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Welfare-related health inequality: does the choice of measure matter?

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  • Joachim Frick
  • Nicolas Ziebarth

    ()

Abstract

Using representative microdata from the German Socio-Economic Panel Study (SOEP), we show that the welfare measure choice has a substantial impact on the degree of welfare-related health inequality. To assess the sensitivity of welfare-related health inequality measures, we combine a unique set of income and wealth measures with different subjective, cardinalized, and (quasi-)objective health measures. The influence of the welfare measure is more pronounced when using subjective health measures than when using (quasi-)objective health measures. Copyright Springer-Verlag 2013

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Bibliographic Info

Article provided by Springer in its journal The European Journal of Health Economics.

Volume (Year): 14 (2013)
Issue (Month): 3 (June)
Pages: 431-442

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Handle: RePEc:spr:eujhec:v:14:y:2013:i:3:p:431-442

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Related research

Keywords: Welfare-related health inequality; Concentration index; Income measurement; Wealth; SOEP; D31; I10; I12;

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References

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  1. Jusot, Florence & Tubeuf, Sandy, 2011. "Social health inequalities among older Europeans : the contribution of social and family background," Economics Papers from University Paris Dauphine 123456789/5401, Paris Dauphine University.
  2. Nicolas R. Ziebarth, 2009. "Measurement of Health, the Sensitivity of the Concentration Index, and Reporting Heterogeneity," Discussion Papers of DIW Berlin 916, DIW Berlin, German Institute for Economic Research.
  3. Burkhauser, Richard V. & Feng, Shuaizhang & Jenkins, Stephen P. & Larrimore, Jeff, 2008. "Estimating Trends in US Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring," IZA Discussion Papers 3690, Institute for the Study of Labor (IZA).
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  5. Adam Wagstaff, 2005. "The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 429-432.
  6. Guido Erreygers & Tom Van Ourti, 2011. "Putting the cart before the horse. A comment on Wagstaff on inequality measurement in the presence of binary variables," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1161-1165, October.
  7. Guido Erreygers & Tom Van Ourti, 2010. "Measuring Socioeconomic Inequality in Health, Health Care and Health Financing by Means of Rank-Dependent Indices: A Recipe for Good Practice," Tinbergen Institute Discussion Papers 10-076/3, Tinbergen Institute.
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  15. Gert G. Wagner & Joachim R. Frick & Jürgen Schupp, 2007. "The German Socio-Economic Panel Study (SOEP): Scope, Evolution and Enhancements," SOEPpapers on Multidisciplinary Panel Data Research 1, DIW Berlin, The German Socio-Economic Panel (SOEP).
  16. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
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  21. Schmitz, Hendrik, 2011. "Why are the unemployed in worse health? The causal effect of unemployment on health," Labour Economics, Elsevier, vol. 18(1), pages 71-78, January.
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  23. Matthias Nübling & Hanfried H. Andersen & Axel Mühlbacher & Jürgen Schupp & Gert G. Wagner, 2007. "Computation of Standard Values for Physical and Mental Health Scale Scores Using the SOEP Version of SF12v2," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 127(1), pages 171-182.
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Citations

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Cited by:
  1. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Analyzing Regional Variation in Health Care Utilization Using (Rich) Household Microdata," EconStor Open Access Articles, ZBW - German National Library of Economics, pages 41–53.
  2. Eibich, Peter & Ziebarth, Nicolas, 2013. "Examining the Structure of Spatial Health Effects using Hierarchical Bayes Models," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79844, Verein für Socialpolitik / German Economic Association.
  3. Goebel, J.; & Krekel, C.; & Tiefenbach, T.; & Ziebarth, N.;, 2013. "Natural Disaster, Policy Action, and Mental Well Being: The Case of Fukushima," Health, Econometrics and Data Group (HEDG) Working Papers 13/28, HEDG, c/o Department of Economics, University of York.
  4. Eibich, P.;, 2014. "Understanding the effect of retirement on health using Regression Discontinuity Design," Health, Econometrics and Data Group (HEDG) Working Papers 14/10, HEDG, c/o Department of Economics, University of York.
  5. Peter Eibich, 2014. "Understanding the Effect of Retirement on Health Using Regression Discontinuity Design," SOEPpapers on Multidisciplinary Panel Data Research 669, DIW Berlin, The German Socio-Economic Panel (SOEP).

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