Heterogeneity in reporting self-assessed health of the Russians

Maria Kaneva and Valerii Baidin ()
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Valerii Baidin: Financial research institute of the Ministry of finance of the Russian Federation, Moscow, Russian Federation

Applied Econometrics, 2018, vol. 51, 102-125

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.

Keywords: heterogeneity; self-assessed health; panel regression; RLMS; Russia. (search for similar items in EconPapers)
JEL-codes: C21 C23 I12 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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