The Dynamics of Discrimination: Theory and Evidence
Aislinn Bohren (),
Alex Imas () and
Additional contact information
Alex Imas: Department of Social and Decision Sciences, Carnegie Mellon University
Michael Rosenberg: Wayfair
PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania
We model the dynamics of discrimination and show how its evolution can identify the underlying source. We test these theoretical predictions in a ï¬ eld experiment on a large online platform where users post content that is evaluated by other users on the platform. We assign posts to accounts that exogenously vary by gender and evaluation histories. With no prior evaluations, women face signiï¬ cant discrimination. However, following a sequence of positive evaluations, the direction of discrimination reverses: womenâ€™s posts are favored over menâ€™s. Interpreting these results through the lens of our model, this dynamic reversal implies discrimination driven by biased beliefs.
Keywords: Discrimination; Dynamic Behavior; Field Experiment (search for similar items in EconPapers)
JEL-codes: J16 D83 D9 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-exp and nep-gen
Date: 2018-07-01, Revised 2018-07-01
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://economics.sas.upenn.edu/system/files/worki ... per%20Submission.pdf (application/pdf)
Working Paper: The Dynamics of Discrimination: Theory and Evidence (2018)
Working Paper: The Dynamics of Discrimination: Theory and Evidence (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pen:papers:18-016
Access Statistics for this paper
More papers in PIER Working Paper Archive from Penn Institute for Economic Research, Department of Economics, University of Pennsylvania 133 South 36th Street, Philadelphia, PA 19104. Contact information at EDIRC.
Bibliographic data for series maintained by Administrator ().