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

2021 ◽  
Author(s):  
Ksenia Rozhkova ◽  
Natalya Yemelina ◽  
Sergey Roshchin
Author(s):  
Rossella Icardi

Context: Existing studies have explored the association between workplace training and wages suggesting that training participation may have a positive association with wages. However, we still know very little about whether this association varies between men and women. Through its potential positive association with wages, training may balance wage differences between men and women. In addition, the gender wage gap varies across the wage distribution. Differences in the association between training participation and wages for men and women across the earnings spectrum may offer an explanation as to why the discrepancy in female/male earnings is larger at some point of the wage distribution compared to others. Approach: Using data from the Programme for International Assessment of Adult Competencies (PIAAC) and unconditional quantile regression, this paper examines whether the association between workplace training and wages differs between men and women at different points of the wage distribution across 14 European countries. To partly control for endogeneity in training participation, detailed measures of cognitive skills have been included in the models. Findings: Findings show gender differences in the association between training and wages across the wage distribution. In most countries, results indicate larger training coefficients for women than men at the lower end of the wage spectrum whereas they are larger for men at the top. This pattern holds across most countries with the only exception of Liberal ones, where women benefit less than men across the entire wage spectrum.Conclusions: The findings of this work reveal that distributional variations in returns to workplace training follow a similar pattern across industrialized countries, despite their different institutional settings. Moreover, differences in training coefficients of men and women at different parts of the wage distribution suggest that training could reduce gender wage differences among low earners and potentially widen the gap in wages among individuals at the top of the wage distribution. 


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dao Dinh Nguyen ◽  
Xinran Zhang ◽  
Trang Huyen Nguyen

PurposeThe objective of this study is to estimate the gender wage gap in Vietnam and its rural and urban areas, especially with the presence of foreign firms.Design/methodology/approachThe authors use cross-sectional data from three rounds of the Vietnam Household Living Standards Survey (VHLSS 2008, 2012, and 2016) to investigate this issue. The unconditional quantile regression and Oaxaca–Blinder (OB) decomposition are used in this article.FindingsThe article finds the gender wage gap favouring men, especially in higher quantiles of the wage distribution. The gap in urban Vietnam was higher than in rural areas. The OB decomposition indicates that gender wage gap is mainly driven by gender discrimination. The differences in return to participation in foreign companies only contributed significantly and positively to such a gap in some models. It suggests that the gap in those models is affected by gender discrimination in employment opportunities in foreign companies. Regarding the endowment effect, some models provide the significantly negative impacts of foreign firms on gender wage inequality.Originality/valueThe study suggests that policies to reduce the gender wage gap should pay more attention to foreign firms, especially at higher wage classes.


2019 ◽  
Vol 46 (4) ◽  
pp. 872-887
Author(s):  
Eiji Yamamura

Purpose The purpose of this paper is to examine how gender equality influences difference in cognitive skills between genders. For the closer examination of Guiso et al. (2008), restricting the sample to immigrants allows us to reduce the possibility of reverse causality. Design/methodology/approach Using PISA 2012 matched with the gender wage gap sourced from World Economic Forum’s Global Gender Index 2011, the author compares the effect of the wage gap among the areas of mathematics, science and reading. Findings Decreased gender wage gap leads to girls exhibiting a reduced incidence of lateness and skipping school compared with boys, which in turn improves girls’ test scores in mathematics, science and reading. The direct effect of the decreased wage gap on test scores exceeds its indirect effect on performance owing to influencing school attendance. Originality/value The findings of this paper provide evidence that higher female wage level relative to male wage level incentivizes female students to attend school, resulting in their achieving higher test scores not only for mathematics, but also for science and reading.


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