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Heterogeneity in reporting self-assessed health of the Russians

Author

Listed:
  • Kaneva, Maria

    () (Gaidar Institute for Economic Policy, Moscow, Russian Federation)

  • Baidin, Valerii

    () (Financial research institute of the Ministry of finance of the Russian Federation, Moscow, Russian Federation)

Abstract

The article aims to analyze a phenomenon of heterogeneity in self-assessed health for the Russian population from 2001 to 2015, to determine types of heterogeneity and to elicit socio-economic and health-rated determinants of heterogeneity. A generalized ordered probit model with random effects and objective diseases index indicated that the determinants of heterogeneity in the Russian Federation are for both genders: marital status, income, incomplete secondary education, living outside urban areas and region of settlement; age also affects the differences in self-reported health for women. Secondary education is also a driver of observed heterogeneity for women while different regions drive cut-point shift heterogeneity for males and females. The study confirms that direct comparison of self-assessed health for different population groups will lead to incorrect conclusions.

Suggested Citation

  • Kaneva, Maria & Baidin, Valerii, 2018. "Heterogeneity in reporting self-assessed health of the Russians," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 51, pages 102-125.
  • Handle: RePEc:ris:apltrx:0351
    as

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    File URL: http://pe.cemi.rssi.ru/pe_2018_51_102-125.pdf
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    References listed on IDEAS

    as
    1. Kim, Younoh, 2015. "The dynamics of health and its determinants among the elderly in developing countries," Economics & Human Biology, Elsevier, vol. 19(C), pages 1-12.
    2. 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.
    3. 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.
    4. Lyytikäinen, Laura & Kemppainen, Teemu, 2016. "Regional inequalities in self-rated health in Russia: What is the role of social and economic capital?," Social Science & Medicine, Elsevier, vol. 161(C), pages 92-99.
    5. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    6. Shmueli, Amir, 2003. "Socio-economic and demographic variation in health and in its measures: the issue of reporting heterogeneity," Social Science & Medicine, Elsevier, vol. 57(1), pages 125-134, July.
    7. Jylhä, Marja, 2009. "What is self-rated health and why does it predict mortality? Towards a unified conceptual model," Social Science & Medicine, Elsevier, vol. 69(3), pages 307-316, August.
    8. 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.
    9. 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.
    10. 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.
    11. Au, Nicole & Johnston, David W., 2014. "Self-assessed health: What does it mean and what does it hide?," Social Science & Medicine, Elsevier, vol. 121(C), pages 21-28.
    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. Christopher J. Gerry & Georgios Papadopoulos, 2015. "Sample attrition in the RLMS, 2001–10," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 23(2), pages 425-468, April.
    14. 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;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(3), pages 251-265, June.
    15. Michael Lokshin & Martin Ravallion, 2008. "Testing for an economic gradient in health status using subjective data," Health Economics, John Wiley & Sons, Ltd., vol. 17(11), pages 1237-1259.
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    More about this item

    Keywords

    heterogeneity; self-assessed health; panel regression; RLMS; Russia.;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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