Correspondence studies are nowadays viewed as the most compelling avenue to test for hiring discrimination. However, these studies suffer from one fundamental methodological problem, as formulated by Heckman and Siegelman (The Urban Institute audit studies: Their methods and findings. In M. Fix,...

We investigate the importance of employer preferences in explaining Sticky Floors, the pattern that women are, compared to men, less likely to start to climb the job ladder. To this end we perform a randomised field experiment in the Belgian labour market and test whether hiring discrimination...

We use nationally representative data from the Employment-Unemployment Surveys in 1999-2000 and 2009-10 to explore gender wage gaps among Regular Wage/Salaried (RWS) workers in India, both at the mean, as well as along the entire wage distribution to see "what happens where". The gender log wage...

We study gender differences in the labor market reallocation of Peruvian workers in response to trade liberalization. The empirical strategy relies on variation in import competition across local labor markets based on their industrial composition before China entered the global market in 2001....

This paper considers various dimensions and sources of gender inequality and presents policies and best practices to address these. With women accounting for fifty percent of the global population, inclusive growth can only be achieved if it promotes gender equality. Despite recent progress,...

In this paper, we examine the gender discrimination issue in the promotion process of CPAs under the background of CPA firms’ organizational transformation in China. We find that there are significant gender differences when CPAs are promoted to the partner position. We further explore whether...

Using a field experiment in India where patients are randomly assigned to rank among a set of physicians of the same gender but with different castes and years of experience, we show that the differences in patients' physician choices are consistent with gender-based statistical discrimination....