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Money Does not Buy Happiness: Or Does It? A Reassessment Based on the Combined Effects of Wealth, Income and Consumption

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Abstract

The paper uses household economic panel data from five countries—Australia, Britain, Germany, Hungary and The Netherlands—to provide a reassessment of the impact of economic well-being on happiness. The main conclusion is that happiness is considerably more affected by economic circumstances than previously believed. In all five countries wealth affects life satisfaction more than income. In the countries for which consumption data are available (Britain and Hungary), non-durable consumption expenditures also prove at least as important to happiness as income.

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Notes

  1. This assumes that both capital gains and bequests are treated as income in the year in question.

  2. If included in a measure of overall consumption, both these items actually lowered the correlation between consumption and subjective outcomes. These initially surprising results are probably due to the fact that housing expenditure is strongly related to how recently one bought one’s dwelling, and fuel expenditure is related to the age of a dwelling, as well as size.

  3. Respondents gave their answers to these three questions within 12 expenditure bands (under 10 pounds, 10–19, 20–29 etc). In calculating total consumption we assumed expenditure at the mid-point of the band.

  4. The expenditures covered were utilities, rent/mortgage, clothing, doctors, prescribed medicines, other medicines, transport, cleaning woman, nurse, baby-sitting, food, tuition fees, holidays, charity gifts, and money spent on other households.

  5. However, in a trial run, results for the effects of wealth and income on life satisfaction were significant at the 0.001 level, although the size of the effects was small, as would be expected with a dichotomous dependent variable.

  6. However, there were weak but significant relationships between durables expenditure and satisfaction with standard of living.

  7. Five terms relating to the food items enter equations: the log of groceries expenditure and its square, the log of meals out and its square, and the cross-product of the logs.

  8. However, the two items by themselves appear not to be useful in accounting for life satisfaction and standard of living satisfaction.

  9. The variance explained was 64.5%.

  10. 1996 was preferred to 1997 because sample attrition was substantial in the final year of the panel.

  11. Dr Zsolt Speder, a co-investigator in Tarki, confirms that research using the Hungarian panel consistently finds a close relationship between life satisfaction and standard of living satisfaction (r ∼ 0.6), and consistently finds that economic variables account for as much variance in life satisfaction as in the domain satisfaction.

  12. Medium term correlations for Hungary, based on averaging wealth, income and consumption over 5 years, were considerably higher. The correlations between wealth and income, and between wealth and consumption were about 0.5, and the correlation of income with consumption was about 0.7.

  13. So the effect of including subjective variables on the RHS might well have been to bias the coefficients of main interest due to covariation between the subjective variables, omitted variables like personality traits and the dependent variable of life satisfaction.

  14. For the Netherlands (included in Table 3 but not Table 2) the only available measure was a self-report ‘bad health/good health’ dichotomous variable.

  15. The dependent variable is really only an ordinal scale, so strictly speaking an ordinal scale technique like ordered probit analysis would be more appropriate. However, like many researchers before us, starting with Andrews and Withey (1976), we found that OLS and ordinal scale results were substantively little different, and OLS has the advantages of familiarity and ease of interpretation.

  16. The life satisfaction results showed a similar pattern in that the coefficients derived from fixed effects models were much larger than from first difference equations. As expected, all coefficients were lower than for satisfaction with standard of living (compare Tables 2 and 3).

References

  • Andrews, F. M., & Withey, S. B. (1976). Social indicators of well-being: Americans’ perceptions of quality of life. New York: Plenum Press.

    Google Scholar 

  • Argyle, M. (2001). The psychology of happiness (2nd ed.). London: Routledge.

    Google Scholar 

  • Baltagi, B. H. (1995). Econometric analysis of panel data. New York: Wiley.

    Google Scholar 

  • Barrett, G. F., Crossley, T. F., & Worswick, C. (2000). Consumption and income inequality in Australia. The Economic Record, 76, 116–138.

    Article  Google Scholar 

  • Bradburn, N. M. (1969). The structure of psychological well-being. Chicago: Aldine.

    Google Scholar 

  • Brickman, P., Coates, D. D., & Janoff-Bulman, R. (1978). Lottery winners and accident victims: Is happiness relative? Journal of Personality and Social Psychology, 36, 917–927.

    Article  Google Scholar 

  • Browning, M., Crossley, T. F., & Weber, G. (2003). Asking consumption questions in general purpose surveys. The Economic Journal, 113, 540–567.

    Article  Google Scholar 

  • Buhmann, B., Rainwater, L., Schmaus, G., & Smeeding, T. M. (1988). Equivalence scales, well-being, inequality and poverty: Sensitivity estimates across ten countries, using the Luxembourg Income Study (LIS) database. Review of Income and Wealth, 34, 115–142.

    Article  Google Scholar 

  • Campbell, A., Converse, P. E., & Rodgers, W. L. (1976). The quality of American life: Perceptions, evaluations, and satisfactions. New York: Russell Sage Foundation.

    Google Scholar 

  • Clark, A. E., Georgellis, Y., Lucas, R. E., & Diener, E. (2004). Unemployment alters the set point for life satisfaction. Psychological Science, 15, 8–13.

    Article  Google Scholar 

  • Coulter, F. A. E., Cowell, F. A., & Jenkins, S. P. (1992). Equivalence scale relativities and the extent of inequality and poverty. Economic Journal, 102, 1067–1082.

    Article  Google Scholar 

  • Cutler, D., & Katz, L. (1992). Rising inequality? American Economic Review, 82, 546–551.

    Google Scholar 

  • Diener, E., & Biswas-Diener, R. (2002). Will money increase subjective well-being? A literature review and guide to needed research. Social Indicators Research, 57, 119–169.

    Article  Google Scholar 

  • Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999). Subjective well-being: Three decades of progress. Psychological Bulletin, 125, 276–302.

    Article  Google Scholar 

  • Duesenberry, J. S. (1949). Income, saving and the theory of consumer behavior. Cambridge: Harvard University Press.

    Google Scholar 

  • Easterlin, R. A. (1974). Does economic growth improve the human lot? Some empirical evidence. In: David, P. A. & Reder, M. W. (Eds.), Nations and households in economic growth: Essays in honor of Moses Abramowitz. New York: Academic Press.

    Google Scholar 

  • Easterlin, R. A. (2005). Building a better theory of well-being. In: L. Bruni & P. Porta (Eds.), Economics and Happiness: Framing the Analysis. Oxford: Oxford University Press.

    Google Scholar 

  • Frank, R. H. (1985). The demand for unobservable and other nonpositional goods. American Economic Review, 75, 101–116.

    Google Scholar 

  • Frey, B. S., & Stutzer, A. (2002a). Happiness and economics: How the economy and institutions affect human well-being. Princeton: Princeton University Press.

    Google Scholar 

  • Frey, B. S., & Stutzer, A. (2002b). What can economists learn from happiness research? Journal of Economic Literature, 40, 402–435.

    Article  Google Scholar 

  • Frijters, P., Haisken-DeNew, J. P., & Shields, M. A. (2004). Money does matter! Evidence from increasing real incomes and life satisfaction in east Germany following reunification. American Economic Review, 94, 730–741.

    Article  Google Scholar 

  • Goodin, R. E., Headey, B. W., Muffels, R., & Dirven, H-J. (1999). The real worlds of welfare capitalism. Cambridge: Cambridge University Press.

    Google Scholar 

  • Headey, B. W. (2006) Subjective well-being: Revisions to dynamic equilibrium theory using national panel data and panel regression methods. Social Indicators Research, 79, 369–403.

    Article  Google Scholar 

  • Hollaender, H. (2001). On the validity of utility statements: Standard theory versus Duesenberry’s. Journal of Economic Behavior and Organization, 45, 227–249.

    Article  Google Scholar 

  • Juster, T., Smith, J. P., & Stafford, F. (1999). The measurement and structure of household wealth. Labor Economics, 6, 253–276.

    Article  Google Scholar 

  • Kapteyn, A., Kooreman, P., & Willemse, R. (1988). Some methodological issues in the implementation of subjective poverty definitions. Journal of Human Resources, 23, 222–242.

    Article  Google Scholar 

  • Layard, R. (2005). Happiness: Lessons from a new science. London: Allen Lane.

    Book  Google Scholar 

  • Mullis, R. J. (1992). Measures of economic well-being as predictors of psychological well-being. Social Indicators Research, 26, 119–135.

    Article  Google Scholar 

  • Nickerson, C., Schwarz, N., Diener, E., & Kahnemann, D. (2003). Zeroing in on the dark side of the american dream: A closer look at the negative consequences of the goal for financial success. Psychological Science, 14, 531–536.

    Article  Google Scholar 

  • Oswald, A. J. (1997). Happiness and economic performance. Economic Journal, 107, 1815–1831.

    Article  Google Scholar 

  • Samuelson, P. A. (1938). A note on the pure theory of consumer’s behavior. Economica, 5, 61–71.

    Article  Google Scholar 

  • Schyns, P. (2002). Wealth of nations, individual income and life satisfaction in 42 countries: A multilevel approach. Social Indicators Research, 60, 5–40.

    Article  Google Scholar 

  • Slesnick, D. (1998). Empirical approaches to the measurement of welfare. Journal of Economic Literature, 36, 2108–1265.

    Google Scholar 

  • Van Praag, B. M. S. (1993). The relativity of the welfare concept In: Nussbaum, M. C. & Sen, A. (Eds.), The quality of life. Oxford: Clarendon Press.

    Google Scholar 

  • Van Praag, B. M. S., Hagenaars, A. J. M., & van Weeren, J. (1982). Poverty in Europe. Review of Income and Wealth, 28, 345–359.

    Article  Google Scholar 

  • Wedgwood, J. C. (1929). The economics of inheritance. London: Routledge.

    Google Scholar 

  • World Health Organization (WHO) (2002). Health status overview for countries of central and eastern Europe that are candidates for accession to the European Union. Copenhagen: WHO Regional Office.

    Google Scholar 

  • Wortman, C. B., & Silver, R. C. (1987). Coping with irrecoverable loss In: Vanderbos, G. R., & Bryant, B. K. (Eds), Cataclysms, crises, catastrophes: Psychology in action. Washington, DC: APA.

    Google Scholar 

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Correspondence to Bruce Headey.

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This paper reports on research being conducted as part of the research program, “The Dynamics of Economic and Social Change: An Analysis of the Household, Income and Labour Dynamics in Australia Survey.” It is supported by an Australian Research Council Discovery Grant (DP0342970).

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Headey, B., Muffels, R. & Wooden, M. Money Does not Buy Happiness: Or Does It? A Reassessment Based on the Combined Effects of Wealth, Income and Consumption. Soc Indic Res 87, 65–82 (2008). https://doi.org/10.1007/s11205-007-9146-y

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