Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/223247
Authors: 
Barron, Kai
Ditlmann, Ruth
Gehrig, Stefan
Schweighofer-Kodritsch, Sebastian
Year of Publication: 
2020
Series/Report no.: 
WZB Discussion Paper No. SP II 2020-306
Publisher: 
Wissenschaftszentrum Berlin für Sozialforschung (WZB), Berlin
Abstract: 
Understanding discrimination is key for designing policy interventions that promote equality in society. Economists have studied the topic intensively, typically taxonomizing discrimination as either taste-based or (accurate) statistical 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 clearly they reveal the decision-maker's gender bias. Our analysis highlights the central role played by contextual features of the choice environment in determining whether and how discrimination will manifest. We conclude by discussing how policy makers may design effective regulation to address specific forms of discrimination.
Subjects: 
Discrimination
Hiring Decisions
Gender
Beliefs
Experiment
JEL: 
D90
J71
D83
Document Type: 
Working Paper

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