“…The dependent variable is the log of the annual salary, for an individual i in year t. The primary coefficient of interest is β 1 , which represents the estimated wage gap for female (Female) relative to male academics. We then followed prior literature (i.e., Ward 2001;Sayre et al 2000;Chen and Crown 2019;Smith-Carrier et al 2021;Kim et al 2023) and added a set of control variables P it as proxies for productivity for an individual i in year t (obtained from Google Scholar, ResearchGate, and the most recent individual CVs), which included the following (up to year t): the log of citations (Cite), the number of books (#Books), the number of chapters/cases (#Ch/Ca), the number of publications in peer-reviewed journals (#PR Pubs), and the number of publications in journals on the Financial Times list (#FT Pubs); a set of control variables F it as proxies for full-time equivalency, which included (for year t) an indicator variable for part-time (PT), the number of semesters of unpaid leave (UL), the number of semesters of study leave (SL), the number of courses taught as an overload or bought out and not taught (OL), and the number of semesters of parental leave (PL); and a set of control variables X it , which included ethnicity controls (indicators for race/ethnicity-African American, Indian, Asian/Pacific Islander, Native American, and Other, including multiple and undisclosed ethnicities, with Caucasian as the omitted category), prior experience controls (indicators for prior academic experience--Prior AE, and prior work experience-Prior WE, and the number of years employed by SFU-#SFU), education controls (indicators for PhD degree-PhD, professional designation and certificate-Des/Cert), and rank and promotion controls (indicators for faculty rank: Assistant-Assist Prof, Associate-Assoc Prof, and Full-Full Prof, with Lecturer and Other-Lect/Other as the omitted category; and indicators for promotions from Lecturer, Assistant, and Associate levels). Table 1 presents the definitions for all the variables utilized in our analysis.…”