence that a man requires more income than a woman to attain the same standard of living. This income would not be spent only on food, and the import would be that a man needs to spend more on clothes than a woman too.

Total Expenditure Based Scales

Instead of basing the equivalence scale only on food expenditure, it might be extended to cover all items. Two submissions to the 1972 Royal Commission used a Community Council of Greater New York estimate of the cost of maintaining individuals in households. Thirty years ago that was all that was available, other than scales based on mathematical elegance. I used the New York Scale in my early poverty studies, but I also repriced the scale using New Zealand prices of the time on the New York expenditure weights. The exercise taught me a number of lessons:

First it indicated there was a considerable element of judgement in the choice of commodities in the budgets. For instance, the New York scale provided for a working woman two nighties a year, but only one for a woman who stayed at home.

Second, the resulting New Zealand priced scale was quite different from the New York priced one, in part because housing was relatively cheaper (affecting the household economies of scale) as was health and education because of the public provision in New Zealand (affecting the relative cost of children). The lesson here is that scales from other countries were unlikely to be transferable. Moreover, changes in relative prices over time within a country may affect the equivalence scale. This may not be important in the case of inflation, but sometimes policy changes can be important, including the switch on housing assistance from subsidised rents to income supplements, increasing user charges in medicine, and rising tertiary students fees. Not only does this paper pay no attention to attempts to construct a New Zealand scale by drawing on overseas scales, but it warns that the domestic scales may have changed over time, in ways that judgmental scales cannot respond. .

Third, the application of the scales to the measurement of poverty resulted in very different outcomes, with the numbers below the poverty line considerably greater with the New York scale (because there were lower economies of scale from the higher cost of housing, and children were more expensive). That was my first indication that the household income distribution (and therefore the numbers in poverty) will be sensitive to the choice of scale.

These latter lessons – the non-transferability of foreign scales, the problems of major price changes, and the sensitivity of the household distribution to the choice of scale – have informed my subsequent work and critiques although they have hardly impinged on most of the other New Zealand work, some thirty years later.

Econometric Estimates

This led me to seek an econometric method to estimate a New Zealand equivalence scale. In 1980 I published a scale which, I confess with hindsight, proves to be only of antiquarian interest. I shall shortly describe a generalisation of the estimation method. (The data base was the Household Survey, whose income statistics were still inadequate at that time, and in any case I had to used was based upon group averages rather than unit records.)

Harry Smith at the Department of Statistics had another go in 1989. Even though he had access to unit records the results were also not very satisfactory.

A decade later, Claudio turned his mind to the task using quasi-unit records, both alone and with Srikanta Chatterjee. I shall shortly report his method, and also mention some work done subsequently by Suzie Ballantyne and myself. But before doing so, I want to raise the issue of validation of equivalence scales. How do we know which one to use?

5. Which Scale Should We Use?

In the last few paragraphs I have mentioned something like a dozen different equivalence scales. In a longer paper I have discussed how to decide which one to use. It is an important question in social research, and it is even more important in social policy, since – as we have seen – the choice of scale affects the choice of issues that the policy addresses, the cost of the policy, and in the incomes and welfare of those who are affected by the policy. I take it we want to avoid the delphic method of selection, even if we knew which oracle to choose.

It turns out that there appears to be no scientific method which identifies one scale as unquestionably superior to others. Underlying all of them is a series of assumptions – for even the econometrician has to chose the underlying economic theory and the equation form. In the longer paper I suggest the following research strategies:

1. Use All Scales and only come to a conclusion which seems robust to the choice of scale.

2. Try to Avoid Using Equivalence Scales.

3. Select a Scale on a Systematic Criterion such as :
(i) Sophistication of the estimating procedure.
(ii) Comparisons of parameters.
(iii) Judgements based on the impact on location of households in the income distribution. We might think of the scales all being attempts to get at a true scale. In that case one of the middle scales may be close to it.

On the basis of these three criteria, the Michelini scale seems to be the most convincing, although were it not delphic, Jensen78 would also have some attractions.

4. Allow the Econometrics to choose the Scale, which I shall shortly describe.

6. Which Scale Do We Use?

Given that the choice of scale is important, given that by the late 1980s we had the data base to use scientific/statistical criterion to select a scale, one might have expected that some effort would have been put into an econometric search to identify one. Recall that the social policy focus, the cost of social policy, and the material welfare of individuals all depend upon this choice.

However the policy process works in a mysterious ways. As I have reported it generally uses the Jensen88, there is no obvious merit in this scale, compared with the others I have looked at. (On the other hand, Jensen78 did come up by my selection criterion.)

This conclusion does not reflect upon John Jensen. What he did was sensible given the ignorance at the time. The point is that the social policy process – indeed even much of the research process – was unable to progress beyond his work.

7. A Simple Econometric Procedure

To begin with an intuitive idea of how an equivalence scale might be derived via econometrics, I describe the procedure that Suzie and I used. We were estimating a consumption function for a particular group of items (medical goods and services) using quasi-unit records. At a simple level the required equation was for each household i.

(1)…..Log (X(i)/EQ(i)) = α + ß Log (Y(i)/EQ(i)) + ξ(i)

Where
X was household expenditure on the group of items,
Y household disposable income and,
EQ the equivalence scale value for the household.

Suppose we are not sure what the value of EQ is. What we could do is estimate

(2)…..Log X(i) = α + ß Log Y(i) + (1-ß) Log EQ(i) + ξ(i)
or
(3)…..Log X(i) = α + ß Log Y(i )+ Σδ(j) H(ij) + ξ(i)

where H(ij) is a set of dummy variables which represents the housing composition which the equivalence scale is measuring. If the household is of composition j then H(ij) = 1, otherwise it is zero. (Setting α = 0 in order to maintain equation rank.) This means that

(4)…..Log EQ(i) = + δ(i)/(1-ß).

(Other than a scaling factor, settled by setting EQ to unity for a household of two adults.)

Since Equation (3) is linear in the unknowns, the unknown parameters of β and δ(ii) can be estimated, and hence so can the EQ(i) from Equation (4).

8. The Michelini Scale

This is a simplified version of what Michelini was doing. The difficulty with the above equation is that the aggregation of each expenditure component in the equation will not sum to a sensible aggregate function, together with it being unclear where Equation (1) comes from.

So Claudio used an Extended Linear Expenditure System which is derived from a particular utility function (Kelin Rubin), modified in order to incorporate scale effects in household consumption. There is not the time to derive the system here – Claudio would have enthusiastically done so – but I can report that around 25 equations later, he would come to a Quadratic Almost Ideal Demand System (QAID) based on a Pricing Scale. (PS-QAID) which he further expanded with Demand Shifters to a (EPS-QAID) system. The difficulty with the system is that it is non-linear in its unknown parameters, so the Maximum Likelihood Estimates involve non-linear estimation. Claudio once remarked to me that, even on the high speed computer he was using, the convergence of the estimation procedure could be very slow.

Claudio estimated half a dozen different forms of his equations (and also applied his work to Italy). It is an enormous corpus of results, and I can but report here the favoured equivalence scale.

Table 4: Michelini’s Estimates of Equivalence Scale
Numbers of Adults X Numbers of Children

Numbers of
of adults
0
Children
1
Children
2
Children
3
Children
4
Children
1 .573 n.a. n.a. n.a. n.a.
2 1.000 1.214 1.448 1.638 n.a.
3 n.a. n.a. n.a. n.a. n.a.
Numbers of
of adults
0
Children
1
Children
2
Children
3
Children
4
Children
1 .574 .826 1.060 1.281 1.494
2 1.000 1.224 1.439 1.646 1.846
3 1.384 1.592 1.795 1.991 2.183

There is another problem in his raw scale. Look at the row for two adult families. It says that if an adult couple need $100 for a particular standard of living, they need an extra $21.40 for their first child, an extra $23.40 for their second child and an extra $19.00 for their third child. Now in the order of things the second child should be no more expensive than the first, and less so, given the economies of scale. (Note this happens with the generalised scale: $22.40, $21.50, $20.70.)When I discussed this irregularity with Claudio we agreed it could be within the standard errors of the estimates. However because the non-linearity of the system we dont know what they are.

Claudio would have been intrigued by the results from the much less sophisticated estimates which Suzie and I derived. We found a very similar irregularity. Now this could be due to a mis-specification. (It is not obvious that the equivalence scale for an expenditure group should be the same as for income as a whole). Even so, two different data bases and estimation periods generated similar irregularities, which suggests the problem may be structural. Claudio and I discussed whether the effect arose from not allowing for children by age. It is not impossible two children families on average have children who are on average older than one child families. It is less obvious how that could be simply parameterised and estimated, given it would add to the non-linearities and hence the computing problems.

In any case Claudio is not here to progress his work.

9. Conclusion

Whether we like it or not we have to use equivalence scales on a wide range of research and policy issues. The issue of the choice of scale is not an insignificant one, particularly where it has a practical impact on the policy focus, on the fiscal costs of policy, and on the incomes of individuals. Given this importance – given that the issue has been around for over thirty years – it is extraordinary how little systematic effort has been made to get a good quality scale.

A notable exception to this lacuna, was Claudio Michelini who, when the data became available, used the enhanced computer power to estimate equivalence scales based on actual human behaviour rather than based on assumptions and introspection. He did it because he was passionate about the research problem, and was always slightly diffident when I talked about the relevance of his work to policy. Yet he has, in my judgement, produced the best available equivalence scale for New Zealand. But it was not the best possible scale, and Claudio looked forward to improving his last estimates. Unfortunately he never had a chance.

The danger is with Claudio gone, we will lapse back into the torpor of opinion. A better tribute to Claudio’s work would be to continue to progress it – and to incorporate it into social policy in an intelligent way.

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Public Policy and the Maori

The following is a transcript of an interview by Carol Archie for Mana News broadcast on “Radio New Zealand”, 6.25am Tuesday 10 February 2004. It has been lightly edited.(“Hansard” rules – for presentation, syntax, and sense – but not for content).

Keywords: Maori; Social Policy;

Presenter (Dale Husband): This morning our focus is economics and how the National Party’s new policy around Maori services stacks up in the world of finance. One economist, Brian Easton, disagrees with Don Brash’s contention that resources should be based purely on need and never targeted specifically for Maori as a race. Brian Easton told Carol Archie that targeting particular groups often makes good economic sense.

Brian Easton: The fact of the matter is that in public policy, on some occasions, in some places, the Maori gets benefits which the Non-Maori does not. But that is also true, in other places, of other groups: women get benefits that men don’t, sole parents get benefits that ordinary parents don’t, and so on. Throughout public policy we are continually discriminating between different social groups. So the only issue is, when we should.

Take solo mothers. We can all think of good reasons why we might want to have a Domestic Purposes Benefit for them. If we look at the Maori cases where we do discriminate, in almost every case I know of, one can think of a good reason why we should discriminate. In many other areas we dont. For instance, the Maori has exactly the same entitlement to, say, the unemployment benefit; the Maori has exactly the same entitlement to superannuation.

But in some areas, the health area is an obvious area, there is a difference. It is instructive that it tends to be in the public health area, that is not where we’re dealing with individual Maori, but where we are dealing with a group of Maori. So it makes sense, for instance, to have a programme which the Maori take into their own hands, the problem of Maori smoking. One of the good things that came out of that was the ban that many marae now have rules against smoking on the marae. Now there is no way that a Non-Maori could have got that outcome, but by empowering the Maori, they took it into their hands to deal with on-marae smoking.

So if you look at each individual policy you end up with a conclusion that ‘yes, usually it makes sense to have that difference between Maori and Non-Maori’. I dont think that Don Brash has really come to terms with that, although when he was the Governor of the Reserve Bank he said we will have a particular attempt to bring some Maori on in the Reserve Bank by giving them support. That sounds to me to be a perfectly sensible policy and he was not doing anything different from the general policy.

That is not to say that we cant tidy up some marginal problems but the general principle is that in this country, we do discriminate in favour of the young and the old and women and men and Maori and Pacific Islanders and so on and that makes good public policy sense. It would be very disappointing if we backed down on one particular case without recognising that in fact a very general phenomenon.

Reporter (Carol Archie): Can you give me examples of how the public might benefit from discrimination on behalf of Maori?

Easton: If we can get down Maori smoking then we’re going to get big gains in reducing demand for health care by Maori in their middle years. And that releases resources to be used for other groups of people, for the young, for the old and for the sick. In the health area, the biggest single gain is probably from reducing smoking, so it makes sense for us to spend money to get the Maori smoking down. It is of benefit to the Maori but it would benefit the whole health system.

Reporter: What about in the education area, for instance?

Easton: I think it terribly important to recognise that people are culturally significant. Rather than give a Maori example I give a gender one. I support a programme which increases the number of men teaching in primary schools. It is good for the kids. Not that their teacher has to be a man, but that during their primary school experience that children should have some men working with them, perhaps particularly if they are from solo mother families and they dont have a lot to do with men. So it is beneficial for boys and girls to have both male and female models at primary school. It also makes sense for them to have Maori and Non-Maori teachers at primary school and one can think of other examples. For instance it may be advantageous for them to work with handicapped people when they’re at primary school. So yes, it does make sense in a number of areas for us to consciously make sure that our teaching profession, or anything else, reflects our society as a whole and is not biased towards, in the case of primary schools, towards white women and it is not biased at the university end towards white men.

Reporter: If Maori were better educated, healthier and better off financially, would the rest of the population get the benefits too?

Easton: There would be benefits to the community as a whole because in so far as we can close the gap, say in incomes between Maori and Non-Maori through health and education and those sorts of policies, that will reduce their dependence on the benefit system. It means that they are paying more tax and they’re contributing more to society. But that is not a peculiarly Maori problem. Exactly the same applies to the Non-Maori, to a white kid from a difficult background. We need to put some effort in to him or her just as we should in the Maori. So again to come back to the Brash concern, these policies on the whole are not peculiarly Maori. It just happens to be that very often one of the best ways of targeting a group is to look at the Maori component.

Reporter: So is what Don Brash is suggesting good economics?

Easton: It depends on your political perspective. If you think the main aim in public life is to reduce taxes on the rich and to reduce spending on the poor there is some logic in the Brash position. If you take the traditional New Zealand view that by spending money on the young and on the sick and on the poor we can enhance the general performance of the economy as a whole then, the Brash position, the National Party position, doesnt make that much sense. So it depends on your political values, and mine happen to be that we need to support the weak in society and society as a whole benefits from that support.

I am grateful for Ian Prior’s assistance with the transcript