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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.

Suggested Citation

  • 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.
  • Handle: RePEc:pra:mprapa:24231
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    References listed on IDEAS

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    1. Marcel Kerkhofs & Maarten Lindeboom, 2000. "Health and Work of the Elderly: Subjective Health Measures, Reporting Errors and the Endogenous Relationship Between Health and Work," Econometric Society World Congress 2000 Contributed Papers 0653, Econometric Society.
    2. repec:cup:apsrev:v:97:y:2003:i:04:p:567-583_00 is not listed on IDEAS
    3. Michael Baker & Mark Stabile & Catherine Deri, 2004. "What Do Self-Reported, Objective, Measures of Health Measure?," Journal of Human Resources, University of Wisconsin Press, vol. 39(4).
    4. Stefan Boes & Rainer Winkelmann, 2006. "Ordered response models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 167-181, March.
    5. 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 644-650, November.
    6. repec:cup:apsrev:v:98:y:2004:i:01:p:191-207_00 is not listed on IDEAS
    7. Cristina Hernandez-Quevedo & Andrew M Jones & Nigel Rice, "undated". "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.
    8. Teresa Bago d'Uva & Eddy Van Doorslaer & Maarten Lindeboom & Owen O'Donnell, 2008. "Does reporting heterogeneity bias the measurement of health disparities?," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 351-375.
    9. Nicolas R. Ziebarth, 2009. "Measurement of Health, the Sensitivity of the Concentration Index, and Reporting Heterogeneity," SOEPpapers on Multidisciplinary Panel Data Research 211, DIW Berlin, The German Socio-Economic Panel (SOEP).
    10. 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.
    11. Christian Pfarr & Andreas Schmid & Udo Schneider, 2011. "Estimating ordered categorical variables using panel data: a generalized ordered probit model with an autofit procedure," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 54(1), pages 7-23.
    12. 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.
    13. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204, April.
    14. 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.
    15. 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.
    16. 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.
    17. Kenkel, D.S., 1989. "Should You Eat Breakfast? Estimates From Health Production Functions," Papers 9-90-8, Pennsylvania State - Department of Economics.
    18. Ziebarth, Nicolas, 2010. "Measurement of health, health inequality, and reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 71(1), pages 116-124, July.
    19. Gerdtham, Ulf-G. & Johannesson, Magnus, 1999. "New estimates of the demand for health: results based on a categorical health measure and Swedish micro data," Social Science & Medicine, Elsevier, vol. 49(10), pages 1325-1332, November.
    20. 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.
    21. 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.
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    Cited by:

    1. Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2015. "Health status and the allocation of time: Cross-country evidence from Europe," Economic Modelling, Elsevier, vol. 46(C), pages 188-203.
    2. J. Gimenez-Nadal & Jose Molina, 2016. "Health inequality and the uses of time for workers in Europe: policy implications," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    3. repec:eee:joecag:v:9:y:2017:i:c:p:52-62 is not listed on IDEAS
    4. 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).
    5. Caroli, Eve & Weber-Baghdiguian, Lexane, 2016. "Self-reported health and gender: The role of social norms," Social Science & Medicine, Elsevier, vol. 153(C), pages 220-229.
    6. Baert, Stijn & Omey, Eddy & Verhaest, Dieter & Vermeir, Aurélie, 2015. "Mister Sandman, bring me good marks! On the relationship between sleep quality and academic achievement," Social Science & Medicine, Elsevier, vol. 130(C), pages 91-98.
    7. Joachim Frick & Nicolas Ziebarth, 2013. "Welfare-related health inequality: does the choice of measure matter?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 431-442, June.
    8. Furmanov, Kirill & Chernysheva, Irina, 2012. "Health and job search in Russia," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 26(2), pages 62-91.
    9. Constant, Amelie F. & García-Muñoz, Teresa & Neuman, Shoshana & Neuman, Tzahi, 2015. "A "Healthy Immigrant Effect" or a "Sick Immigrant Effect"? Selection and Policies Matter," IZA Discussion Papers 9338, Institute for the Study of Labor (IZA).
    10. Kamila Cygam-Rehm & Christoph Wunder, 2018. "Do Working Hours Affect Health? Evidence from Statutory Workweek Regulations in Germany," SOEPpapers on Multidisciplinary Panel Data Research 967, DIW Berlin, The German Socio-Economic Panel (SOEP).
    11. 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.
    12. repec:eee:socmed:v:187:y:2017:i:c:p:58-66 is not listed on IDEAS
    13. Caroli, Eve & Weber-Baghdiguian, Lexane, 2016. "Self-reported health and gender: The role of social norms," Social Science & Medicine, Elsevier, vol. 153(C), pages 220-229.
    14. Yang, Qingqing & Rosenman, Robert, 2015. "Adjusting Self-Assessed Health for Potential Bias Using a Random-Effects Generalized Ordered Probit model," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205217, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    15. Fredrik Ødegaard & Pontus Roos, 2013. "Measuring Worksite Health Promotion Programs: an application of Structural Equation Modeling with ordinal data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(4), pages 639-653, August.
    16. repec:spr:eujhec:v:19:y:2018:i:1:d:10.1007_s10198-017-0870-1 is not listed on IDEAS
    17. Kokot, Johanna, 2017. "Does a spouse's health shock influence the partner's risk attitudes?," Ruhr Economic Papers 707, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

    More about this item

    Keywords

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

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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