Code for: Pay Transparency and the Gender Gap

Principal Investigator(s): View help for Principal Investigator(s) Michael Baker, University of Toronto and NBER; Yosh Halberstam, University of Toronto; Kory Kroft, University of Toronto and NBER; Alexandre Mas, Princeton University and NBER; Derek Messacar, Statistics Canada and Memorial University of Newfoundland

Version: View help for Version V1

Name	File Type	Size	Last Modified
Analysis			03/09/2022 08:38:PM
Data			03/09/2022 08:39:PM
Data_Extract			03/09/2022 08:39:PM
Results			03/09/2022 08:39:PM
ado			03/09/2022 08:39:PM
READ-ME.pdf	application/pdf	145 KB	12/09/2022 04:47:PM

Project Citation:

Baker, Michael, Halberstam, Yosh, Kroft, Kory, Mas, Alexandre, and Messacar, Derek. Code for: Pay Transparency and the Gender Gap. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-03-09. https://doi.org/10.3886/E163241V1

Project Description

Summary: We examine the impact of public sector salary disclosure laws on university faculty salaries in Canada. The laws, which enable public access to the salaries of individual faculty if they exceed specified thresholds, were introduced in different provinces at different times. Using detailed administrative data covering the majority of faculty in Canada, and an event-study research design that exploits within-province variation in exposure to the policy across institutions and academic departments, we find robust evidence that the laws reduced the gender pay gap between men and women by approximately 20-40 percent.

Scope of Project

Subject Terms: Pay transparency; Salary disclosure; Gender pay gap

JEL Classification:
J31 Wage Level and Structure; Wage Differentials

Geographic Coverage: Canada

Time Period(s): 1970 – 2018

Universe: Full-time faculty at Canadian universities and colleges.

Data Type(s): administrative records data

Methodology

Response Rate: This dataset is collected from university administrators and has a compulsory participation.

Sampling: This dataset is a population survey and covers all relevant universities and colleges across Canada.

Data Source: This dataset is a survey conducted by Statistics Canada of all relevant universities and colleges across Canada. The data are provided by university administrators from payroll records.

Unit(s) of Observation: Individual

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Published Versions

V1 [2023-03-09]

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