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The Sad Truth about Happiness Scales

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  • Timothy N. Bond
  • Kevin Lang

Abstract

Happiness is reported in ordered intervals (e.g., very, pretty, not too happy). We review and apply standard statistical results to determine when such data permit identification of two groups’ relative average happiness. The necessary conditions for nonparametric identification are strong and unlikely to ever be satisfied. Standard parametric approaches cannot identify this ranking unless the variances are exactly equal. If not, ordered probit findings can be reversed by lognormal transformations. For nine prominent happiness research areas, conditions for nonparametric identification are rejected and standard parametric results are reversed using plausible transformations. Tests for a common reporting function consistently reject.

Suggested Citation

  • Timothy N. Bond & Kevin Lang, 2019. "The Sad Truth about Happiness Scales," Journal of Political Economy, University of Chicago Press, vol. 127(4), pages 1629-1640.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/701679
    DOI: 10.1086/701679
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    References listed on IDEAS

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    1. Oswald, Andrew J., 2008. "On the curvature of the reporting function from objective reality to subjective feelings," Economics Letters, Elsevier, vol. 100(3), pages 369-372, September.
    2. Hammond, Peter J. & Liberini, Federica & Proto, Eugenio, 2011. "Individual Welfare and Subjective Well-Being: Commentary Inspired by Sacks, Stevenson and Wolfers," Economic Research Papers 270767, University of Warwick - Department of Economics.
    3. Jens Ludwig & Greg J. Duncan & Lisa A. Gennetian & Lawrence F. Katz & Ronald C. Kessler & Jeffrey R. Kling & Lisa Sanbonmatsu, 2013. "Long-Term Neighborhood Effects on Low-Income Families: Evidence from Moving to Opportunity," American Economic Review, American Economic Association, vol. 103(3), pages 226-231, May.
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    6. Timothy N. Bond & Kevin Lang, 2013. "The Evolution of the Black-White Test Score Gap in Grades K–3: The Fragility of Results," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1468-1479, December.
    7. Timothy N. Bond & Kevin Lang, 2018. "The Black–White Education Scaled Test-Score Gap in Grades K-7," Journal of Human Resources, University of Wisconsin Press, vol. 53(4), pages 891-917.
    8. Berman, Eli & Lang, Kevin & Siniver, Erez, 2003. "Language-skill complementarity: returns to immigrant language acquisition," Labour Economics, Elsevier, vol. 10(3), pages 265-290, June.
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    More about this item

    JEL classification:

    • D6 - Microeconomics - - Welfare Economics
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • N3 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy

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