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Gender income gap decomposition: Evidence from the Volga Federal District

Vol. 25, Iss. 1, JANUARY 2019

Received: 2 October 2018

Received in revised form: 16 October 2018

Accepted: 30 October 2018

Available online: 29 January 2019

Subject Heading: Financial control

JEL Classification: C31

Pages: 70–85

Ovchinnikov V.N. Macroeconomic Research Center of Financial Research Institute of Ministry of Finance of Russian Federation (FRI), Moscow, Russian Federation

ORCID id: not available

Subject The paper considers the issues of gender income gap breakdown.
Objectives The paper aims to quantify the factors of gender income spread in the Volga Federal District.
Methods For the study, I used a descriptive method, distribution density scheme, the methods of ordinary least squares (OLS) and conditional quantile regressions, as well as the Blinder–Oaxaca decomposition and the Machado-Mata approach.
Results The paper shows that the differentiation in the income of men and women in the Volga Federal District is caused by differences in the market valuation of individual characteristics of their human capital.
Conclusions The paper concludes that market valuation effects of human capital play a dominant role in shaping a gender differentiation in income.

Keywords: decomposition, gender inequality, conditional quantile regression, OLS regression


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