Returns to schooling in Russia and Ukraine: Comparative analysis

Marina Arkhipova (), Alexey Egorov () and Viacheslav Sirotin ()
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Marina Arkhipova: National Research University Higher School of Economics, Moscow, Russian Federation;
Alexey Egorov: National Research University Higher School of Economics, Moscow, Russian Federation;
Viacheslav Sirotin: National Research University Higher School of Economics, Moscow, Russian Federation;
Authors registered in the RePEc Author Service: Marina Urievna Arhipova

Applied Econometrics, 2017, vol. 47, 100-122

Abstract: The paper is focused on the measuring of return to education. This measure reflects the yield of investments in human capital. The analysis is based on estimation of the modified Mincer’s type equations by means of quantile regressions for panel data. Along with quantile regressions estimation we consider the models of the joint distribution of wage and education duration based on copulas. The methodological approach used in the study allows comparing the significance of the factors included in the model for the wage formation. Also it allows investigating the structure of the relationship between wage and education and answering the question devoted to the following dilemma – in which country return to education was higher after the decade of independent development.

Keywords: capitalization of professional knowledge; quantile regression; wage; longitudinal data (search for similar items in EconPapers)
JEL-codes: C51 I26 J24 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:ris:apltrx:0326

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