Artikel

Measuring links between labor monopsony and the gender pay gap in Brazil

This paper focuses on gender differences in job mobility and earnings for workers in Brazil. Monopsony theory suggests a link between the wage elasticity of labor supply and wage penalties. Should one group of workers be less elastic in their supply choices, that group is predicted to earn less than others. To measure wage elasticity, I estimate a hazard model on voluntary job separations using the RAIS, a linked employer-employee dataset that captures formal-sector workers' job durations over time. Four models are specified and point to significant gender differences. Across the models, male elasticity ranges from 1.638 to 2.175 while female elasticity ranges from 1.22 to 1.502. The female wage penalty predicted by these elasticity differences ranges from 11.4 to 20.5%, compared to an actual gender wage difference of 16.4%. Results of higher male elasticity are robust to the use of a more parsimonious specification, a discrete-time approach, the use of job spell data for a single year, and disaggregation by region. I extend the model through decomposition methods to help clarify the association between earnings, job separations, and elasticity.

Sprache
Englisch

Erschienen in
Journal: IZA Journal of Development and Migration ; ISSN: 2520-1786 ; Volume: 7 ; Year: 2017 ; Issue: 10 ; Pages: 1-28 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Wage Level and Structure; Wage Differentials
Monopsony; Segmented Labor Markets
Unemployment: Models, Duration, Incidence, and Job Search
Hypothesis Testing: General
Unemployment: Models, Duration, Incidence, and Job Search
Thema
Gender wage gap
Labor supply
Monopsony
Separation elasticity
Brazil

Ereignis
Geistige Schöpfung
(wer)
Vick, Brandon
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2017

DOI
doi:10.1186/s40176-017-0099-x
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

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Objekttyp

  • Artikel

Beteiligte

  • Vick, Brandon
  • Springer

Entstanden

  • 2017

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