Dataset Information

Firm Pay Policies and the Gender Earnings Gap: The Mediating Role of Marital and Family Status.

ABSTRACT: Using data from the Canadian Employer-Employee Dynamics Database between 2001 and 2015, the authors examine the impact of firms' hiring and pay-setting policies on the gender earnings gap in Canada. Consistent with the existing literature and following Card, Cardoso, and Kline (2016), findings show that firm-specific premiums explain nearly one-quarter of the 26.8% average earnings gap between female and male workers. On average, firms' hiring practices, due to differences in the relative proportion of women hired at high-wage firms (known as sorting), and pay-setting policies, due to differences in pay by gender within similar firms, each explain approximately one-half of this firm effect. The compositional difference between the two channels varies substantially over a worker's life cycle, by parental and marital status, and across provinces.

SUBMITTER: Li J

PROVIDER: S-EPMC9693727 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature

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Firm Pay Policies and the Gender Earnings Gap: The Mediating Role of Marital and Family Status.

Li Jiang J Dostie Benoit B Simard-Duplain Gaëlle G

Industrial & labor relations review 20220430 1

Using data from the Canadian Employer-Employee Dynamics Database between 2001 and 2015, the authors examine the impact of firms' hiring and pay-setting policies on the gender earnings gap in Canada. Consistent with the existing literature and following Card, Cardoso, and Kline (2016), findings show that firm-specific premiums explain nearly one-quarter of the 26.8% average earnings gap between female and male workers. On average, firms' hiring practices, due to differences in the relative propor ...[more]

PMID: 36444238

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Project description:BackgroundThe gender gap in physician pay is often attributed in part to women working fewer hours than men, but evidence to date is limited by self-report and a lack of detail regarding clinical revenue and gender differences in practice style.MethodsUsing national all-payer claims and data from electronic health records, we conducted a cross-sectional analysis of 24.4 million primary care office visits in 2017 and performed comparisons between female and male physicians in the same practices. Our primary independent variable was physician gender; outcomes included visit revenue, visit counts, days worked, and observed visit time (interval between the initiation and the termination of a visit). We created multivariable regression models at the year, day, and visit level after adjustment for characteristics of the primary care physicians (PCPs), patients, and types of visit and for practice fixed effects.ResultsIn 2017, female PCPs generated 10.9% less revenue from office visits than their male counterparts (-$39,143.2; 95% confidence interval [CI], -53,523.0 to -24,763.4) and conducted 10.8% fewer visits (-330.5 visits; 95% CI, -406.6 to -254.3) over 2.6% fewer clinical days (-5.3 days; 95% CI, -7.7 to -3.0), after adjustment for age, academic degree, specialty, and number of sessions worked per week, yet spent 2.6% more observed time in visits that year than their male counterparts (1201.3 minutes; 95% CI, 184.7 to 2218.0). Per visit, after adjustment for PCP, patient, and visit characteristics, female PCPs generated equal revenue but spent 15.7% more time with a patient (2.4 minutes; 95% CI, 2.1 to 2.6). These results were consistent in subgroup analyses according to the gender and health status of the patients and the type and complexity of the visits.ConclusionsFemale PCPs generated less visit revenue than male colleagues in the same practices owing to a lower volume of visits, yet spent more time in direct patient care per visit, per day, and per year. (Funded in part by the Robert Wood Johnson Foundation.).

Dataset Information

Firm Pay Policies and the Gender Earnings Gap: The Mediating Role of Marital and Family Status.

Publications

Firm Pay Policies and the Gender Earnings Gap: The Mediating Role of Marital and Family Status.

Similar Datasets

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