Data and code for: Do Workers Comply with Salary History Bans? A Survey on Voluntary Disclosure, Adverse Selection, and Unraveling

Principal Investigator(s): View help for Principal Investigator(s) Laura Gee, Tufts University; Amanda Agan, Rutgers University; Bo Cowgill, Columbia University

Version: View help for Version V1

Name	File Type	Size	Last Modified
AganCowgillGee README.pdf	application/pdf	50.7 KB	08/10/2020 02:01:PM
AganCowgillGee-p-and-p-survey-results.do	text/x-stata-syntax	4.8 KB	08/07/2020 05:16:AM
AganCowgillGee_DataPnP.dta	application/x-stata	398.6 KB	02/28/2020 09:32:AM
p-and-p-tabstat.do	text/x-stata-syntax	1.6 KB	08/07/2020 05:21:AM

Project Citation:

Gee, Laura, Agan, Amanda, and Cowgill, Bo. Data and code for: Do Workers Comply with Salary History Bans? A Survey on Voluntary Disclosure, Adverse Selection, and Unraveling. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-09-10. https://doi.org/10.3886/E120572V1

Project Description

Summary: Salary history bans forbid employers from asking job candidates to disclose their salaries. However, applicants can still volunteer this information. Our theoretical model predicts that the effect of these laws varies by how workers comply. Our survey of Americans in the labor force finds candidates fall into three compliance types: 25 percent always disclose their salary whether asked or not, 17 percent never disclose, and 58 percent comply with the ban. Importantly, compliance type varies by demographics (e.g. always-disclosers are more male, compliers are more female), and workers are more likely to disclose as others do the same, which suggests unraveling.

Scope of Project

Subject Terms: Labor; Survey; Workers

JEL Classification:
      D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
      J16 Economics of Gender; Non-labor Discrimination
      J71 Labor Discrimination

Geographic Coverage: United States

Time Period(s): 11/2019 – 11/2019

Universe: Americans in the labor force

Data Type(s): survey data

Collection Notes: We contracted with the survey firm Prolific.

Methodology

Collection Mode(s): web-based survey

Unit(s) of Observation: Individual

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Published Versions

V1 [2020-09-10]

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