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Analyzing Subjective Well-Being Data with Misclassification

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  • Ekaterina Oparina
  • Sorawoot Srisuma

Abstract

We use novel nonparametric techniques to test for the presence of nonclassical measurement error in reported life satisfaction (LS) and study the potential effects from ignoring it. Our dataset comes from Wave 3 of the UK Understanding Society that is surveyed from 35,000 British households. Our test finds evidence of measurement error in reported LS for the entire dataset as well as for 26 out of 32 socioeconomic subgroups in the sample. We estimate the joint distribution of reported and latent LS nonparametrically in order to understand the mis-reporting behavior. We show this distribution can then be used to estimate parametric models of latent LS. We find measurement error bias is not severe enough to distort the main drivers of LS. But there is an important difference that is policy relevant. We find women tend to over-report their latent LS relative to men. This may help explain the gender puzzle that questions why women are reportedly happier than men despite being worse off in objective outcomes such as income and employment.

Suggested Citation

  • Ekaterina Oparina & Sorawoot Srisuma, 2022. "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 730-743, April.
    • Handle: RePEc:taf:jnlbes:v:40:y:2022:i:2:p:730-743
    DOI: 10.1080/07350015.2020.1865169
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    1. Robert J. MacCulloch & Rafael Di Tella & Andrew J. Oswald, 2001. "Preferences over Inflation and Unemployment: Evidence from Surveys of Happiness," American Economic Review, American Economic Association, vol. 91(1), pages 335-341, March.
    2. Bound, John & Krueger, Alan B, 1991. "The Extent of Measurement Error in Longitudinal Earnings Data: Do Two Wrongs Make a Right?," Journal of Labor Economics, University of Chicago Press, vol. 9(1), pages 1-24, January.
    3. Betsey Stevenson & Justin Wolfers, 2009. "The Paradox of Declining Female Happiness," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 190-225, August.
    4. Yingyao Hu & Susanne M. Schennach, 2008. "Instrumental Variable Treatment of Nonclassical Measurement Error Models," Econometrica, Econometric Society, vol. 76(1), pages 195-216, January.
    5. Schröder, Carsten & Yitzhaki, Shlomo, 2017. "Revisiting the evidence for cardinal treatment of ordinal variables," European Economic Review, Elsevier, vol. 92(C), pages 337-358.
    6. Chen, Songnian & Khan, Shakeeb, 2003. "Rates of convergence for estimating regression coefficients in heteroskedastic discrete response models," Journal of Econometrics, Elsevier, vol. 117(2), pages 245-278, December.
    7. Lee, Myoung-jae, 1992. "Median regression for ordered discrete response," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 59-77.
    8. Jonathan Gruber & Sendhil Mullainathan, 2006. "Do Cigarette Taxes Make Smokers Happier?," Palgrave Macmillan Books, in: Yew-Kwang Ng & Lok Sang Ho (ed.), Happiness and Public Policy, chapter 6, pages 109-146, Palgrave Macmillan.
    9. Gerhard Meisenberg & Michael Woodley, 2015. "Gender Differences in Subjective Well-Being and Their Relationships with Gender Equality," Journal of Happiness Studies, Springer, vol. 16(6), pages 1539-1555, December.
    10. Hu, Yingyao, 2008. "Identification and estimation of nonlinear models with misclassification error using instrumental variables: A general solution," Journal of Econometrics, Elsevier, vol. 144(1), pages 27-61, May.
    11. Xiaohong Chen & Han Hong & Elie Tamer, 2005. "Measurement Error Models with Auxiliary Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 343-366.
    12. Van Praag, Bernard, 1971. "The welfare function of income in Belgium: An empirical investigation," European Economic Review, Elsevier, vol. 11(3), pages 337-369.
    13. Daniel Wilhelm, 2018. "Testing for the presence of measurement error," CeMMAP working papers CWP45/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Yonghong An & Michael R. Baye & Yingyao Hu & John Morgan & Matt Shum, 2017. "Identification and Estimation of Online Price Competition With an Unknown Number of Firms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 80-102, January.
    15. Lu, Ruichang & Luo, Yao & Xiao, Ruli, 2014. "An MPEC estimator for misclassification models," Economics Letters, Elsevier, vol. 125(2), pages 195-199.
    16. Andrew E. Clark & Paul Frijters & Michael A. Shields, 2008. "Relative Income, Happiness, and Utility: An Explanation for the Easterlin Paradox and Other Puzzles," Journal of Economic Literature, American Economic Association, vol. 46(1), pages 95-144, March.
    17. Barrington-Leigh, Christopher & Behzadnejad, Fatemeh, 2017. "The impact of daily weather conditions on life satisfaction: Evidence from cross-sectional and panel data," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 145-163.
    18. Andrews, Donald W K, 2001. "Testing When a Parameter Is on the Boundary of the Maintained Hypothesis," Econometrica, Econometric Society, vol. 69(3), pages 683-734, May.
    19. Sendhil Mullainathan & Marianne Bertrand, 2001. "Do People Mean What They Say? Implications for Subjective Survey Data," American Economic Review, American Economic Association, vol. 91(2), pages 67-72, May.
    20. Ed Diener & Ronald Inglehart & Louis Tay, 2013. "Theory and Validity of Life Satisfaction Scales," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 112(3), pages 497-527, July.
    21. Donald W. K. Andrews, 2000. "Inconsistency of the Bootstrap when a Parameter Is on the Boundary of the Parameter Space," Econometrica, Econometric Society, vol. 68(2), pages 399-406, March.
    22. Ed Diener & Ed Sandvik & William Pavot & Dennis Gallagher, 1991. "Response artifacts in the measurement of subjective well-being," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 24(1), pages 35-56, February.
    23. Yew-Kwang Ng & Lok Sang Ho (ed.), 2006. "Happiness and Public Policy," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-28802-7.
    24. Oswald, Andrew J. & Powdthavee, Nattavudh, 2008. "Does happiness adapt? A longitudinal study of disability with implications for economists and judges," Journal of Public Economics, Elsevier, vol. 92(5-6), pages 1061-1077, June.
    25. Easterlin, Richard A., 1974. "Does Economic Growth Improve the Human Lot? Some Empirical Evidence," MPRA Paper 111773, University Library of Munich, Germany.
    26. Richard Williams, 2010. "Fitting heterogeneous choice models with oglm," Stata Journal, StataCorp LP, vol. 10(4), pages 540-567, December.
    27. Manski, Charles F., 1985. "Semiparametric analysis of discrete response : Asymptotic properties of the maximum score estimator," Journal of Econometrics, Elsevier, vol. 27(3), pages 313-333, March.
    28. 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.
    29. Ed Diener & Shigehiro Oishi & Louis Tay, 2018. "Advances in subjective well-being research," Nature Human Behaviour, Nature, vol. 2(4), pages 253-260, April.
    30. Donald W. K. Andrews, 1999. "Estimation When a Parameter Is on a Boundary," Econometrica, Econometric Society, vol. 67(6), pages 1341-1384, November.
    31. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2019. "Have Econometric Analyses of Happiness Data Been Futile? A Simple Truth about Happiness Scales," IZA Discussion Papers 12152, Institute of Labor Economics (IZA).
    32. Hu, Yingyao, 2017. "The econometrics of unobservables: Applications of measurement error models in empirical industrial organization and labor economics," Journal of Econometrics, Elsevier, vol. 200(2), pages 154-168.
    33. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, July.
    34. Dolan, Paul & Peasgood, Tessa & White, Mathew, 2008. "Do we really know what makes us happy A review of the economic literature on the factors associated with subjective well-being," Journal of Economic Psychology, Elsevier, vol. 29(1), pages 94-122, February.
    35. Aprajit Mahajan, 2006. "Identification and Estimation of Regression Models with Misclassification," Econometrica, Econometric Society, vol. 74(3), pages 631-665, May.
    36. Easterlin, Richard A., 1995. "Will raising the incomes of all increase the happiness of all?," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 35-47, June.
    37. Young Jun Lee & Daniel Wilhelm, 2020. "Testing for the presence of measurement error in Stata," Stata Journal, StataCorp LP, vol. 20(2), pages 382-404, June.
    38. John Feddersen & Robert Metcalfe & Mark Wooden, 2016. "Subjective wellbeing: why weather matters," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(1), pages 203-228, January.
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    Cited by:

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    2. Goerke, Laszlo & Huang, Yue, 2022. "Job satisfaction and trade union membership in Germany," Labour Economics, Elsevier, vol. 78(C).
    3. Andrew E. Clark & Conchita D'Ambrosio & Niccolo Gentile & Alexandre Tkatchenko, 2022. "What makes a satisfying life? Prediction and interpretation with machine-learning algorithms," CEP Discussion Papers dp1853, Centre for Economic Performance, LSE.
    4. Chen, Le-Yu & Oparina, Ekaterina & Powdthavee, Nattavudh & Srisuma, Sorawoot, 2022. "Robust Ranking of Happiness Outcomes: A Median Regression Perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 672-686.
    5. Foliano, Francesca & Tonei, Valentina & Sevilla, Almudena, 2024. "Social restrictions, leisure and well-being," LSE Research Online Documents on Economics 121996, London School of Economics and Political Science, LSE Library.

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    More about this item

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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