I study discrimination arising from individual experiences of employers with worker groups. I
present a model in which employers are uncertain about the productivity of one of two …

Abstract The use of Artificial Intelligence (AI) in recruitment is rapidly increasing and
drastically changing how people apply to jobs and how applications are reviewed. In this …

We provide evidence for a bias that we call “representative signal distortion”(RSD), which is
particularly relevant to settings of statistical discrimination. Experimental subjects distort their …

This paper studies a key element of discrimination, namely, when stereotypes translate into
discriminatory actions. Using a hiring experiment, we rule out taste-based discrimination by …

In this paper, we offer a theory of opportunity underexploitation that explains how consumer
disadvantage is coupled to the entrepreneurial process such that market inefficiencies …

This paper offers a market-compatible perspective of the emancipatory entrepreneurship of
marginalized groups. We identify two dimensions of market-emancipation compatibility that …

We analyze data from two universities that allowed students to conceal grades from their
transcripts during the Covid-19 pandemic. Across both institutions, we observe a significant …

We examine patterns of discrimination when employers hold incorrect beliefs about the
relationship between group membership and productivity, and suffer from confirmation bias …

We examine gender biases in the attribution of leaders' outcomes to their choices versus
luck. Leaders make unobservable investment choices that affect the payoffs of group …

We investigate whether gender distorts performance evaluation in environments where
outcomes are determined by unobservable choices and luck. Evaluators form beliefs about …