Expected work experience and the gender wage gap: A new human capital measure

Joseph E. Zveglich, Yana van der Meulen Rodgers, Editha A. Laviña

Research output: Contribution to journalArticle

Abstract

Work experience is a key variable in earnings function estimates and wage gap decompositions. Because data on actual work experience are rare, studies commonly use proxies, such as potential experience. But potential experience is identical for all individuals of the same age and level of education, so it ignores labor market intermittency because of childbirth and child rearing—a critical omission when analyzing gender differences in earnings. This paper constructs a better proxy: expected work experience, which is the sum of the annual probabilities that an individual worked in the past. This measure can be generated using commonly available data on labor force participation rates by age and gender to gauge the probability of past work. Applying the measure to labor force survey data from the Philippines shows that conventional proxies underestimate the contribution of gender differences in work experience in explaining the gender wage gap.

Original languageEnglish (US)
Pages (from-to)372-383
Number of pages12
JournalEconomic Modelling
Volume83
DOIs
StatePublished - Dec 2019

Fingerprint

Gender wage gap
Human capital
Work experience
Gender differences
Earnings function
Labour market
Decomposition
Labor force participation
Labor force
Wage gap
Philippines
Childbirth
Education
Participation rate
Survey data

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Keywords

  • Gender wage gap
  • Philippines
  • Potential experience
  • Wage regressions
  • Women's relative earnings

Cite this

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Expected work experience and the gender wage gap : A new human capital measure. / Zveglich, Joseph E.; van der Meulen Rodgers, Yana; Laviña, Editha A.

In: Economic Modelling, Vol. 83, 12.2019, p. 372-383.

Research output: Contribution to journalArticle

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