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Job Search and the Gender Wage Gap

Paper Session

Sunday, Jan. 8, 2023 1:00 PM - 3:00 PM (CST)

Hilton Riverside, Grand Salon D Sec 21
Hosted By: American Economic Association
  • Chair: Andreas I. Mueller, University of Texas-Austin

Understanding the Contribution of Firms to the Gender Wage Gap Over Time, Over the Life Cycle and Across Worker Types

Marco Palladino
,
Sciences Po
Alexandra Roulet
,
INSEAD
Mark Stabile
,
INSEAD

Abstract

Evidence across many jurisdictions suggests that firm pay premiums contribute meaningfully to the gender wage gap and that this is largely driven by sorting of women into lower paying firms rather than within firm gender differences in pay premiums. We build on this evidence using a cluster-based approach which allows us to relax the usual sample restrictions, to use repeated 2 year panels to examine how the contribution of firms to the gender wage gap has changed over time, to compute age-specific estimates of the gender gap in firm pay premiums to document changes over the life cycle, and to explore whether there are complementarities between worker types and firm effects and how these differ by gender. We show that lifting the dual connected set restriction reveals a slightly larger contribution of firms to the gender wage gap, driven by a higher within firm component. Further, the gender gap in firm pay premiums remained fairly constant between 1995 and 2015 (as did the decomposition of this gap) but represents an increasing share of the unconditional gender wage gap over time. It increases with age, exclusively driven by an increase of the sorting of women into lower paying firms. Finally we find limited evidence of complementarities for both men and women.

Gender Differences in Job Search Behavior and the Gender Earnings Gap: Evidence from Business Majors

Patricia Cortes
,
Boston University
Laura Pilossoph
,
Federal Reserve Bank of New York
Jessica Pan
,
National University of Singapore
Basit Zafar
,
University of Michigan

Abstract

To understand gender differences in the job search process, we collect rich information on job offers and acceptances from past and current undergraduates of Boston University's Questrom School of Business. We document two novel empirical facts: (1) there is a clear gender difference in the timing of job offer acceptance, with women accepting jobs substantially earlier than men, and (2) the gender earnings gap in accepted offers narrows in favor of women over the course of the job search period. Using survey data on risk preferences and beliefs about expected future earnings, we present empirical evidence that the patterns in job search can be partly explained by the higher levels of risk aversion displayed by women and the higher levels of overoptimism (and slower belief updating) displayed by men. We develop a job search model that incorporates these gender differences in risk aversion and (over)optimism about prospective offers. Our counterfactual exercises show that simple policies such as eliminating ``exploding offers" by allowing students to hold onto offers for an additional month, or providing them with accurate information about the labor market, can reduce the gender gap significantly.

On-The-Job Search and the Gender Wage Gap

Jason Faberman
,
Federal Reserve Bank of Chicago
Andreas I. Mueller
,
University of Texas-Austin
Aysegul Sahin
,
University of Texas-Austin

Abstract

This paper documents gender differences in the process of on-the-job search and quantifies the contribution of these differences to the gender wage gap. Job-to-job transitions are often associated with large wage gains and dissatisfaction with pay and benefits has been shown to be an import factor in the decision to search for a new and better job. For these reasons, on-the-job search likely contributes to the existing gender wage gaps. To shed light on this, we document new facts about job-to-job transitions and the process of on-the-job search using novel data from the Job Search Supplement of the Survey of Consumer Expectations (SCE), which asks a rich set of questions about the job search process to both non-employed and employed job seekers. We document that employed women spend more time searching for another job than men, but their search effort is less elastic to their current wage. We set up a search model with on-the-job search, endogenous search effort and non-wage amenities and calibrate it towards these facts. Our model calibration suggests that women face both a flatter and more slippery wage ladder, each of which is contributing to sizeable differentials in wages by gender.

The Central Role of the Ask Gap in Gender Pay Inequality

Nina Roussille
,
London School of Economics

Abstract

The gender ask gap measures the extent to which women ask for lower salaries than comparable men. This paper studies the role of the ask gap in generating wage inequality, using novel data from Hired.com, an online recruitment platform for full-time engineering jobs in the United States. To use the platform, job candidates must post an ask salary, stating how much they want to make in their next job. Firms then apply to candidates by offering them a bid salary, solely based on the candidate’s resume and ask salary. If the candidate is hired, a final salary is recorded. After adjusting for resume characteristics, the ask gap is 2.9%, the gap in bid salaries is 2.2%, and the gap in final offers is 1.4%. Remarkably, further controlling for the ask salary explains the entirety of the residual gender gaps in bid and final salaries. To estimate the market-level effects of an increase in women’s ask salaries, I exploit an unanticipated change in how candidates were prompted to provide their ask. For some candidates in mid-2018, the answer box used to solicit the ask salary was changed from an empty field to an entry pre-filled with the median bid salary for similar candidates. Using an interrupted time series design, I find that this change drove the ask gap, the bid and the final offer gap to zero. In addition, women did not receive fewer bids or final offers than men did due to the change, suggesting they faced little penalty for demanding wages comparable to men.
JEL Classifications
  • J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers
  • J3 - Wages, Compensation, and Labor Costs