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Measurement of health, health inequality, and reporting heterogeneity

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  • Ziebarth, Nicolas

Abstract

Using representative survey data of the German Socio-Economic Panel Study (SOEP) for 2006, we show that the magnitude of health inequality measures like the concentration index (CI) depends crucially on the underlying health measure. The highest degree of inequality is found when dichotomized subjective health measures like health satisfaction or self-assessed health (SAH) are employed. With the use of SF12, a generic health measure, the inequality indicator is reduced by a factor of ten. We show that the process of dichotomizing variables leads to such huge differences. Cardinalizing SAH by means of the SF12 leads to similar results to those with the pure SF12 measure. Employing generic health measures used with other populations like the Canadian HUI-III or the Finnish 15D to cardinalize SAH has a significant impact on the degree of inequality measured. Finally, by contrasting the physical health component of the SF12 to the unambiguously objective grip strength measure, we provide evidence of the presence of income-related reporting heterogeneity in generic health measures.

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Bibliographic Info

Article provided by Elsevier in its journal Social Science & Medicine.

Volume (Year): 71 (2010)
Issue (Month): 1 (July)
Pages: 116-124

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Handle: RePEc:eee:socmed:v:71:y:2010:i:1:p:116-124

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Keywords: Health measures Income-related health inequality Concentration index Reporting heterogeneity SF12 Grip strength German Socio -Economic Panel Study (SOEP) Germany;

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References

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  2. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 965-981.
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Citations

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Cited by:
  1. 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.
  2. 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.
  3. Joachim Frick & Nicolas Ziebarth, 2013. "Welfare-related health inequality: does the choice of measure matter?," The European Journal of Health Economics, Springer, vol. 14(3), pages 431-442, June.
  4. Schneider, Julia & Beblo, Miriam, 2010. "Health at work - indicators and determinants : a revised literature and data review for Germany," IAB Discussion Paper 201017, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  5. Charles J. Courtemanche & Daniela Zapata, 2012. "Does Universal Coverage Improve Health? The Massachusetts Experience," NBER Working Papers 17893, National Bureau of Economic Research, Inc.
  6. Pfarr, Christian & Schneider, Brit S. & Schneider, Udo & Ulrich, Volker, 2010. "I feel good! Gender differences and reporting heterogeneity in self-assessed health," MPRA Paper 24231, University Library of Munich, Germany.
  7. Ziebarth, Nicolas R. & Frick, Joachim R., 2010. "Revisiting the Income-Health Nexus: The Importance of Choosing the "Right" Indicator," IZA Discussion Papers 4787, Institute for the Study of Labor (IZA).
  8. Jens Ambrasat & Jürgen Schupp & Gert G. Wagner, 2011. "Comparing the Predictive Power of Subjective and Objective Health Indicators: Changes in Hand Grip Strength and Overall Satisfaction with Life as Predictors of Mortality," SOEPpapers on Multidisciplinary Panel Data Research 398, DIW Berlin, The German Socio-Economic Panel (SOEP).
  9. Pfarr, Christian & Schmid, Andreas & Schneider, Udo, 2011. "Reporting Heterogeneity in Self-Assessed Health among Elderly Europeans: The Impact of Mental and Physical Health Status," MPRA Paper 29900, University Library of Munich, Germany.
  10. P. Steca & A. Greco & M. D’Addario & D. Monzani & R. Pozzi & A. Villani & V. Rella & A. Giglio & G. Malfatto & G. Parati, 2013. "Relationship of Illness Severity with Health and Life Satisfaction in Patients with Cardiovascular Disease: The Mediating Role of Self-efficacy Beliefs and Illness Perceptions," Journal of Happiness Studies, Springer, vol. 14(5), pages 1585-1599, October.
  11. Timothy A. Weterings & Mark N. Harris & Bruce Hollingsworth, 2012. "Extending Unobserved Heterogeneity - A Strategy for Accounting for Respondent Perceptions in the Absence of Suitable Data," Monash Econometrics and Business Statistics Working Papers 12/12, Monash University, Department of Econometrics and Business Statistics.
  12. 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.

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