Economic policy and the level of self-perceived well-being: An international comparison
Introduction
There are few things more precious to people in life than happiness and well-being. The 1776 Declaration of Independence of the Thirteen U.S. Colonies famously noted that “We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable rights, that among these are life, liberty and the pursuit of happiness.” The Soviet constitution of 1977 is no different in stressing the desire to create a society where “[…] the well-being of the people is constantly rising, and more and more favorable conditions are being provided for the all-round development of the individual.” The new European Union constitution signed in the Fall 2004 also notes that “The Union's aim is to promote peace, its values and the well-being of its peoples.” That happiness and well-being are so prominently displayed in the founding documents of such a diverse set of societies is a reflection of their universal importance to people.
The focus of macroeconomic inquiry has traditionally been on studying factors behind the gross domestic product, i.e., societies’ ability to produce and consume more goods and services. What has made this approach very attractive to modern economists in particular is its amenability to measurement, whereas happiness is harder to pin down. As evidence of economic growth's importance in the current mainstream thinking in modern societies, we can observe that governments very rarely omit higher economic growth as one of the main targets of public policies. Indeed, the success or failure of any government initiated expenditure, revenue, or regulatory policy is commonly judged by the rate of the ensuing economic growth.
Nonetheless, using income to measure the success of public policies is problematic. Very few people would concur with the statement that what makes them content with life is solely a function of the consumption of goods and services, or saving. Indeed, particularly in wealthy countries, changes in income may represent only a small fraction of overall happiness. Good personal relationships, economic and political freedom, health, education, income distribution, and many other factors may be equally important or more important, yet their value is not explicitly measured by the market place. That the marketplace and capitalism in general are deficient in fulfilling people's needs is an age-old argument. For instance, Karl Marx and Friedrich Engels argued that the materialistic desires of the dominant class – the bourgeoisie – were changing the whole nature of society towards an untenable state.1 The important question is which are the factors that affect people's well-being? How important are the economic factors in people's happiness and life satisfaction? Such questions are not only important for individuals but also crucial ones for policy makers to assess the efficacy of public policy.
Researchers have striven to come up with the measurement for well-being. Interestingly, even if economic growth figures prominently in current policy discussions, in the past 30 years there has been no lack of proposals for alternative measures of well-being, and for new ways to evaluate the effectiveness of public policies. Nordhaus and Tobin (1972), Estes (1988) and Daly and Cobb (1989) are examples of calls for broader approaches in measuring the success of government policies. The most commonly used of the alternative quality of life measures, the human development index (HDI) of the United Nations Development Program already has data going back 30 years. However, HDI is comprised of only three characteristics of society – life expectancy, educational attainment and GNP per capita – and does not reflect well-being comprehensively. Alternatively, researchers have recently taken advantage of increasing availability of survey data of self-perceived well-being. The data has been made available recently over longer time periods and across more countries.
This study utilizes this most updated and comprehensive survey data of well-being to find important determinants of well-being. More specifically, the paper explores how standard economic variables, such as income, economic growth, unemployment, inflation, foreign trading and institutional quality, are related to the self-perceived level of well-being (SWB), i.e., “happiness,” of individuals in a multi-country context. Compared to previous studies on happiness, this study includes more countries, focuses extensively on economic variables, and uses a more sophisticated measure of institutional quality. Compared to previous studies, the paper increases the number of countries considered by about 30. It is hoped that the more comprehensive international comparison provides a better picture of people's well-being in relation to various economic and non-economic factors. As the samples in the individuals-based study inevitably have less variation in institutional and economic characteristics, the broad cross-country-based study may illuminate the features that are likely to be missed in narrower micro-data studies. The data also provides two different measures of well-being: happiness and life satisfaction. As a second extension from the previous studies, these two measures are treated separately. This is because – even though happiness and life satisfaction are often used interchangeably in common language – it has been argued that they may have different meanings for individuals, and across cultures. Third, a more sophisticated measure of institutional quality is used here compared to previous studies, namely, we use the economic freedom index that has become the standard in the other fields of study. The index consists of categories that cover the levels of personal choice, voluntary exchange, competition, and protection of person and property, among other things.
Section snippets
Previous literature
Of modern economists, Nordhaus and Tobin (1972), Easterlin (1974) and Scitovsky (1976) were among the first to call for increased attention on studying those factors in people's life that money cannot buy. The basic argument was that income and economic growth are only a small part in the equation that makes people happy. Concurrently, happiness studies over the past decades have identified a number of variables that seem to explain SWB. Based on Frey and Stutzer, 2002a, Frey and Stutzer, 2002b
The data and the estimated model
The variables to be explained in the econometric analysis, happiness and life satisfaction, draw on the extensive national happiness surveys database managed by the Erasmus University in The Netherlands. The database draws on the world value survey (WVS) waves 2–4, which were conducted in the years 1990–1991, 1995–1996 and 1999–2001, respectively, plus some independent national level quality-of-life studies. We take the average over the periods to come up with our well-being measures. The
Empirical results
The empirical results of the study can be found from the two tables below. Table 2 includes happiness and Table 3 life satisfaction as the dependent variable. To highlight the separate identity of the two dependent variables, the independent variables were kept identical in both regression tables. Overall, the model used provides a reasonably good fit in explaining SWB across countries. In the cross-section of nearly 70 countries, the independent variables were able to explain – depending on a
Conclusion
This paper studied how macroeconomic variables are related to the self-reported levels of well-being of individuals. In particular, the econometric analysis attempted to uncover those economic variables that appear to be the most highly correlated with a country's success or failure in promoting its citizens’ well-being. The studied variables included economic growth, absolute income, the income of neighboring countries, inflation, unemployment, level of foreign trading, and economic freedom.
Acknowledgements
The authors would like to thank Ruut Veenhoven, Paul Wartena, Michael Montgomery, Nazri Sari and Morris Altman for helpful comments and suggestions.
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