How difficult would it be for individuals to adjust to zero economic growth?

 

It would not be difficult for governments to achieve zero economic growth. They would just need to do more of the things that they are doing at present to slow down the adoption of new technology, create policy uncertainty, protect inefficient firms and industries from competition, and reduce the incentives for people to work. I could make a more detailed list of policies they could adopt, but I am not in the business of advising politicians about how to achieve zero growth.

Those who argue for lower economic growth don’t talk much about adverse psychological impacts that people might experience as a consequence. They seem to assume that if economic growth was stopped, average life satisfaction would stay where it is now. The basis for that assumption is that in high-income countries, further increases in income offer negligible benefits in terms of increased life satisfaction. That is consistent with the views of Richard Easterlin, who was made famous by his pathbreaking research on the relationship between economic growth and indicators of subjective well-being. Easterlin argues:

“At a point in time, happiness varies directly with income both among and within nations, but over time the long term growth rates of happiness and income are not significantly related.”

That passage is quoted in an article by Michael Plant which provides quite a strong defense of Easterlin’s position.

In my view, Easterlin is broadly correct. As incomes rise, additional economic growth can be expected to make a progressively smaller contribution to psychological well-being (as commonly measured by average life satisfaction ratings). Nevertheless, people may have good reasons to seek to have higher incomes. As I discussed in Chapter 1 of Freedom, Progress, and Human Flourishing, psychological well-being is only one of the goods of a flourishing human.

However, the main point I propose to make in this essay is that adoption of policies to achieve zero economic growth would be likely to pose substantial psychic costs (psychological adjustment costs) for many people as they are forced to revise their expectations downwards. I begin the essay by discussing international data on the perceptions that people have about their standard of living relative to their parents and then link that data to average life satisfaction.

1.        Are perceptions of standard of living relative to parents related to economic growth?

In the latest round of the World Values Survey (WVS 2017-22) respondents were asked the following question about their standard of living: “Comparing your standard of living with your parents’ standard of living when they were about your age, would you say that you are better off, worse off or about the same?” (I downloaded that data for as many countries as possible using the WVS’s excellent facility for online analysis.)

Matching the WVS data with World Bank data on per capita income (NY.GDP.PCAP.PP.KD) and rate of growth in per capita income (NY.GDP.PCAP.KD.ZG) left me with a data set covering 63 countries. I used income data for 2002, and growth data for the period from 2002 to 2022. The reasoning behind that was to separate the growth experience prior to 2002 (reflected in income levels for 2002) from subsequent growth experience.

(It would have been nice to be able to conduct this analysis using a larger data set, but beggars can’t be choosers. I hope that one day someone will attempt to replicate and extend the study using a data set for a larger number of countries.)

Countries were allocated to four groups of approximately equal size:

• Low-income, low growth e.g. Pakistan, Kenya
• Low-income, high growth e.g. China, Indonesia, India
• High-income, low growth e.g. U.S.A., Germany, Australia
• High-income, high growth e.g. South Korea, Singapore.

The average percentage of those who consider themselves to be better off than their parents at a comparable age is shown in Figure 1a. As might be expected, a higher percentage of people are in the “better off” category in the high-income and high growth countries.

Figure 1b shows that the percentages in the “worse off” category are lowest in the high income and high growth countries.

Figure 1c shows that the percentage who are “about the same” is higher in the low growth countries than in the high growth countries.

Overall, this analysis suggests that perceptions of standard of living relative to parents are positively related to past economic growth experience of the countries in which people live. Historical growth experience, reflected in per capita income levels in 2002, and more recent growth experience over the last 20 years are both relevant.

2.        Do perceptions of standard of living relative to parents differ according to the age of respondents?

As might be expected, Figure 2a shows that in the high income, low growth countries older people are less adversely affected by low growth than are young people. The fact that more than half of respondents aged 50+ still perceive their standard of living to be better than that of their parents, presumably reflects the benefits of higher economic growth rates earlier in their working lives.

The picture presented in Figure 2b is consistent with that in Figure 2a.

Figure 2c indicates that there is not much difference between age groups among respondents who perceive that their standard of living is about the same as that of their parents.

Overall, perceptions of standard of living relative to parents do differ somewhat according to the age of respondents. In particular, in the high-income countries, low growth has a greater adverse impact on young people than on old people.

3.        Are life satisfaction ratings influenced by perceptions of standard of living relative to parents?

Figure 3 shows average life satisfaction ratings for each of the four categories of countries and each of the three categories of responses to the question about standard of living relative to parents.

Several observations may be made:

First, average life satisfaction ratings are higher for the high-income, low growth group than for other countries. It is somewhat surprising that life satisfaction is not as high, or higher in the high-income, high growth group. It might be interesting to speculate about that result, but my focus is on the question of whether perceptions of standard of living relative to parents influence life satisfaction ratings.

Second, average life satisfaction ratings of those who perceive their standard of living to be about the same as their parents are not much lower than for those who perceive their standard of living to be higher than that of their parents.

Third, average life satisfaction ratings of those who perceive their standard of living to be lower than that of their parents are substantially lower than for those who perceive their standard of living to be higher than that of their parents. That is true for all four groups of countries.

The important point to note is that the perception of having a lower standard of living than parents had at a comparable age has a substantial adverse impact on life satisfaction ratings.

Implications

The implications of the observed relationship between perceptions of standard of living relative to parents at a comparable age and economic growth experience are obvious. Lower economic growth is likely to result in increasing percentages of people having lower living standards than their parents. If economic growth is brought to a halt, the percentages who perceive that their living standards are lower than those of their parents would presumably end up approximately equal to the percentages who perceive that their incomes are higher than those of their parents.  

The implications for average life satisfaction of an increase in percentages who feel worse off than their parents at a comparable age are also obvious from the analysis presented above. An increase in the percentage of people who perceive that they have a lower standard of living than their parents is likely to result in a decline in average life satisfaction. The extent and duration of the associated decline in psychological well-being could be expected to vary depending on the resilience of individuals.

The analysis suggests that the psychic costs of adjustment to zero economic growth would initially fall most heavily on young people. In countries where per capita incomes are relatively high, older members of the population have been able to retain the benefits of higher economic growth that occurred earlier in their working lives.

In an earlier study focusing on Australia I found that in the 18-54 years group 33% felt better off than their parents; 48% felt worse off, and 19% felt that their incomes were about the same as their parents’ incomes at a comparable age. Consistent with the findings of the current study, those who felt worse off than their parents had substantially lower life satisfaction.

The Australian study looked more deeply at the group who feel worse-off than their parents, to observe the extent to which their life satisfaction experiences interacted with their resilience. As might be expected, the results indicated that people with relatively high resilience were able to maintain relatively high life satisfaction despite feeling worse off than their parents were at a comparable age.

Implications of three different kinds follow from acknowledging that lower economic growth causes an increasing proportion of the population to experience the psychic costs associated with disappointed expectations.

First, at an individual level, those affected are posed with the problem of how to adjust to the new set of circumstances. They may need the support of family and friends, and possibly professional help, to moderate the psychic costs involved.

Second, governments, and those advising them, need to consider whether there are more sensible ways to pursue policy objectives. The psychic costs associated with zero economic growth make this outcome less desirable, irrespective of whether it is pursued deliberately or occurs as a consequence of the incompetence of those responsible for economic policies.

Third, observers of interactions within social and economic systems need to consider likely responses of voters who are disappointed that it has become more difficult to achieve the goal of being able to maintain a standard of living at least as high as that of their parents. Voters can be expected to blame government policies for their predicament. From a social science perspective, the interesting question is whether government policy responses are more likely to restore economic growth or make the problem worse.

Conclusions

This essay has focused on the likely impact on average life satisfaction at a national level of policies to achieve zero economic growth. Data from the World Values Survey has been used to examine the relationship between the perceptions of respondents about their standard of living relative to their parents at a comparable age and economic growth in the countries in which they reside. That data has then been linked to average life satisfaction.

The main findings are:

Perceptions of standard of living relative to parents are positively related to past economic growth experience of the countries in which people live.

In the high-income countries, low growth has a greater adverse impact on young peoples’ perceptions of their standard of living relative to parents than on the corresponding perceptions of old people.

The perception of having a lower standard of living than parents at a comparable age has a substantial adverse impact on life satisfaction ratings.

These findings imply that lower economic growth rates would be likely to result in an increasing proportion of the population having lower living standards than their parents, and hence, lower average life satisfaction. The psychic costs of adjustment to zero economic growth would initially fall most heavily on young people.

Zero economic growth would have implications for individuals, governments and social scientists:

• At an individual level, those whose expectations have been disappointed are posed with the problem of how to adjust.
• Governments and their advisors are posed with the problem of considering whether there are more sensible ways of pursuing policy objectives.
• Social scientists are posed with the problem of assessing whether voters in different countries are more likely to respond in ways that will fix the problem by restoring economic growth, or to make it worse by favoring policies that will lead to economic decline.

The problems of psychological adjustment to lower economic growth should no longer be ignored.

Addendum

I have received the following comment by email from Arthur Grimes, Senior Fellow, Motu, Wellington, New Zealand:

"This is an excellent article - thanks for the contribution to understanding these issues.

Another angle is to think about how people's life satisfaction reacts when incomes in their country grow more slowly than comparable and/or neighboring countries. There are a couple of studies that show an analogous situation to your results; i.e. people in more slowly growing countries feel worse off (in subjective wellbeing terms) than do people in higher growth countries."

My response:

One of the articles that Arthur referred to is: Arthur Grimes and Marc Reinhardt, ‘Relative Income, Subjective Wellbeing and the Easterlin Paradox: Intra- and Inter -national Comparisons’, published as Chapter 4 in: Mariano Rojas (Ed.) The Economics of Happiness: How the Easterlin Paradox Transformed Our Understanding of Well-Being and Progress (Switzerland: Springer Nature, 2019).

The abstract of the article is as follows:

“We extend the Easterlin Paradox (EP) literature in two key respects. First, we test whether income comparisons matter for subjective wellbeing both when own incomes are compared with others within the country (intra-national) and with incomes across countries (inter-national). Second, we test whether these effects differ by settlement-type (rural through to large cities) and by country-type (developed and transitional). We confirm the intra-national EP prediction that subjective wellbeing is unchanged by an equi-proportionate rise in intra-country incomes across all developed country settlement-types. This is also the case for rural areas in transitional countries but not for larger settlements in those countries. International income comparisons are important for people’s subjective wellbeing across all country-settlement-types. Policy-makers must therefore consider their citizens’ incomes in an international context and cannot restrict attention solely to the intra-national income distribution.”

In combination with my results, the findings of the article suggest to me that a range of different reference points are relevant to life satisfaction ratings. Arthur has provided another reason to expect people in more slowly growing countries to feel worse off (in subjective wellbeing terms) than do people in higher growth countries.   

How are life satisfaction ratings related to living standards evaluations?

 

It is well known that in wealthy countries, further improvement of average incomes has only a small impact on average life satisfaction. Diametrically opposed explanations have been offered.

On the one hand, there are those who say that if rising incomes have little effect on average life satisfaction, that must mean that their apparent impact on living standards is a mirage – rising incomes do not count as progress.

On the other hand, there are those who say that average life satisfaction numbers are garbage – you can’t expect to get useful information by asking people to rate their satisfaction with life on a 10-point scale. They say that rising average incomes provide an accurate picture of progress.

In my view, those opposing explanations are both unhelpful to an understanding of the relationship between living standards and life satisfaction. In my book, Freedom, Progress, and Human Flourishing, I explain that rising incomes result in actual improvements in living standards, and count as progress because that is what people aspire to have. Since self-direction is integral to human flourishing, it is obvious that progress is inextricably linked to conditions that enable individuals to meet their aspirations more fully. In the book, I also explain why I think average life satisfaction is an appropriate measure of psychological well-being at a national level. I suggest that psychological well-being, along with wise and well-informed self-direction, is one of several basic goods that a flourishing human could be expected to have.

The moving benchmark problem.

The failure of life satisfaction to reflect improved living standards is explained as follows in my book:

“The happiness surveys behind this puzzle, often referred to as the Easterlin puzzle, ask respondents to rate their lives relative to benchmarks such as the best possible life. Let us assume that when a person in a high-income country, call him Bill, answered that question in 1990, and he gave a rating of 8/10 for his life. Since then, Bill’s income has increased at about the same rate as the average for the country in which he lives, and there have been no abnormal changes in the circumstances of his life. In January 2020 … he again rated his life as 8/10. …

Bill’s income has risen, but his rating of his life has not risen.

The problem is that the survey prompted Bill to rate his life against a moving benchmark. Bill’s view of what constitutes the best possible life is likely to have risen over time. The people he sees living such a life have obtained access to better communication technology, and other things that have potential to enhance the quality of life. If you ask people to rate their current lives relative to a benchmark that is moving upwards over time, measurement error is inevitable.”

Ways to avoid the moving benchmark problem include the ACSA approach previously discussed on this blog (here and here). For reasons best known to themselves, happiness researchers have not shown much interest in using that approach to test the extent to which life satisfaction measures are distorted by moving benchmarks.

Living standards comparisons

The moving benchmark problem does not arise when people are asked how their standard of living compares with that of their parents when they were about the same age. Surveys of that kind have tended to provide information consistent with perceptions of ongoing progress with rising incomes in wealthy countries.

There is no plausible reason why such inter-generational comparisons should be viewed as less credible than life satisfaction ratings, or vice versa. As I see it, they are cognitive evaluations of different things. The intergenerational comparisons are measuring perceptions of progress, and the life satisfaction ratings are measuring current psychological well-being.

Merging life satisfaction and living standards evaluations

In order to obtain a better understanding of the linkage between perceptions of progress and current life evaluations, it is necessary to bring those different cognitive evaluations together in some way. That has been made possible by inclusion in the latest round of the World Values Survey of a question asking respondents whether their living standards are higher, lower, or about the same as those of their parents when they were about the same age. The graphs shown above were prepared using the excellent Online Data Analysis facility of the World Values Survey. Information is shown for the United States and Australia, but similar pictures emerge for other high-income countries.

The most obvious point illustrated by the graphs is that people tend to be much less satisfied with their lives if they perceive that their living standards are lower than those of their parents at a comparable age. Their perceptions that their living standards have fallen tends to make them feel grumpy about life.

The second point to emerge is that the life satisfaction ratings of those who perceive that their living standards are better than those of their parents are not much higher than for those who perceive that their living standards are about the same as those of their parents. Their perceptions of progress are not reflected to any great extent in their satisfaction current lives. That result is consistent with my view that life satisfaction is a poor indicator of the extent to which people meet their aspirations for higher living standards.

Implications

Perceptions of change in living standards that emerge from intergenerational comparisons are related to the recent history of economic growth in different countries. The greatest percentage perceive that their living standards are higher than their parents in countries that have sustained high rates of growth in per capita GDP over several decades. Of the 54 countries for which data are available, Vietnam has the greatest percentage in that category (90%) and Iraq has the lowest (21%). The corresponding percentages for Australia and the U.S. are 56% and 48% respectively.

Percentages who perceive that their living standards are lower than their parents follow a broadly similar pattern, but in most countries are within the range of 10% to 25%. Of the 54 countries, Zimbabwe is the only one where more than half of respondents perceived that their standard of living was lower than that of their parents. The corresponding percentages for Australia and the U.S. are 15% and 19% respectively.

The age structure of people who perceive themselves to be worse off than their parents suggests that this source of grumpiness is likely to pose a greater problem in Australia and the U.S. in the years ahead. The incidence is lowest among the 65+ age group (7.6% for Australia and 8.4% for the U.S.). The highest incidence in Australia is in the 25-34 age group (20.1%) and in the U.S. in the 35-44 age group (26.4%).

Conclusions

Average life satisfaction provides useful information on psychological well-being at a national level, but is a poor measure of the extent to which people are meeting their aspirations for higher living standards. As expected, people who perceive their standard of living to be higher than that of their parents, do not rate their life satisfaction much higher than those who perceive their standard of living to be about the same as that of their parents. However, people who perceive their standard of living to be lower than that of their parents have markedly lower life satisfaction than the other groups. The percentage of grumpy people in countries such as Australia and the U.S. seems set to rise in the years ahead unless opportunities improve for young people to meet their aspirations for higher living standards.

Addendum

This analysis has now been extended to a broader range of countries. Please see this essay.

How useful is the WELLBY concept in assessing the benefits and costs of alternative policies?

 

There are good reasons why public policy discussions often revolve around the benefits and costs of alternative policies. Discussions that begin with the consideration of rights often require participants to acknowledge conflicting rights and to weigh up consequences in a search for the principles that can most appropriately be applied.

For example, consider what followed when I suggested recently in a discussion of the merits of lockdowns to counter the spread of COVID19 that such policies should be assessed against the principle that individuals have a right to direct their own flourishing, provided they do not interfere with the similar rights of other people. The latter part of that assertion implies a willingness to consider whether infected people who spread disease are interfering with the rights of others. At an early stage of the discussion, I acknowledged that it would be a step too far to insist that everyone has the right to recklessly endanger the lives of others. I argued that there should nevertheless be a presumption in favour of freedom, and that those who advocate restriction of freedom should be required to demonstrate that the benefits clearly exceed the costs.

That illustrates how the discussion of benefits and costs tends to rule the roost in civilized discussions of public policy. An exchange of different views about rights can be enlightening, but endless repetition of conflicting assertions about rights does not qualify as civilized discussion in my view.

A WELLBY (or Wellbeing Year) is equal to a one-point increment on a 10-point life satisfaction scale. If you assessed your level of life satisfaction as 8/10 in 2019 and 7/10 in 2020, that would be a decline of one WELLBY.

I began thinking about the WELLBY concept while considering how it is possible to measure the costs and benefits of lockdowns, but in this article, I will focus on the usefulness of that concept rather than on the question of whether benefits of lockdowns could ever exceed the associated costs.

Assessing the psychological cost of lockdowns

Indicators of subjective well-being are obviously relevant in assessing the psychological costs associated with policies that require people to stay at home. Available evidence suggests that lockdowns caused a decline in average life satisfaction of about half a point in the UK and similar countries in the
period to March 2021. On that basis, Paul Frijters, Gigi Foster, and Michael Baker estimate that lockdowns cause loss of life satisfaction to the general public in the U.K. of 41,667 WELLBYs per million citizens for each month of lockdown. This estimate is in Chapter 5 of their book, The Great Covid Panic, 2021.

I think that is an appropriate use of the WELLBY concept. If anyone knows of a better way to assess the psychological costs of lockdowns, I would be interested to know what it is.

Frijters, Foster, and Baker incorporate several other items in their assessment of the costs of lockdowns. I will consider one of those later, but I want to turn now to use of the WELLBY concept in the assessment of the main hypothetical benefit of lockdowns, namely lives potentially saved.

Assessing the value of a life saved

Richard Layard and Ekaterina Oparina have published a provocative article using a WELLBY approach to assess the monetary value of preventing the loss of one year of human life (Chapter 8 of World Happiness Report, 2021).

Layard and Oparina begin their discussion by observing that the average WELLBY is 7.5 in advanced countries. On that basis, they claim that preventing the loss of one year of the life of one person saves 7.5 WELLBYs.

The authors draw upon information on the relationship between income and life satisfaction in order to assess the monetary value of that loss. After some discussion of relevant research, they suggest that a coefficient of 0.3 is an appropriate measure of the impact on life satisfaction of a unit change in absolute log income. With average income of $30, 000, the loss of $1 is equivalent to 1/100,000 WELLBYs (0.3/30,000). It follows, they suggest, that “we” should be willing to pay up to around $750, 000 to save a year of life (7.5 WELLBYs).

Layard and Oparina point out that the $750, 000 would be shared over the whole population. Nevertheless, it still seems an extremely large sum to pay to prolong a life by just one year.

One possible source of error is that life may have no value for people with very low life satisfaction, for example those with a rating less than 2/10. If you assume that a life year is equivalent to 5.5 WELLBYs (7.5 minus 2.0), the estimated sum that “we” should be willing to pay to prolong life by one year is reduced to $550, 000. That still seems implausibly high.

The estimate could be further reduced by taking account of the fact that the people who are most vulnerable to COVID19 often have pre-existing ailments that would tend to reduce their life satisfaction, and many of those in nursing homes would be unlikely to live another year in any case.

However, let us return to the question of whether $550,000 is a plausible estimate of what “we” should be prepared to pay to prolong by one year the life of a person with an average life satisfaction rating. An alternative way to approach the issue of determining the monetary value of a year of life is to consider estimates of the impact of changes in healthy life expectancy on average life satisfaction. Regression analysis suggests that the addition of one year to healthy life expectancy adds only 0.033 to average life satisfaction (Table 2.1, World Happiness Report, 2019). The income loss providing an equivalent loss of life satisfaction is only $3,300 (0.033*100,000). That strikes me as an implausibly low estimate of the value of a year of life.

My view of what is a plausible estimate of the value of one year of life is not based solely on my own gut feelings. The assumed value of a life year in cost-benefit analysis typically ranges from $50, 000 to $250, 000. Those assumptions are based on surveys asking people how much they would be willing to pay to extend their lives and estimates of amounts people need to be paid to accept jobs involving greater risks to life.

Estimates of the value of a year of life within that range seem to be broadly consistent with community expectations. Some groups may lobby for lives to be valued more highly in assessing whether life-saving drugs should be subsidized by governments. However, I don’t see large numbers of people suggesting that they would be willing to pay higher taxes to fund that.

There seems to me to be a fundamental problem in attempting to assess the value of a life-year from the relationship between average income and average WELLBYs. As I explain in Freedom, Progress, and Human Flourishing, psychological well-being is just one of the basic goods of a flourishing human. When you ask individuals open-ended questions about how they are faring, their responses are not confined to the extent that they are “satisfied” with life. They are likely to talk about whether they are achieving their aspirations, the state of their health and their personal relationships. If you ask a person who already has high life satisfaction why they aspire to earn a higher income, they are not likely to claim that they expect a higher income to enable them to become more satisfied with their own life. They are more likely to say that they want to put some money aside for various reasons, for example to assist with education of children or grandchildren, or to have something to fall back on in the event of illness.

If an individual is faced with a decision about whether to use accumulated wealth (or to mortgage their house) to purchase an expensive drug that might prolong their life for a year, the quality of that extended life (WELBYs) is not the only factor that they are likely to consider. The choice they make may well give consideration to their desire to improve opportunities available to the next generation of their family. There is an intergenerational choice involved in placing a value on an additional year of life.

What value should be placed on the lives of potential humans?

Frijters, Foster, and Baker include among the costs of lockdown the shutting down of the in-vitro fertilization (IVF) program during lockdowns in the UK because it was deemed to be a nonessential service. This resulted in about 30 fewer IVF births per million citizens per month of lockdown.

The cost of disruption of the IVF program is not critical to the authors’ conclusion that the cost of lockdowns exceed the benefits. Nevertheless, in my view there is a strong case for it to be taken into account. Potential parents clearly place a high value on the new lives that the program makes possible.

However, the methodology which Frijters, Foster, and Baker use to estimate the cost of disruption of the IVF program is a straightforward application of the WELBY concept to value lives. They calculate that each of these potential humans could be expected to enjoy 480 WELLBYs during his or her life – each is assumed to have a value equal to 6 WELLBYs and to live on average for 80 years. With the loss of 30 IVF babies per month, that amounts to the loss of 14,400 WELLBYs worth of human well-being per month per million citizens.

The reasoning is impeccable if you accept the utilitarian assumptions associated with use of the WELLBY concept to measure the value of a human life. Within that framework, if government policies prevent potential humans from being born, that diminishes the sum of human happiness by the amount of happiness they would have enjoyed during their lifetimes.

I have already indicated that I don’t accept that people value their own lives exclusively on the basis of WELLBYs. However, if I have not yet persuaded you to reject the WELLBY approach to evaluation of lives, you may wish to consider the following possible outcome of applying that approach.

Let us suppose that a government is considering a ban on all forms of contraception and seeks the services of some utilitarian advocates of maximization of human happiness to evaluate the costs and benefits of the proposal. It seems reasonable to predict that the utilitarians would conclude that the additional births resulting from the policy change would result in a large net increase in WELLBYs, and therefore an increase in the sum of human happiness. The more, the merrier they might say!

Conclusions

The WELLBY concept has a useful role to play in evaluation of some policies that have an impact on psychological well-being.

However, the valuation of lives according to the number of WELLBYs individuals might enjoy seems to be at variance with the approach that individuals take in making choices in relation to extension of their own lives. That approach to valuing lives is widely at variance with the approach most people in advanced countries adopt in considering the value of potential lives of the many additional humans that they could bring into the world if they felt inclined to do so. It counts the lives of potential people as having equal value to the lives of the living.

The WELLBY approach to valuation of human life should be rejected.

Postscript

A survey conducted by UBS has provided relevant information on the proportion of wealth that investors are willing to sacrifice for additional years of life. The survey covered 5,000 wealthy investors in 10 countries. On average, those with financial wealth in the $1 to $2 million range indicated that they were willing to give up 32% of their wealth for an additional decade of healthy living. That may seem a lot, but amounts to only $32,000 to $64,000 per annum when spread over 10 years.

Those figures are far lower than the $750,000 (discussed above) that an application of the WELLBY approach to life evaluation has suggested that “we” should be willing to pay to save a year of life.

Why am I interested in happiness research?

“THOMAS GRADGRIND, sir. A man of realities. A man of facts and calculations. A man who proceeds upon the principle that two and two are four, and nothing over, and who is not to be talked into allowing for anything over. Thomas Gradgrind, sir - peremptorily Thomas - Thomas Gradgrind. With a rule and a pair of scales, and the multiplication table always in his pocket, sir, ready to weigh and measure any parcel of human nature, and tell you exactly what it comes to. It is a mere question of figures, a case of simple arithmetic. You might hope to get some other nonsensical belief into the head of George Gradgrind, or Augustus Gradgrind, or John Gradgrind, or Joseph Gradgrind (all supposititious, non-existent persons), but into the head of Thomas Gradgrind - no, sir!

In such terms Mr. Gradgrind always mentally introduced himself, whether to his private circle of acquaintance, or to the public in general.” Charles Dickens, Hard Times, Chapter2.

I'm not like that. However, an interest in happiness research may seem to many people to imply an obsession with measuring, calculating and attempting to understand things that are not meant to be understood. 

Perhaps trying to understand what makes people happy is a bit like trying to understand why jokes are funny. It isn’t obvious that an understanding of what makes jokes funny would be much help to anyone in telling jokes, or how an understanding of what makes people happy would help anyone to become happier.

It is fairly easy to explain how I came to be interested in happiness research, so I will begin by writing about that. In my work as an economist I spent more than a few decades considering what government policies were likely to advance the well-being of the people in the countries where I have lived and worked (mainly Australia and New Zealand. It seemed fairly obvious that the vast majority of Australians and New Zealanders wanted higher incomes, so it was reasonable to assume that would improve their well-being. If someone questioned whether higher incomes would make people any happier, my defence was that economists should be in the business of making it possible for people to have happier lives rather than advising them how to spend their money.

At the same time, I could not help becoming interested in the puzzle of why happiness surveys showed little or no increase in average happiness ratings in high income countries over several decades while average income levels rose substantially. This is of course Easterlin’s puzzle - named after the economist Richard Easterlin.

I stopped being puzzled once I understood that happiness surveys measure emotional well-being - a component of well-being rather than the whole package. There is no reason to expect the value that people place on physical health, education, housing and safety, among other things, to be fully reflected in measures of emotional well-being. 

Emotional well-being is strongly related to self-esteem, optimism and the feeling of being in control of one’s life – none of which would be expected to be strongly influenced by further increases in incomes in high-income countries.

It is true, of course, that when people see higher incomes as the pathway to emotional bliss they are unlikely to be satisfied with one pot of gold - even if they find the end of a rainbow. But most people seem to make sensible choices. They might seek a higher income if that is necessary to pursue objectives that they consider to be worthwhile. For many people, higher incomes are incidental to career objectives. There is no reason to expect people to stop trying to achieve more in life just because they are satisfied with their current standard of living.

It seems to me that if we are interested in measuring well-being, then the survey measures of happiness are just one of the items we should look at. I favour the approach taken by the OECD in its Better Life Index.

However, an indicator approach doesn’t give economists a value-free measure of well-being. It leaves open the question of what weights should be given to the various component indexes. The OECD leaves the value judgement in the hands of the users of its index. That is more appropriate than having researchers assign weights, but it would be good to see how weights might need to differ to reflects the different values of people in different parts of the world. In my view the Better Life Index should be accompanied by illustrative weights derived from a values survey.

So, one of the reasons why I am interested in happiness research is apparent from what I have written. Happiness research is relevant to measurement of human well-being and that is relevant to economic policy.

I am particularly interested in the relationship between freedom and flourishing. Do government restrictions on individual freedom – in the wars against drug taking, smoking, alcohol, obesity, overwork etc. - actually have the desired effect of enabling people to have happier lives? I don’t think so. The policies adopted by governments seem designed to make people less happy in an attempt to get them to adopt healthier lifestyles, but I don’t know where to find the evidence to prove it.

In any case, that is only part of the story. My interest in happiness research is not always closely related to government policy. Some of my recent posts have taken me into the relationship between life satisfaction and the incidence of negative emotional experience. I am not sure why I am interested in such matters. Nevertheless, it seems more satisfying than spending my time trying to understand what makes jokes funny.

Does homeostasis explain the stability of life satisfaction in high income countries?

The theory of subjective well-being homeostasis proposes that life satisfaction is controlled by automatic neurological processes in a manner analogous to the maintenance of body temperature. The theory has been proposed by Professor Robert Cummins of the Australian Centre on Quality of Life (ACQOL), Deakin University. The basic idea is that positive and negative experiences can cause temporary changes in life satisfaction, but homeostasis normally brings it back within a set-point range. The exception occurs where chronic failure of the homeostatic system results in depression.

The theory proposes that homeostatic buffers enable humans to function normally:

• adaptation restores life satisfaction to the set-point range following positive changes in circumstances, such as an increase in income;
• resilience tends to restore life satisfaction to the set-point range following strong negative challenges.

Resilience depends on external resources, particularly intimate relationships and wealth, and internal buffers designed to minimise the impact of personal failure on positive feelings about the self. The internal buffers can operate at an unconscious level - e.g. assisting an individual to cope by enabling positive emotions to become accessible. They also operate at a conscious level by altering the way individuals see themselves in relation to the challenge (e.g. denying personal responsibility or viewing the failure as unimportant).

The distinguishing feature of the homeostasis theory is not the existence of adaptation and resilience – which are widely acknowledged in the happiness research literature – but the idea that these processes tend to restore emotional systems to unique set-points for each individual.

When I first read about homeostasis theory, a few years ago, evidence that some individuals experience long-term changes in life satisfaction seemed inconsistent with the idea of constant individual set-points. However, as Bob Cummins has pointed out, changes in life satisfaction do not necessarily imply change in an individual’s set-point (or homeostatically protected mood). If initial measurements of life satisfaction are higher than, or lower than, the set-point, then subsequent measurements can be expected to show a return to the set-point range.

My remaining doubts about homeostasis theory centre mainly around the question of how it can be reconciled with the international evidence of lower average life satisfaction in low-income countries. I find it hard to accept that a high proportion of the people in low-income countries who claim to have relatively low levels of satisfaction with their lives are suffering failure of their homeostatic systems. In some low-income countries, e.g. China, relatively low average life satisfaction seems to be accompanied by relatively high positive affect and relatively low negative affect.

Perhaps set-point ranges remain constant – if we think in terms of hypothetical neural correlates – but the relationship between set-point ranges and life satisfaction scales may change with changes in perceptions of what might be possible. As discussed in a recent post, individuals who move from a remote village to a major city might feel that their lives have improved, even though they become less contented with their living standards after moving to the new location. Does that mean they have become more vulnerable to homeostatic breakdown? I am not qualified to make informed predictions in relation to such matters, but my guess is that there would not be an increased risk of breakdown if the people concerned remain optimistic about their prospects in the city and retain the option to return to the village for family support if they need it.

The predictions of homeostasis theory seem to stand up well to tests that have been conducted so far. For example, homeostasis theory predicts that there will be greater variation in subjective well-being among people with low incomes than among people with high incomes. This is because people with low incomes (or low wealth) are more vulnerable to changes in circumstances. Analysis using data from the Australian Unity Wellbeing Index indicates that the standard deviation of subjective well-being is indeed substantially higher for people with relatively incomes, and declines as household incomes rise to around $100,000.

Homeostasis theory seems to provide a more plausible explanation for the stability of average life satisfaction in high-income countries than a rival theory, advanced by some economists, that this stability reflects evaluative judgements of life by the people in those countries. Evidence that life satisfaction is influenced by genes, and strongly related to self-esteem, optimism and feelings of being in control of one’s life, suggests that it is more appropriately interpreted as reflecting the moods (or frames of mind) of respondents than evaluative judgements. 

Researchers who want subjective well-being measures to reflect evaluative judgements that individuals make about the quality of their lives should consider an approach which requires greater cognitive inputs e.g. the ACSA question which asks people to assess their current well-being relative to the best and worst periods of their lives.

Can the "best possible life" get much better?

Someone is sure to try to tell me that the best possible life is a bit like Groundhog Day – it is as good as life can get. If I thought that the quality of life was just about emotional states I would agree. But there is more to life than emotional states, even though emotional states are very important.

The question is meant to be about the extent to which people perceive that it is possible for the quality of the best possible life to continue to get better, e.g. as a result of further advances in medical science or communications.

In happiness surveys people are often asked to evaluate their lives according to the Cantril ladder. The relevant question, as asked in Gallup’s World Poll, is as follows:

“Please imagine a ladder with steps numbered from zero at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time?” 

I have not been able to find research that directly relates to the question of how perceptions of the best possible life differ between countries and change over time. Perhaps I haven’t looked hard enough, or in the right places. If any readers can steer me in the direction of relevant research I would be most grateful.

A few years ago, Angus Deaton, who has been associated with the Gallup World Poll, speculated as follows about the meaning of “the best possible life”:

“A simpler interpretation of the Gallup World Poll findings is that when asked to imagine the best and worst possible lives for themselves, points "10" and "0" on the scale, people use a global standard. Danes understand how bad life is in Togo and other poor places, and the Togolese, through television and newspapers, understand how good life is in Denmark or other high-income countries.

Such an interpretation is also consistent with Easterlin's conclusion that the "best possible life for you" is a shifting standard that will move upward with rising living standards. Thus, we might expect the Danes to continue to maintain an average rating of 8 as national income rises, provided they stay in the same position in the global income rankings. If this interpretation is correct, it would be an indication of how much the globalization of information has affected the perceptions of populations worldwide - because the consistently high correlation between income and satisfaction could not have existed in its absence.”

I have some problems with the first paragraph of the quote. Given the wording of the question, it seems likely that perceptions of the best possible life are strongly influenced by knowledge of what kinds of lives it might be possible for the respondent to live. There seems to be quite strong evidence that the reference groups that rural people in China use to evaluate their own satisfaction with life are their fellow-villagers. The reference group changes when people move to the city. (See paper by John Knight and Ramani Gunatilaka.) That seems to be related to the “paradox of happy peasants and frustrated achievers” discussed by Carol Graham. If people evaluate their lives according to a rural village reference point of the best possible life, they may not be overstating their happiness but they are basing their judgement of their well-being on imperfect knowledge of what is possible. In order to shed more light on such matters it would be useful to conduct surveys of migrants from rural to urban areas using the ACSA methodology discussed in a recent post.

When we consider high income countries, it seems reasonable to expect that perceptions of the potential for the best possible life to improve would be closely related to perceptions of whether today’s youth will have a better life than their parents. Gallup’s surveys for the United States suggest that from 1998 to 2008 around two-thirds of Americans were optimistic, and only one-third pessimistic, about whether today’s youth would have a better life than their parents. Since then, however, Americans have become equally divided on that question. That probably reflects ongoing economic uncertainty in the wake of the Global Financial Crisis.

It would be interesting to know to what extent people who consider themselves to be living the best possible life at present are optimistic about the potential for life to get even better. I don’t have access to the detailed Gallup data, but data from the World Values Survey relating to people who are “completely satisfied” with their lives (score of 10 on the WVS rating scale) may be relevant. The following chart is based on data for high income countries in the latest round of surveys (2010-14) who claim to be completely satisfied with their lives.

The chart shows that being completely satisfied with life does not prevent people from being in agreement with the proposition that because of science and technology there will be more opportunities for the next generation. Optimism about such matters might even help to explain why some people are completely satisfied with their lives.  

Postscript: November 2019

Recent research by Alan Piper has suggested that optimism and pessimism about the future have an important influence on life satisfaction that is not attributable to personality differences among individuals. The use of German panel data covering several decades enabled the author to control for individual fixed effects (including those attributable to personality differences). Controlling for fixed effects reduces the estimated coefficients, but their size suggests that views of the future have an important impact irrespective of personality differences. After controlling for fixed effects, the estimated reduction in life satisfaction experienced by individuals who report being pessimistic is comparable to that associated with unemployment.

The paper: ‘Optimism, pessimism and life satisfaction: an empirical investigation’, February 2019, German Socio-Economic Panel (SOEP)

The results suggest that while many people who have high life satisfaction might think that the life they are living is the best possible at present, that is consistent with them being optimistic about the potential for their lives to become even better in future.

Should life evaluations be anchored to the best and worst periods of our lives?

Survey data on life satisfaction is a reliable tool for measuring some aspects of well-being. There is evidence (including in some research reported on this blog) that survey measures of life satisfaction are closely related to perceptions of achievement, personal relationships, standard of living, links to community, health and future security. There is also evidence that when people are asked to evaluate their life satisfaction they tend to think about things such as their career, romantic life, family, standard of living and health (See: Maike Luhmann et.al).

However, as previously discussed on this blog (here, here and here) there is a problem in comparing life satisfaction ratings from surveys conducted at different times because reference norms do not remain static.  When we are asked to rate our satisfaction with life we do so relative to reference norms, such as by comparing the quality of our lives with those of people we know, or by comparing our current lives with ‘the best possible life’. That means that we are rating our lives against benchmarks that can change as a result of such things as technological advances. For example, if we perceive that people living the best possible life have access to useful communications devices, such as iPhones, we may rate our own lives less highly if we cannot afford such devices.

If we see our lives improving in line with our perceptions of the best possible life, it is hardly surprising if we give similar ratings to their lives in successive surveys. It should be obvious that it would be a mistake under those circumstances to interpret stable ratings as implying that there has been no improvement in the quality of our lives. Before claiming that people are on some kind of hedonic treadmill that requires them to run faster to stay in the same place, researchers should be sure that the measurement tools they are using are actually capable of measuring progress.

Similarly, when researchers see life satisfaction ratings return to previous levels after people suffer some misfortune, they should be sure that they are using appropriate measurement tools before they claim that this means that the people concerned have not experienced any lasting loss of well-being. It is commendable and often therapeutic to “look on the bright side of life”, but if life evaluations reflect frames of mind it may be problematic to interpret them as a judgement about overall well-being.

That point can be illustrated by reference to a South African study in which conventional life satisfaction and happiness ratings were compared with scores on the ACSA scale. (See: Valerie Møller, Peter Theuns, Ida Erstad and Jan Bernheim, ‘The Best and Worst Times of Life: Narratives and Assessments of subjective Well-Being by Anamnestic Comparative Self Assessment (ACSA) in the Eastern Cape, South Africa’, Soc Indic Res, 89(1) 2008.)

The ACSA approach to measuring well-being and changes in well-being was first suggested by Jan Bernheim about 30 years ago. Its distinctive feature is to ask survey respondents to rate their current well-being by comparison with their memory of the best and worst periods of their own lives, with the best period being given a rating of +5 and the worst period being given a rating of -5. The scale is left open so that subsequent scores higher than +5 or lower than -5 are possible if individuals consider that their lives have improved or deteriorated sufficiently.

The South African study involved 46 respondents, 20 of whom were patients in a TB hospital. In general, the three measures of subjective well-being were strongly correlated with each other, but there was weak correlation between life satisfaction and ACSA for the TB patients. Again, while there were no significant differences between the averages of conventional life satisfaction and happiness ratings of the TB patients and others included in the survey, on the ACSA scale the average ratings of the TB patients were about 30 per cent lower than for the others included in the survey.

The authors note that while they did not ask for life stories when they were obtaining ACSA scores, they observed that respondents tended to string the momentous events in their lives together, using anchor periods as reference points to shape a coherent narrative. Interviews lasted between half an hour and 45 minutes and respondents “generally had no difficulty with the task”.

A couple of years ago I wrote a post wondering why more use has not been made of ACSA. I am still wondering. It seems to me that it would be potentially useful to incorporate an ACSA question for a sub-sample of respondents whose well-being has been monitored over an extended period in longitudinal studies (such as GSOEP, HILDA and BHPS). The accounts of changes in well-being over time provided by those surveys would be more plausible if life evaluations were anchored to consistent reference points corresponding to the best and worst periods of the lives of respondents.

How does income inequality affect happiness?

Early yesterday the thought occurred to me that it might be a good idea to write something about the effects of inequality on happiness levels. I have been thinking that the judgements people make about inequality are more like judgements about the characteristics of a good society than judgements about the effects of inequality on aggregate happiness (whatever that means). I thought I would spend an hour or so bringing myself up to date with the literature and then another hour or so writing something - and the rest of the day in the garden. However, the process has taken longer than I thought it would (and this post might also take longer to read than some people might think appropriate).

The issues involved are fairly complex. There are at least three different aspects of the relationship between income inequality and happiness that might be relevant – the effects of relative income levels on happiness, the more general effects of income inequality on happiness and the effects of income inequality on happiness inequality.

How do relative income levels affect life satisfaction? As discussed here some time ago, this is not always about envy and status-seeking. The findings of a study by Guy Mayraz et al, based on German panel data, are consistent with the more conventional view that income comparisons tend to have negative effects on life satisfaction of people with relatively low incomes. However, some of the authors’ findings shed further light on the issues:

• ·         Life satisfaction of men is more affected by relative income than that of women.
• ·          Comparisons with friends and neighbours are less important than broader comparisons with the whole population.
• ·          Those who perceive income comparisons to be important tend to have lower life satisfaction.
• ·         The negative effect of relative income comparisons for those with below average incomes is balanced (from a Benthamite perspective) by the positive effect for those with above average income.

Does inequality have an effect on life satisfaction over and above the relative income effect? Studies which have attempted to answer this question have often reached different conclusions. A recent study by Paolo Verme, which seems to be technically superior to previous studies, has found that income inequality tends to have a significantly negative effect on life satisfaction, after controlling for relative income effects etc. The results seem to apply in western countries as well as non-western countries and to rich people as well as to poor people.

This raises the question of why income inequality might have these effects. One possibility is that people feel more comfortable in societies where opportunities are relatively equal. Another possibility is that they are more concerned about equality of outcomes. If so, it seems reasonable to suppose that they are concerned about income inequality because they think it results in happiness inequality.

Is there strong correlation between income inequality and happiness inequality? In a post a couple of years ago I suggested that there was not much evidence of correlation between income inequality and happiness inequality - on the basis of a paper by Jan Ott and some research of my own. Since there were not many countries included in these studies, it seemed like a good idea to produce the scatter diagram below showing measures of income and happiness dispersion for a larger number of countries. (I used World Bank and CIA data on the income/consumption gini and data on standard deviation of life satisfaction from Veenhoven’s latest IAH paper. Both series are based on information for various years during the last decade.)

I can’t see any relationship between the variables in the chart, but statistical analysis suggests that a weak positive relationship might exist.  (The correlation between the variables is 0.13. The estimated coefficient relating inequality of happiness to inequality of income in a linear regression is positive, but the standard error is not much smaller than the estimate. The ‘t’ statistic is 1.38.)

The absence of a strong relationship between inequality of income and happiness at an international level is consistent with the observation of Betsey Stevenson and Justin Wolfers that there has not been a close link between trends in happiness inequality and income inequality in the United States. It is also consistent with the findings of a paper by Leonardo Becchetti et al, based on panel data, that the increase in income inequality has not been one of the drivers of the increase in happiness inequality in Germany.

So, how did this information enlighten me on the question of whether the judgements people make about inequality are more like judgements about the characteristics of a good society than judgements about the effects of inequality on aggregate happiness? The effects of relative income on life satisfaction do not seem relevant to this question. The relationship between income inequality and individual happiness does seem relevant, but I suspect it has more to do with empathy with compatriots and a desire to alleviate suffering of people near the bottom of the income scale rather than a more general concern about distributional equity.

Happiness inequality also seems relevant. When Ruut Veenhoven argues that the quality of a society should be judged by the disparity of happiness among its citizens as well by average happiness levels, he is clearly making a judgement about the characteristics of a good society. The weakness of the relationship between income inequality and happiness inequality certainly suggests that caution is required in basing judgements about the relative quality of different societies on income distribution data. The question I am left with, however, is to what extent disparities of happiness can be attributed to government policies and societal institutions (the rules of the game) rather than individual and group behaviour. It seems to me that to the extent that we introduce distributional considerations into our consideration of the quality of different societies, we are on safer ground in basing our judgements on the distribution of opportunities that are offered, rather than on the distribution of happiness outcomes.

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.