Prashant Bharadwaj, from University of California San Diego, will present his research. 

Statistical Discrimination and the Distribution of Wages

We characterize the conditions under which the wage distributions for two groups are consistent with a general model of statistical discrimination. We adapt this theoretical characterization to develop a novel empirical test, the rejection of which we interpret as evidence of taste-based discrimination. In doing so, we provide a theoretical foundation via which the wage structure effect in the decomposition of wage distributions can be interpreted as evidence of taste-based discrimination. We provide a proof of concept application using Census and NLSY-79 data, which suggests taste-based discrimination at work against Black male workers in several broad occupation categories.