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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

Suggested Citation

  • Joachim Frick & Nicolas Ziebarth, 2013. "Welfare-related health inequality: does the choice of measure matter?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 431-442, June.
    • Handle: RePEc:spr:eujhec:v:14:y:2013:i:3:p:431-442
    DOI: 10.1007/s10198-012-0387-6
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    Cited by:

    1. Nicolas R. Ziebarth, 2018. "Social Insurance and Health," Contributions to Economic Analysis, in: Health Econometrics, volume 127, pages 57-84, Emerald Group Publishing Limited.
    2. 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).
    3. Eibich, Peter & Ziebarth, Nicolas, 2014. "Examining the Structure of Spatial Health Effects in Germany Using Hierarchical Bayes Models," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 49, pages 305-320.
    4. Coveney, Max & García-Gómez, Pilar & van Doorslaer, Eddy & Van Ourti, Tom, 2020. "Thank goodness for stickiness: Unravelling the evolution of income-related health inequalities before and after the Great Recession in Europe," Journal of Health Economics, Elsevier, vol. 70(C).
    5. Asada, Yukiko & Grignon, Michel & Hurley, Jeremiah & Kirkland, Susan, 2020. "Cautionary tails of grip strength in health inequality studies: An analysis from the Canadian longitudinal study on aging," Social Science & Medicine, Elsevier, vol. 265(C).
    6. Abeliansky, Ana Lucia & Beulmann, Matthias & Prettner, Klaus, 2024. "Are they coming for us? Industrial robots and the mental health of workers," Research Policy, Elsevier, vol. 53(3).
    7. Eibich, Peter & Ziebarth, Nicolas R., 2014. "Analyzing regional variation in health care utilization using (rich) household microdata," Health Policy, Elsevier, vol. 114(1), pages 41-53.
    8. Laia Maynou & Marc Saez & Jordi Bacaria & Guillem Lopez-Casasnovas, 2015. "Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(5), pages 543-559, June.
    9. Goebel, Jan & Krekel, Christian & Tiefenbach, Tim & Ziebarth, Nicolas R., 2013. "Natural Disaster, Policy Action, and Mental Well-Being: The Case of Fukushima," IZA Discussion Papers 7691, Institute of Labor Economics (IZA).
    10. Liliya Leopold, 2019. "Health Measurement and Health Inequality Over the Life Course: A Comparison of Self-rated Health, SF-12, and Grip Strength," Demography, Springer;Population Association of America (PAA), vol. 56(2), pages 763-784, April.
    11. Pulok, Mohammad Habibullah & van Gool, Kees & Hall, Jane, 2020. "Horizontal inequity in the utilisation of healthcare services in Australia," Health Policy, Elsevier, vol. 124(11), pages 1263-1271.
    12. Ricardo Rodrigues & Stefania Ilinca & Andrea E. Schmidt, 2018. "Income‐rich and wealth‐poor? The impact of measures of socio‐economic status in the analysis of the distribution of long‐term care use among older people," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 637-646, March.
    13. Eibich, Peter, 2015. "Understanding the effect of retirement on health: Mechanisms and heterogeneity," Journal of Health Economics, Elsevier, vol. 43(C), pages 1-12.
    14. Nádia Simões & Nuno Crespo & Sandrina B. Moreira & Celeste A. Varum, 2016. "Measurement and determinants of health poverty and richness: evidence from Portugal," Empirical Economics, Springer, vol. 50(4), pages 1331-1358, June.
    15. Davillas, Apostolos & Pudney, Stephen, 2016. "Concordance of health states in couples. Analysis of self-reported, nurse administered and blood-based biomarker data in Understanding Society," ISER Working Paper Series 2016-15, Institute for Social and Economic Research.

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    More about this item

    Keywords

    Welfare-related health inequality; Concentration index; Income measurement; Wealth; SOEP; D31; I10; I12;
    All these keywords.

    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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