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

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  • Udo Schneider

    ()

  • Christian Pfarr
  • Brit Schneider
  • Volker Ulrich

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.

(This abstract was borrowed from another version of this item.)

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Bibliographic Info

Article provided by Springer in its journal The European Journal of Health Economics.

Volume (Year): 13 (2012)
Issue (Month): 3 (June)
Pages: 251-265

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Handle: RePEc:spr:eujhec:v:13:y:2012:i:3:p:251-265

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Related research

Keywords: Reporting heterogeneity; Generalized ordered probit; Self-assessed health; I12; C21;

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References

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Cited by:
  1. 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.
  2. Nicolas R. Ziebarth & Joachim R. Frick, 2010. "Revisiting the Income-Health Nexus: The Importance of Choosing the "Right" Indicator," SOEPpapers on Multidisciplinary Panel Data Research 274, DIW Berlin, The German Socio-Economic Panel (SOEP).
  3. 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.
  4. 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.
  5. 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).

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