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

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

Abstract

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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Bibliographic Info

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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Keywords: reporting heterogeneity; generalized ordered probit; self-assessed health;

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References

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  1. 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.
  2. 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.
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  15. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, Elsevier, vol. 22(1), pages 61-87, January.
  16. Disney, Richard & Emmerson, Carl & Wakefield, Matthew, 2006. "Ill health and retirement in Britain: A panel data-based analysis," Journal of Health Economics, Elsevier, Elsevier, vol. 25(4), pages 621-649, July.
  17. 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.
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Citations

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Cited by:
  1. Joachim Frick & Nicolas Ziebarth, 2013. "Welfare-related health inequality: does the choice of measure matter?," The European Journal of Health Economics, Springer, Springer, vol. 14(3), pages 431-442, June.
  2. Furmanov, Kirill & Chernysheva, Irina, 2012. "Health and job search in Russia," Applied Econometrics, Publishing House "SINERGIA PRESS", Publishing House "SINERGIA PRESS", vol. 26(2), pages 62-91.
  3. 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).
  4. Baert, Stijn & Omey, Eddy & Verhaest, Dieter & Vermeir, Aurélie, 2014. "Mister Sandman, Bring Me Good Marks! On the Relationship Between Sleep Quality and Academic Achievement," IZA Discussion Papers 8232, Institute for the Study of Labor (IZA).
  5. 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.

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