How long does it take for GDP growth to be reflected in higher well-being?

In a paper written while he was at the World Bank, William Easterly found that changes in quality of life are surprisingly uneven as per capita income grows, despite the fact that a remarkable diversity of indicators shows quality of life across nations to be positively associated with per capita income. This finding might deserve to be called Easterly’s puzzle. (Bill Easterly is probably better known for his observation that foreign aid frequently fails to promote economic growth – but I don’t think that qualifies as a puzzle.)


One possible explanation, discussed briefly by Easterly, is that there may be ‘long and variable lags’ in the relationship between quality of life and economic growth. A related possibility, that is supported by some simple analysis I have undertaken for OECD countries, is that well-being is affected by wealth (reflected in quality of housing, financial assets, human capital, public infrastructure, social capital etc.) as well as current income. In this post I want to explore this possibility for a wider range of countries using the Legatum prosperity index. As noted in my last post, the Legatum prosperity index is highly correlated with the OECD’s well-being index.

To the extent that well-being is affected by wealth rather than current income, countries which have experienced rapid economic growth in recent decades could be expected to have lower well-being levels than those with similar income levels which have a longer history of relatively high per capita incomes. The following table provides results of regressions in which the Legatum prosperity index and various components of this index are explained by the log of per capita GDP in 1970, and the change in log per capita GDP from 1970 to 1990 and from 1990 to 2009. If the component of current income reflecting relatively recent growth has a similar coefficient to that reflecting income in 1970, it would be reasonable to conclude that capital stocks are not relevant to current well-being. (There are 92 observations in the regressions; 18 former Soviet block countries had to be omitted because of lack of lack of comparable per capita income data. Per capita GDP data is from Penn World Tables – the rgdpl measure.)

The results are consistent with the view that well-being is affected by wealth as well as current income. For the index as a whole, the estimated coefficient on the variable reflecting relatively recent growth is substantially lower than that on the variables reflecting past growth experience. The results for some components of the index also support that interpretation.

Economy: The estimated coefficient on relatively recent growth is actually higher than that on the variables reflecting previous growth experience. That result is to be expected because the economy variable is derived from a range of indicators of recent economic performance.

Entrepreneurship and opportunity: The low estimated coefficient on relatively recent growth is to be expected because an entrepreneurial culture takes time to develop. I usually think of causation running in the opposite direction – from an entrepreneurial culture to economic growth – but success often breeds success.

Governance: It may not appear to make a lot of sense to view low levels of corruption as a consequence of economic growth, rather than vice versa, but some of the indicators covered (e.g. political rights and regime stability) could reflect a build-up of institutional capital that has been fostered by economic success.

Education: As expected, the estimated coefficient on relatively recent growth is lower than on previous growth experience, reflecting the time it takes for improved education of young people to be reflected in the stock of human capital. Some of the indicators covered in the education variable reflect current enrolments rather than education levels of the population.

Health: Reasons for the low estimated coefficient on relatively recent growth would include investment required to improve sanitation and water quality, and the time required for training of health professionals.

Safety and security: As expected, countries with a long history of relatively high per capita incomes tend to have less violence. Low violence is conducive to economic activity and economic opportunities reduce the incentive to engage in criminal activities. The relatively low estimated coefficient on the recent growth variable suggests that economic growth has a greater positive impact on safety and security when it is sustained over a couple of decades.

Personal Freedom: Civil liberties, satisfaction with freedom and tolerant attitudes are strongly associated with a history of relatively high per capita incomes. The results do not shed much light on the effects of more recent growth experience.

Social Capital: Again, relevant indicators such as trust and perceptions of social support are associated with a history of relatively high per capita incomes, with greater ambiguity in respect of recent growth experience.

The regression results also indicate that the relevance of per capita income to explanation of the various components of the index varies considerably. Income history seems to be much more relevant to education and health outcomes than to personal freedom and social capital. Performance in relation to factors such as social capital helps to explain why some countries (e.g. New Zealand) have higher overall index scores while other countries (e.g. Greece) have lower overall index scores than would be predicted on the basis of income history.

Finally, to answer the original question, the results reported here suggest that it can take two or three decades for GDP growth to be fully reflected in higher well-being levels.

How close is the correlation between the Legatum 'prosperity' index and the OECD's 'better life' index?

The Legatum prosperity index provides an assessment of wealth and well-being in 110 countries. The authors suggest that it ‘produces rankings based upon the very foundations of prosperity’. (I am allergic to that kind of spin, but I am quoting the words here as penance for the unwarranted doubts I expressed on this blog in November 2009 about how much substance might lie behind this index. I eventually found the technical appendix I was looking for and satisfied myself that there is substance behind the ‘incredibly smooth’ presentation). The indicators incorporated in the study are factors that are known to be determinants of wealth and life satisfaction.


I have discussed the OECD’s better life index in several posts (most recently here).

There is some difference between the factors incorporated in the Legatum and OECD indexes. The factors included in the Legatum index are: economy, entrepreneurship and opportunity, governance, education, health, safety and security, personal freedom and social capital. The factors included in the OECD index are: housing, income, jobs, community, education, environment, governance, health, life satisfaction, safety and work-life balance.

The two indexes are highly correlated. The simple correlation coefficient relating the averages of the factors included in the two indexes for OECD countries (excluding Luxembourg) is 0.95. (The Legatum index is not available for Luxembourg.) The correlation between the Legatum index and my modified version of the OECD index is 0.97.

The similarity of the two indexes is also apparent when they are graphed against per capita GDP. The chart below showing the Legatum prosperity index can be compared to a similar chart showing the modified OECD well-being index in the preceding post.

New Zealand and Greece are outliers in both charts. The Legatum index has New Zealand ahead of Greece on all criteria, with the greatest difference in social capital, governance and entrepreneurship and opportunity. The OECD index has New Zealand substantially ahead in terms of community, jobs, life satisfaction and housing.

Although the OECD and Legatum indexes appear to be quite different, they tell a similar story about well-being in OECD countries. An important advantage of the Legatum index is that it is available for a much larger number of countries.

How closely is well-being related to per capita GDP?

The relationship between a composite well-being index and per capita GDP in OECD countries is shown in the chart below. The well-being index has been derived by modifying and combining OECD indicators as described in previous posts (here and here). As might be expected, the chart suggests that well-being is generally higher in countries with high per capita GDP. For most countries, including the United States and Australia, there is not much difference between the well-being index and the picture of well-being presented by per capita GDP. There are some countries, however, in which well-being seems to be higher than would be expected (most notably New Zealand) and some in which well-being seems to be lower than would be expected (e.g. Luxembourg, Greece and Korea). In this post I want to explore whether some of those apparent anomalies may be attributable to the past income history or the countries concerned.

Note to the chart: Per capita GDP data is from Penn World Tables (rgdpl). The per capita income data is presented in log form because previous studies have suggested that this is appropriate in considering the relationship between well-being and income (for example, Stevenson and Wolfers, 2008).

Why might past income matter for current well-being? Past income is relevant because well-being is affected by wealth as well as current income. Some components of wealth are incorporated in the well-being index (e.g. the quality of housing) and others e.g. public infrastructure could affect several well-being indicators. Wealth may also provide peace of mind to individuals as a cushion against loss of income - for example as a result of ill health or unemployment. A study by Bruce Headey and Mark Wooden has shown, using Australian data, that wealth is at least as important to subjective well-being as is income (IZA Discussion Paper 1032, Feb. 2004).

In order to assess the extent to which past incomes matter I have used regression analysis to explain the well-being index in terms of two components of current per capita incomes: per capita incomes in 1970 and the growth in per capita income from 1970 to 2009. If income history is irrelevant to current well-being the estimated coefficients on the two components of income would be expected to be similar. In fact, the estimated coefficient on per capita income in 1970 is much higher (more than 1.8 times) the estimated coefficient on the growth component. (The standard errors of the estimated coefficients are fairly low and the difference between them is statistically significant at the 95% level. The regression explains about 76% of the variation in the well-being index. Anyone who wants further information on the regression results is welcome to contact me.)

The regression results have been used to decompose the well-being index in order to prepare the following chart.

The story that a comparison of the two charts tells me is that a past history of relatively high incomes helps to explain why New Zealanders score relatively highly on the well-being index. A past history of relatively low incomes also helps explain why Korea has a relatively low well-being score. However, the size of the relevant residuals suggests that past history doesn’t help explain the disparity between well-being and per capita GDP levels for Luxembourg and Greece.

The general picture that emerges is that the well-being index and per capita GDP generally convey similar information about relative well-being levels in OECD countries. In some of the countries where this is not so, the disparity can be attributed largely to income history. There do not appear to be any OECD countries with high levels of well-being that do not have either high current per capita GDP levels or a history of relatively high per capita GDP levels about 40 years ago. This suggests to me that over the longer term there can be no escaping the links between wealth creation and progress in improvement of well-being.

Perhaps we seek wealth to enjoy autonomy?

‘The question was whether it is more important to provide individuals with money or with autonomy. Our results suggest that providing individuals in nations with autonomy has overall a larger and more consistent effect on well-being than money. Money leads to autonomy (Welzel et al., 2003; Welzel & Inglehart, 2010), but it does not add to well-being or happiness.’

That is from the concluding paragraph of an article by Ronald Fischer and Diana Boer, ‘What is more important for national well-being: Money or autonomy?’, recently published in the Journal of Personality and Social Psychology.

The question of whether it is more important to provide individuals with money or autonomy strikes me as odd. Who has the power to choose whether individuals should be provided with money or autonomy? Governments don’t normally have that power.

I suppose it is possible to imagine a powerful paternalistic ruler contemplating whether to give his serfs a monetary bonus or to give them autonomy. It is clear from their article that when the authors refer to autonomy they are talking about a situation where individuals ‘can make their own choices in life’ rather than, for example, just choose what hobbies to pursue in their spare time. If our paternalistic ruler is contemplating giving his serfs the power to make their own choices in life, what he has in mind must involve economic freedom and opportunities for wealth creation.

When individuals have the opportunity to do so, they tend to use their own labour, skills and property for purposes that they value. Those purposes include cooperating with others for mutual advantage e.g. through specialization and exchange, and developing better products and more efficient technologies. Recognition of individual autonomy thus underpins the specialization, exchange and innovation that are integral to wealth creation.

The quoted passage refers to an article by Welzel and Inglehart in support of the proposition that ‘money leads to autonomy’. As discussed in my last post, one of the points made in that article is that in countries with higher levels of economic development (i.e. countries with higher self-expression values) people tend to achieve higher life satisfaction to a greater extent through activities that enhance autonomy (feelings of agency). Economic freedom leads to wealth and wealth leads to greater enjoyment of autonomy through pursuit of objectives further up the hierarchy of needs than survival and financial security.

The finding by Fischer and Boer that ‘money does not add to well-being’ doesn’t actually mean that income or wealth makes no contribution to well-being. It seems to me that what the finding means is that the contribution of income to well-being is encompassed in the contribution of income to individualism (self-expression values).

The authors’ research involved constructing indexes to compare negative psychological well-being, anxiety and burnout in different countries by combining the results of a large number of studies throughout the world. Statistical analysis was then undertaken to determine the extent to which these indexes could be explained by income levels or an indicator of individualism. When income and individualism were included separately in some of the analyses both of these variables were statistically significant, but when they were included together income became statistically insignificant. This suggests that the effects of income on well-being tend to be incorporated in the individualism (self-expression) variable.

I doubt whether that result would surprise many economists. First, it is well known that as incomes rise people tend to place a higher value on leisure (the income elasticity of demand for leisure is positive). Second as leisure increases, an increasing proportion of income tends to be spent on goods that are complementary to leisure (e.g. holiday packages). Third, goods that account for an increasing proportion of spending (goods with high income elasticity of demand) tend to be more strongly related to individual self-expression than to survival. Finally, increased wealth is valued for the options it provides as well as for the goods that are purchased with it. There are precautionary motives for accumulation of wealth e.g. as insurance against unemployment or ill health. People also value the option to be able to take advantage of opportunities (e.g. the holiday adventure of a lifetime) that may arise in future.

As I see it, the greater happiness of people in high-income countries can probably be attributed to greater satisfaction of fundamental human needs related to autonomy, relatedness and competence in those countries. When individual agency has been recognized, people have tended to use their autonomy for good purposes, establish better relations with others, become more competent and create wealth. The wealth is important only to the extent that it helps individuals to pursue purposes that they value – and to enjoy autonomy, good relations with others and a sense of achievement.