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How does heterogeneity shape the socioeconomic gradient in health satisfaction?

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  • Andrew M. Jones
  • Stefanie Schurer

Abstract

Individual heterogeneity plays a key role in explaining variation in self-reported well-being and, in particular, health satisfaction. It is hypothesised that the inuence of this heterogeneity varies over levels of health and increases over the life-cycle. These hypotheses are tested with data on health satisfaction from 22 waves of the German Socioeconomic Panel (GSOEP). Nonlinear xed eects methods that allow for unobserved heterogeneity are not readily available for categorical measures of well-being. One common solution is to revert to conditional xed eects methods, at the price of a high degree of information loss. Another common solution is to ignore the association between unobserved heterogeneity and socio-economic status by using pooled or random eects models, at the price of potential bias. We use a generalization of the conditional xed eects logit, that allows for individual-specic reporting bias, heterogeneity in health endowments, and heterogeneity in the impact of income on health satisfaction. Adjusting for unobserved heterogeneity accounts for the relationship between income and very good health, but not between income and poorer health states. The income gradient for older age-groups is more strongly aected by controlling for unobserved heterogeneity: revealing an increasing inuence of heterogeneity on health satisfaction over the life-span.

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Bibliographic Info

Paper provided by HEDG, c/o Department of Economics, University of York in its series Health, Econometrics and Data Group (HEDG) Working Papers with number 07/05.

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Date of creation: Apr 2007
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Handle: RePEc:yor:hectdg:07/05

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Web page: http://www.york.ac.uk/economics/postgrad/herc/hedg/
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Keywords: Panel data; generalized conditional xed eects logit; generalized ordered logit; health; GSOEP.;

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Citations

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Cited by:
  1. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, Institute for the Study of Labor (IZA).
  2. Jesús M. Carro & Alejandra Traferri, 2011. "State dependence and heterogeneity in health using a bias corrected fixed effects estimator," Economics Working Papers we1118, Universidad Carlos III, Departamento de Economía.
  3. Fertig, Michael & Schurer, Stefanie, 2007. "Labour Market Outcomes of Immigrants in Germany: The Importance of Heterogeneity and Attrition Bias," IZA Discussion Papers 2915, Institute for the Study of Labor (IZA).
  4. Wooldridge, Jeffrey M., 2011. "A simple method for estimating unconditional heterogeneity distributions in correlated random effects models," Economics Letters, Elsevier, vol. 113(1), pages 12-15, October.
  5. Deborah A. Cobb‐Clark & Stefanie Schurer, 2013. "Two Economists' Musings on the Stability of Locus of Control," Economic Journal, Royal Economic Society, vol. 0, pages F358-F400, 08.
  6. Stefanie Schurer, 2008. "Discrete Heterogeneity in the Impact of Health Shocks on Labour Market Outcomes," Ruhr Economic Papers 0071, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  7. Nakamura, Sayaka, 2014. "Parental income and child health in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 32(C), pages 42-55.
  8. Jan Brenner, 2007. "Parental Impact on Attitude Formation - A Siblings Study on Worries about Immigration," Ruhr Economic Papers 0022, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  9. Stefanie Schurer & Jongsay Yong, 2010. "Personality, Well-being and Heterogeneous Valuations of Income and Work," Melbourne Institute Working Paper Series wp2010n14, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  10. Schurer, S.; & Yong, J.;, 2012. "Personality, well-being and the marginal utility of income: What can we learn from random coefficient models?," Health, Econometrics and Data Group (HEDG) Working Papers 12/01, HEDG, c/o Department of Economics, University of York.
  11. Cubi-Molla, P. & Jofre-Bonet, M. & Serra-Sastre, V., 2013. "Adaptation to Health States: A Micro-Econometric Approach," Working Papers 13/02, Department of Economics, City University London.
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