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I feel good! Gender differences and reporting heterogeneity in self-assessed health

  • Pfarr, Christian
  • Schneider, Brit S.
  • Schneider, Udo
  • Ulrich, Volker

For empirical analysis and policy-oriented recommendation, the precise measurement of individual health or well-being is essential. The problem with variables based on questionnaires such as self-assessed health is that the answer may depend on individual reporting behaviour. Moreover, if individual‟s health perception varies with certain attitudes of the respondent reporting heterogenei-ty may lead to index or cut-point shifts of the health distribution, causing estimation problems. We analyse the reporting behaviour of individuals on their self-assessed health status, a five-point categorical variable. We explore observed heterogeneity in categorical variables and include unob-served individual heterogeneity using German panel data. Estimation results show different im-pacts of socioeconomic and health related variables on the five subscales of self-assessed health. Moreover, the answering behaviour varies between female and male respondents, pointing to gen-der specific perception and assessment of diseases. Reporting behaviour on self-assessed health questions in surveys is problematic due to a possible heterogeneity. Hence, in case of reporting heterogeneity, using self-assessed measures in empirical studies may be misleading or at least ambiguous.

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File URL: http://mpra.ub.uni-muenchen.de/24231/1/MPRA_paper_24231.pdf
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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 24231.

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Date of creation: 03 Aug 2010
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Handle: RePEc:pra:mprapa:24231
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  1. Cristina Hernandez-Quevedo & Andrew M Jones & Nigel Rice, . "Reporting Bias and Heterogeneity in Self-Assessed Health. Evidence from the British Household Panel Survey," Discussion Papers 04/18, Department of Economics, University of York.
  2. 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.
  3. Stefan Boes & Rainer Winkelmann, 2005. "Ordered Response Models," SOI - Working Papers 0507, Socioeconomic Institute - University of Zurich.
  4. Pfarr, Christian & Schmid, Andreas & Schneider, Udo, 2010. "Estimating ordered categorical variables using panel data: a generalized ordered probit model with an autofit procedure," MPRA Paper 23203, University Library of Munich, Germany.
  5. repec:cup:cbooks:9780521194204 is not listed on IDEAS
  6. Lindeboom, Maarten & van Doorslaer, Eddy, 2004. "Cut-point shift and index shift in self-reported health," Journal of Health Economics, Elsevier, vol. 23(6), pages 1083-1099, November.
  7. 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.
  8. 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.
  9. Lindeboom, Maarten & Kerkhofs, Marcel, 2002. "Health and Work of the Elderly: Subjective Health Measures, Reporting Errors and the Endogenous Relationship between Health and Work," IZA Discussion Papers 457, Institute for the Study of Labor (IZA).
  10. Michael Baker & Mark Stabile & Catherine Deri, 2001. "What do Self-Reported, Objective, Measures of Health Measure?," NBER Working Papers 8419, National Bureau of Economic Research, Inc.
  11. 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.
  12. 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.
  13. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
  14. Kenkel, D.S., 1989. "Should You Eat Breakfast? Estimates From Health Production Functions," Papers 9-90-8, Pennsylvania State - Department of Economics.
  15. Gerdtham, Ulf-G & Johannesson, Magnus, 1997. "New Estimates of the Demand for Health: Results Based on a Categorical Health Measure and Swedish Micro Data," SSE/EFI Working Paper Series in Economics and Finance 205, Stockholm School of Economics.
  16. 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.
  17. 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.
  18. repec:cup:cbooks:9780521142373 is not listed on IDEAS
  19. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
  20. 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.
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