Publication: Returns to Education in the Russian Federation: Does Depreciation Explain Some Recent Trends?
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2020-06-09
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2020-09-16
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This paper explores the topic of depreciation of human capital as a possible explanation for observed trends in the returns to education in the Russian Federation. Estimates of depreciation are presented for various sample groups. Depreciation first decreased and then increased in the period 1994-2018. University educated workers add human capital even after they stop full-time studies; this happens less with vocational graduates.
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“Melianova, Ekaterina; Parandekar, Suhas; Volgin, Artem. 2020. Returns to Education in the Russian Federation: Does Depreciation Explain Some Recent Trends?. © World Bank. http://hdl.handle.net/10986/34454 License: CC BY 3.0 IGO.”
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Publication Returns to Education in the Russian Federation(World Bank, Washington, DC, 2020-06-09)This paper presents new estimates of the returns to education in the Russian Federation. Private returns to education are three times greater for higher education compared to vocational education, and the returns to education for females are higher than for males. Returns for females show an inverse U-shaped curve over the past two decades. Female education is a policy priority and there is a need to investigate the labor market relevance of vocational education. Higher education may have reached an expansion limit and it may be necessary to investigate options for increasing the productivity of schooling.Publication Returns to Education in the Russian Federation(World Bank, Washington, DC, 2020-09)This paper presents new estimates of the returns to education in the Russian Federation using data from 1994 to 2018. Although the returns to schooling increased for a time, they are now much lower than the global average. Private returns to education are three times greater for higher education compared with vocational education, and the returns to education for females are higher than for males. Returns for females show an inverse U-shaped curve over the past two decades. Female education is a policy priority and there is a need to investigate the labor market relevance of vocational education. Higher education may have reached an expansion limit, and it may be necessary to investigate options for increasing the productivity of schooling.Publication Returns to Education in the Russian Federation(World Bank, Washington, DC, 2020-06-09)This paper used institution level information about graduate earnings and estimates of fiscal and private costs to obtain fiscal and private returns to education using an internal rate of return calculation. As data has been collected so far only on earnings trajectories for three years following graduation, these are not lifetime returns, but they are adequate to provide relative estimates. Samara Energy College with private returns of 35 percent and fiscal returns of 13 percent leads the list of colleges. V.R. Fillipova Buryat State Agricultural Academy in Ulan Ude leads the universities list with private returns of 9 percent and fiscal return of 7 percent. Even though only preliminary results are presented here, the data length and model sophistication can only grow in the future. The resulting information on returns to investment will serve government stakeholders as well as individual students.Publication Returns to Education in the Russian Federation(World Bank, Washington, DC, 2020-06-09)This paper uses regionally representative household survey data to determine the rates of return to education in different regions. Returns show a wide dispersion together with the labor market context. The paper’s policy recommendations will be particularly helpful to support human capital development of federally targeted economically and socially depressed regions.Publication Gender Gap in Pay in the Russian Federation(World Bank, Washington, DC, 2015-08)This paper decomposes the gender gap in pay in the Russian Federation along the earnings distribution for the period 1996–2011. The analysis uses a reweighted, recentered influence function decomposition that allows estimating the contribution of each covariate on the wage structure and composition effects along the earnings distribution. The paper finds that women are in flat career paths compared with men; the importance of observable characteristics that proxy human capital in the gender pay gap decrease along the earnings distribution; and if women’s pay took into account their educational degrees as much as men’s, the gender pay gap would disappear or even reverse at the top of the earnings distribution. The results suggest that women at the bottom of the earnings distribution should be helped to increase their labor market skills, and women at the top of the distribution should be helped to break the glass ceiling and be remunerated for their skills to the same extent as men.
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