My da|ra Login

Detailed view

metadata language: English

Replication data for: Specialization Then and Now: Marriage, Children, and the Gender Earnings Gap across Cohorts

Version
1
Resource Type
Dataset
Creator
  • Juhn, Chinhui
  • McCue, Kristin
Publication Date
2017-01-04
Description
  • Abstract

    In this paper, we examine the evolution of the gender gap associated with marriage and parental status, comparing cohorts born between 1936 and 1985. The model of household specialization and division of labor introduced by Becker posits that when forming households, couples will exploit the gains from trade by having one spouse specialize in market work while the other specializes in household work. Given the historical advantage of men in the labor market, the model predicts specialization by gender and therefore an earnings advantage for married men and an earnings disadvantage for married women. Is this model of specialization useful for understanding the evolution of the gender gap across generations of women? And what about children? Academic papers have shown that wages of mothers are significantly lower than those of non-mothers with similar human capital characteristics. We do not attempt to build a structural model here, but rather document how changing associations between marriage and earnings, and between children and earnings, have contributed to the gender gap in an "accounting" sense.
Availability
Download
Relations
  • Is supplemented by
    DOI: 10.1257/jep.31.1.183 (Text)
Publications
  • Juhn, Chinhui, and Kristin McCue. “Specialization Then and Now: Marriage, Children, and the Gender Earnings Gap across Cohorts.” Journal of Economic Perspectives 31, no. 1 (February 2017): 183–204. https://doi.org/10.1257/jep.31.1.183.
    • ID: 10.1257/jep.31.1.183 (DOI)

Update Metadata: 2019-10-13 | Issue Number: 1 | Registration Date: 2019-10-13

Juhn, Chinhui; McCue, Kristin (2017): Replication data for: Specialization Then and Now: Marriage, Children, and the Gender Earnings Gap across Cohorts. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. http://doi.org/10.3886/E113984V1