The gender pay gap： Review and update

This paper explores the research behind the wage gap between men and women, the reasons for and extent of the gap, and strategies for dealing with gender pay discrepancies. Historically, gender discrimination was the traditional and easy explanation for pay discrepancies, but more aggressive enforcement of equal pay legislations has virtually diminished the validity of rationalizing the existence of pay differences solely on gender. Statistical data surrounding the pay gap point to other factors as more causal instruments that sustain and perpetuate the gap in spite of more than forty years of enforcement of equal pay legislations. The choices we make seem to predict and explain current wage gaps better than blatant gender discrimination does, and policies directed at improving those choices appear to be better strategic tools in closing the wage gap.

Labour market segmentation by ownership type and gender wage gap in urban China:evidence from CHIP2013

This paper explores the labour market segmentation by ownership type and its impact on the gender wage gap in urban China.Using the latest data of the China Household Income Project(CHIP)survey conducted in 2014(CHIP2013)and based on the Brown et al.model,I employ the decomposition analysis in this study.It is found that although both inter-sector differentials and intra-sector differentials affect the gender wage gap,the effect of intra-sector differentials is greater.In addition,in considering the effect of intra-sector differentials,the influence of unexplained differentials is greater than that of explained differentials.The results indicate that when other factors are held constantly,discrimination against female workers in a given sector is more serious,which is the main factor that causes the gender wage gap in urban China.

Statistical Discrimination and Gender Wage Gap： A Model

In this paper, I extend the model in Coate and Loury （CL） （1993） to show how statistical discrimination by employers can help create gender wage gap for men and women with equal earning potentials. Given that employers do not perfectly ob- serve a worker＇s skill type and partly rely on the average skills level of his （her） peers for inference purpose, employers＇ differential treatment of male and female workers can create different skill-investment incentives for them, which in turn justify em- ployers＇ discrimination in the first place. The second result of this paper which is not possible within the original CL framework is that I point to the possibility that there exist circumstances under which the gender wage gap can not be eliminated without the formerly advantaged sex being negatively affected.

Does Fin tech Narrow the Gen der Wage Gap?Evidence from China

Information and communication technology promotes the rapid development of fintech,which has a far-reaching impact on wage distribution in China.Using data from the Chinese General Social Survey and the Index of Digital Financial Inclusion,this study examines the impact of fin tech on the gender wage gap.We find that fin tech(i)narrows the gender wage gap;(ii)reduces capital constraints and operating costs,thereby promoting female entrepreneurship,driving more women into employment,and enabling women to increase their wages and bargaining power within the household;and(iii)positively impacts the wages of women(and men)who have lower family economic status,and helps women(but not men)counter the risk of decline in wages caused by childbearing and caring under the two-child policy.These findings have important policy implications and provide evidence of women s improving economic conditions leading to a reduced gender wage gap.