Data and Code for: "A Discrimination Report Card"

Principal Investigator(s): View help for Principal Investigator(s) Patrick Kline, University of California, Berkeley; Evan Rose, University of Chicago; Christopher Walters, University of California, Berkeley

Version: View help for Version V1

Name	File Type	Size	Last Modified
replication			04/10/2024 07:42:PM
readme.pdf	application/pdf	79.6 KB	04/29/2024 11:17:AM

Project Citation:

Kline, Patrick, Rose, Evan, and Walters, Christopher. Data and Code for: “A Discrimination Report Card.” Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-01. https://doi.org/10.3886/E198284V1

Project Description

Summary: We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy measurements, balancing the information content of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the race and gender contact gaps of 97 U.S. employers, the identities of which we disclose for the first time. The grades are presented alongside measures of uncertainty about each firm's contact gap in an accessible report card that is easily adaptable to other settings where ranks and levels are of simultaneous interest.

Scope of Project

JEL Classification:
      C11 Bayesian Analysis: General
      C13 Estimation: General
      J71 Labor Discrimination

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Published Versions

V1 [2024-05-01]

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DDI 2.5

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