Heterogeneity Estimation of Self-Assessed Health

Student: Tkach Ekaterina

Supervisor: Ekaterina Aleksandrova

Faculty: St.Petersburg School of Economics and Management

Educational Programme: Applied Economics and Mathematical Methods (Master)

Year of Graduation: 2017

Self-assessed health (SAH) is one of the basic measures of individual health status. Additionally, it is quite frequently to meet the problem of heterogeneity that should be controlled during the analysis. This problem has many difficulties and limitations as of specific nature appeared from estimation among different countries. Our paper has to be explored this problem through RLMS data from 1994 to 2015 as the most suitable database for empirical investigation. Based on probit and ordered probit models with fixed effects, three hypotheses have been put forward for verification of heterogeneity in self-assessed health. The main results confirmed the existence of heterogeneity that is artificially created through the questionnaire. Furthermore there are gender differences in self-assessed health estimated by a set of control variables. Key words: Self-Assessed Health, heterogeneity, RLMS

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