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New Evidence of Health State Dependent Utility of Consumption: A combined survey and register study

Author

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  • Fink Simonsen, Nicolai

    (University of Southern Denmark, DaCHE - Danish Centre for Health Economics)

  • Kjær, Trine

    (University of Southern Denmark, DaCHE - Danish Centre for Health Economics)

Abstract

It is standard practice in the literature to assume that an individual’s marginal utility of consumption is independent of health status. If this assumption is not met, it could have important implications for welfare economic analyses. The aim of this paper is to provide new, more comprehensive empirical evidence of state dependence following the approach used by Finkelstein et al. (2013). We use a rich combination of longitudinal survey data and administrative register data. Survey data were obtained from the Survey of Health, Ageing and Retirement in Europe (SHARE) and combined with data from the comprehensive Danish registers, including individual income data and data on health care utilisation based on the universal ICD-10 classification system. Utility is measured in terms of subjective well-being attained from the SHARE survey. To further increase the power of our sample, we used a state-of-the-art prediction algorithm to enrich the register data with information on subjective well-being. With this approach, this paper also makes a general methodological contribution on the use of prediction models for data enrichment and imputation. We define a reduced form equation in which individual subjective well-being is regressed according to income and health with an interaction effect capturing state dependence. Our results show evidence of negative state dependence. From our baseline regression, the estimated magnitude suggests that marginal utility of consumption decreases by 14.6% when an individual becomes sick. The results are robust to different levels of risk aversion and to assumptions regarding the mapping of the latent utility onto observed utility.

Suggested Citation

  • Fink Simonsen, Nicolai & Kjær, Trine, 2021. "New Evidence of Health State Dependent Utility of Consumption: A combined survey and register study," DaCHE discussion papers 2021:2, University of Southern Denmark, Dache - Danish Centre for Health Economics.
  • Handle: RePEc:hhs:sduhec:2021_002
    DOI: 10.21996/2c7w-0m41
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    as
    1. Asgeirsdottir, Tinna Laufey & Birgisdottir, Kristin Helga & Ólafsdóttir, Thorhildur & Olafsson, Sigurdur Pall, 2017. "A compensating income variation approach to valuing 34 health conditions in Iceland," Economics & Human Biology, Elsevier, vol. 27(PA), pages 167-183.
    2. Claus Thustrup Kreiner & David Dreyer Lassen & Søren Leth-Petersen, 2014. "Measuring the Accuracy of Survey Responses Using Administrative Register Data: Evidence from Denmark," NBER Chapters, in: Improving the Measurement of Consumer Expenditures, pages 289-307, National Bureau of Economic Research, Inc.
    3. Amy Finkelstein & Erzo F. P. Luttmer & Matthew J. Notowidigdo, 2009. "Approaches to Estimating the Health State Dependence of the Utility Function," American Economic Review, American Economic Association, vol. 99(2), pages 116-121, May.
    4. Amy Finkelstein & Erzo F. P. Luttmer & Matthew J. Notowidigdo, 2013. "What Good Is Wealth Without Health? The Effect Of Health On The Marginal Utility Of Consumption," Journal of the European Economic Association, European Economic Association, vol. 11, pages 221-258, January.
    5. Francisco Perez-Arce, 2011. "The Effect of Education on Time Preferences," Working Papers 844, RAND Corporation.
    6. Gregori Baetschmann & Kevin E. Staub & Rainer Winkelmann, 2015. "Consistent estimation of the fixed effects ordered logit model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(3), pages 685-703, June.
    7. Howley, Peter, 2017. "Less money or better health? Evaluating individual’s willingness to make trade-offs using life satisfaction data," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 53-65.
    8. Kim Peijnenburg & Theo Nijman & Bas J.M. Werker, 2017. "Health Cost Risk: A Potential Solution to the Annuity Puzzle," Economic Journal, Royal Economic Society, vol. 127(603), pages 1598-1625, August.
    9. Philippe Weil, 1990. "Nonexpected Utility in Macroeconomics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 29-42.
    10. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    11. Titus J Galama & Hans van Kippersluis, 2019. "A Theory of Socio-economic Disparities in Health over the Life Cycle," The Economic Journal, Royal Economic Society, vol. 129(617), pages 338-374.
    12. Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
    13. Evans, William N & Viscusi, W Kip, 1991. "Estimation of State-Dependent Utility Functions Using Survey Data," The Review of Economics and Statistics, MIT Press, vol. 73(1), pages 94-104, February.
    14. Robert E. Hall & Charles I. Jones, 2007. "The Value of Life and the Rise in Health Spending," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(1), pages 39-72.
    15. Maximilian Riedl & Ingo Geishecker, 2014. "Keep it simple: estimation strategies for ordered response models with fixed effects," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2358-2374, November.
    16. Layard, R. & Mayraz, G. & Nickell, S., 2008. "The marginal utility of income," Journal of Public Economics, Elsevier, vol. 92(8-9), pages 1846-1857, August.
    17. Ada Ferrer‐i‐Carbonell & Bernard M.S. van Praag, 2002. "The subjective costs of health losses due to chronic diseases. An alternative model for monetary appraisal," Health Economics, John Wiley & Sons, Ltd., vol. 11(8), pages 709-722, December.
    18. Meyer, Bruce D. & Mok, Wallace K.C., 2019. "Disability, earnings, income and consumption," Journal of Public Economics, Elsevier, vol. 171(C), pages 51-69.
    19. Tomas J. Philipson & Gary Becker & Dana Goldman & Kevin M. Murphy, 2010. "Terminal Care and The Value of Life Near Its End," NBER Working Papers 15649, National Bureau of Economic Research, Inc.
    20. Groot, Wim & van den Brink, Henriette Maassen, 2007. "Optimism, pessimism and the compensating income variation of cardiovascular disease: A two-tiered quality of life stochastic frontier model," Social Science & Medicine, Elsevier, vol. 65(7), pages 1479-1489, October.
    21. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    22. Perez-Arce, Francisco, 2017. "The effect of education on time preferences," Economics of Education Review, Elsevier, vol. 56(C), pages 52-64.
    23. W. Kip Viscusi, 2019. "Utility functions for mild and severe health risks," Journal of Risk and Uncertainty, Springer, vol. 58(2), pages 143-166, June.
    24. Kools, Lieke & Knoef, Marike, 2019. "Health and consumption preferences; estimating the health state dependence of utility using equivalence scales," European Economic Review, Elsevier, vol. 113(C), pages 46-62.
    25. Jennifer Beam Dowd & Megan Todd, 2011. "Does Self-reported Health Bias the Measurement of Health Inequalities in U.S. Adults? Evidence Using Anchoring Vignettes From the Health and Retirement Study," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 66(4), pages 478-489.
    26. Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
    27. Francisco Perez-Arce, 2011. "The Effect of Education on Time Preferences," Working Papers WR-844, RAND Corporation.
    28. Viscusi, W Kip & Evans, William N, 1990. "Utility Functions That Depend on Health Status: Estimates and Economic Implications," American Economic Review, American Economic Association, vol. 80(3), pages 353-374, June.
    29. Marcel Kerkhofs & Maarten Lindeboom, 1997. "Age related health dynamics and changes in labour market status," Health Economics, John Wiley & Sons, Ltd., vol. 6(4), pages 407-423, July.
    30. W. David Bradford, 2010. "The Association Between Individual Time Preferences and Health Maintenance Habits," Medical Decision Making, , vol. 30(1), pages 99-112, January.
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    More about this item

    Keywords

    utility; health risk; consumption;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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