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Reporting Heterogeneity in Self-Assessed Health among Elderly Europeans: The Impact of Mental and Physical Health Status

  • Pfarr, Christian
  • Schmid, Andreas
  • Schneider, Udo

Self-assessed health (SAH) is a frequently used measure of individuals’ health status. It is also prone to reporting heterogeneity. To control for reporting heterogeneity valid measures of the objective health status are needed. The topic becomes even more complex for cross-country comparisons, as many key variables tend to vary strongly across countries, influenced by cultural and institutional differences. This study aims at exploring the key drivers for reporting heterogeneity in SAH in an international context. To this end, country specific effects are accounted for and the objective health measure is concretized, separating out effects of mental and physical health conditions. We use panel data from the Survey of Health, Ageing and Retirement in Europe (SHARE) which provides a rich dataset on the elderly European population. To obtain distinct indicators for physical and mental health conditions two indices were constructed. Finally, to identify potential reporting heterogeneity in SAH a generalized ordered probit model is estimated. We find evidence that health behaviour as well as health care utilization, mental and physical health condition as well as country characteristics affect reporting behaviour. We conclude that observed and unobserved heterogeneity play an important role when analysing SAH and have to be taken into account.

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File URL: http://mpra.ub.uni-muenchen.de/29900/1/MPRA_paper_29900.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 29900.

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Date of creation: 28 Mar 2011
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Handle: RePEc:pra:mprapa:29900
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  1. Teresa Bago d’Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O’Donnell & Somnath Chatterji, 2006. "Does reporting heterogeneity bias the measurement of health disparities?," Health, Econometrics and Data Group (HEDG) Working Papers 06/03, HEDG, c/o Department of Economics, University of York.
  2. Butler, J S, et al, 1987. "Measurement Error in Self-reported Health Variables," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 644-50, November.
  3. 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.
  4. Hendrik Jürges, 2006. "True Health vs. Response Styles: Exploring Cross-country Differences in Self-reported Health," Discussion Papers of DIW Berlin 588, DIW Berlin, German Institute for Economic Research.
  5. Disney, Richard & Emmerson, Carl & Wakefield, Matthew, 2006. "Ill health and retirement in Britain: A panel data-based analysis," Journal of Health Economics, Elsevier, vol. 25(4), pages 621-649, July.
  6. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
  7. Cristina Hernández-Quevedo & Andrew M Jones & Nigel Rice, 2005. "Reporting bias and heterogeneity in selfassessed health. Evidence from the British Household Panel Survey," Health, Econometrics and Data Group (HEDG) Working Papers 05/04, HEDG, c/o Department of Economics, University of York.
  8. Udo Schneider & Christian Pfarr & Brit Schneider & Volker Ulrich, 2012. "I feel good! Gender differences and reporting heterogeneity in self-assessed health," The European Journal of Health Economics, Springer, vol. 13(3), pages 251-265, June.
  9. Christian Pfarr & Andreas Schmid & Udo Schneider, 2010. "Estimating ordered categorical variables using panel data: a generalized ordered probit model with an autofit procedure," EERI Research Paper Series EERI_RP_2010_43, Economics and Econometrics Research Institute (EERI), Brussels.
  10. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-Point Shift and Index Shift in Self-Reported Health," IZA Discussion Papers 1286, Institute for the Study of Labor (IZA).
  11. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
  12. Maarten Lindeboom & Marcel Kerkhofs, 2009. "Health and work of the elderly: subjective health measures, reporting errors and endogeneity in the relationship between health and work," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(6), pages 1024-1046.
  13. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
  14. Norma B. Coe & Gema Zamarro, 2008. "Retirement Effects on Health in Europe," Working Papers 588, RAND Corporation Publications Department.
  15. Fabrice Etilé & Carine Milcent, 2006. "Income-related reporting heterogeneity in self-assessed health: evidence from France," PSE Working Papers halshs-00590524, HAL.
  16. 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.
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