Are gender differences related to non-cognitive abilities? ——Evidence from China.

Based on the data from the 2018 China Family Panel Studies data, this paper examines the effect of non-cognitive abilities on gender wages gap in the Chinese labor market. First, use the least squares regression (OLS) method to estimate and analyze the income effect of gender differences. On this basis, the non-conditional quantile (RIF) model is used to analyze the impact of non-cognitive abilities on the gender wage gap. The study found that non-cognitive abilities promote the increase of gender wages. It can be seen from the regression of RIF that non-cognitive abilities has a greater effect on women's wages than men. According to the decomposition of RIF, in the gender wage gap, non-cognitive abilities helps to alleviate the degree of gender discrimination. [ABSTRACT FROM AUTHOR]