The gender wage gap in Peru: drivers, evolution, and heterogeneities

Giannina Vaccaro, María Pía Basurto, Arlette Beltrán, Mariano Montoya

Research output: Contribution to journalArticle in a journalpeer-review

5 Scopus citations

Abstract

Despite the recent economic growth and gender equality improvement in educational attainment, important gender disparities remain in the Peruvian labour market. This article provides a comprehensive overview of the Peruvian gender wage gap evolution during 2007–2018 and identifies key elements that explain its patterns. First, the article shows that the raw wage gap showed an upward trend between 2007–2011, ranging from 6% to 12%, and remaining around that top bound ever since. Second, using Oaxaca‐Blinder decomposition we find that the unexplained wage gap has remained virtually unchanged at around 17% during the study period. Reductions in endowment differences between men and women coupled with a stagnant unexplained gap led to slightly larger raw wage gaps over time. Moreover, the stagnant unexplained gap suggests the presence of structural problems regarding social norms, gender stereotyping and potential discrimination that affects the wage gap. Third, we show that both at a national and regional level, gender wage gaps are larger within the lowest percentiles, and they mostly have a downward slope across the earnings distribution. Finally, after computing the raw and unexplained gap at the region‐year level, we show that smaller regional gender gaps are associated with (a) higher GDP, (b) lower levels of domestic physical violence against women, and (c) lower percentages of women as household heads.
Original languageEnglish
Pages (from-to)19-34
Number of pages16
JournalSocial Inclusion
Volume10
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© 2022 by the author(s); licensee Cogitatio (Lisbon, Portugal).

Keywords

  • Aging
  • Gender inequality
  • Labor earnings
  • Older persons
  • Pension coverage
  • Peru
  • Gender wage gap
  • Regional inequality
  • Gender discrimination

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