Can Non-Cognitive Skills Explain The Gender Wage Gap In Russia? An Unconditional Quantile Regression Approach

Ksenia Rozhkova (), Natalya Yemelina () and Sergey Roshchin ()
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Ksenia Rozhkova: National Research University Higher School of Economics
Natalya Yemelina: National Research University Higher School of Economics
Sergey Roshchin: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: Non-cognitive skills are widely recognized in economics as an important factor that affects various individual outcomes, including wages and employment. Non-cognitive skills can also serve as an additional explanation for the gender wage gap. This paper disentangles the complex relationship between non-cognitive skills and the gender wage gap based on Russian data. Data are collected from a nationally representative Russian survey RLMS-HSE and include detailed information on individuals aged 20–60. We use the Big Five factor model, locus of control, and attitudes towards risk to represent non-cognitive skills. Our findings suggest that non-cognitive skills account for up to 8 per cent of the gender wage gap, although significant variation is observed with different measures of personality and across the wage distribution. We conclude that personality traits are noteworthy but not exhaustive factors in the gender wage gap, and there are other unobserved factors which researchers have yet to identify.

Keywords: gender wage gap; non-cognitive skills; personality traits; unconditional quantile regression; Russia (search for similar items in EconPapers)
JEL-codes: J16 J24 J31 (search for similar items in EconPapers)
Pages: 61 pages
Date: 2021
New Economics Papers: this item is included in nep-cis, nep-gen, nep-lma, nep-neu and nep-tra
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Published in WP BRP Series: Economics / EC, October 2021, pages 1-61

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