We propose a specification test for a wide range of parametric models for the conditional distribution function of an outcome variable given a vector of covariates. The test is based on the Cramer-von Mises distance between an unrestricted estimate of the joint distribution function of the data,...

The informal sector plays an important role in the functioning of labor markets in emerging economies. To characterize better this highly heterogeneous sector, we conduct a distributional analysis of the earnings gap between informal and formal employment in Brazil, Mexico and South Africa,...

In this paper, we report the results of a meta-analysis of 670 estimates extracted from 53 previous research works to estimate the gender wage gap in European emerging markets. A meta-synthesis of collected estimates exhibits that the gender differences have a statistically significant and...

We use data from a large web-based job platform to study how the price of remote work is determined in a globalized labor market. In the platform, workers from around the world compete for jobs that can be done remotely. We document that, despite the global nature of the marketplace, the...

We analyze the empirical content of the Roy model, stripped down to its essential features, namely sector specific unobserved heterogeneity and self-selection on the basis of potential outcomes. We characterize sharp bounds on the joint distribution of potential outcomes and testable...