discrimination. To reveal the limitations of this taxonomy and enrich it psychologically, we design a hiring experiment that rules … out both of these sources of discrimination with respect to gender. Yet, we still detect substantial discrimination … rely on statistically inaccurate beliefs but differ in how clearly they reveal that the choice was based on gender. Our …

discrimination. To reveal the limitations of this taxonomy and enrich it psychologically, we design a hiring experiment that rules … out (by design) both of these sources of discrimination with respect to gender. Yet, we still detect substantial …. Both rely on statistically inaccurate beliefs but differ in how clearly they reveal that the choice was based on gender …

discrimination. To reveal the limitations of this taxonomy and enrich it psychologically, we design a hiring experiment that rules … out (by design) both of these sources of discrimination with respect to gender. Yet, we still detect substantial …. Both rely on statistically inaccurate beliefs but differ in how clearly they reveal that the choice was based on gender …

. Using a hiring experiment, we rule out taste-based discrimination by design and test for the presence of two types of belief …-based gender discrimination. We document evidence of explicit discriminators-individuals who are willing to discriminate even when … their hiring choices are highly revealing of their gender-biased beliefs. Crucially, we also identify implicit …

discrimination. To enrich this taxonomy, we design a hiring experiment that rules out both of these sources of discrimination along … the gender dimension. Yet, we still detect substantial discrimination against women. We provide evidence of two forms of … discrimination, explicit and implicit belief-based discrimination. Both rely on statistically inaccurate beliefs but differ in how …

discrimination in job applicant assessments and test treatments to help improve hiring of the best applicants. In our experiment, we … resumes. We find evidence consistent with inaccurate statistical discrimination: while there are no significant gender …Women are significantly underrepresented in the technology sector. We design a field experiment to identify statistical …

discrimination. To reveal the limitations of this taxonomy and enrich it psychologically, we design a hiring experiment that rules … out both of these sources of discrimination with respect to gender. Yet, we still detect substantial discrimination … rely on statistically inaccurate beliefs but differ in how clearly they reveal that the choice was based on gender. Our …

In an artefactual field experiment, we implemented a crowdfunding campaign for an institute's summer party and compared … contribution framing responded more strongly to reward thresholds and suggestions. An additional survey experiment on MTurk …

find no evidence of gender discrimination in either treatment, however, possibly indicating that gender stereotypes are of …If individual abilities are imperfectly observable, statistical discrimination may affect hiring decisions. In our lab … experiment, pairs of subjects solve simple mathematical problems. Subjects then hire others to perform similar tasks. Before …

performance measures does not reduce the gender gap. Our second experiment removed video interaction, and compared blind to non …-blind evaluations. No gender gap is present in either case. These results rule out traditional economic models of discrimination … administrative data to understand what drives gender bias in such evaluations in the technology industry. Our results highlight the …