Arbeitspapier

Revisiting the Composition of the Female Workforce - A Heckman Selection Model with Endogeneity

In this paper, we revisit the Mulligan and Rubinstein (2008: Selection, investment and women's relative wages over time. The Quarterly Journal of Economics, 123(3):1061-1110) analysis about the composition of the female workforce in the United States. Using a Heckman selection model, these authors found that the selection of women into the female workforce changed from negative to positive over time. However, the authors assumed the exogeneity of covariates, which is sometimes appropriate but not for a variable like education. We revisit the issue of the Mulligan and Rubinstein (2008) paper by developing and applying a Heckman selection model which also controls for the potential endogeneity of education. Applying this estimator to U.S. Census and American Community Survey data, we find that selection has become more positive over time (like in Mulligan and Rubinstein), but that selection has never been negative. We rather find an interesting puzzle concerning the correlation pattern of the unobservables in our model which requires further investigation.

Sprache
Englisch

Erschienen in
Series: Diskussionsbeitrag ; No. 502

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models; Single Variables: Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
Labor Force and Employment, Size, and Structure
Wage Level and Structure; Wage Differentials
Thema
Sample selection model
endogenous covariates
gender wage gap
composition of the female workforce
female labor force participation

Ereignis
Geistige Schöpfung
(wer)
Schwiebert, Jörg
Ereignis
Veröffentlichung
(wer)
Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
(wo)
Hannover
(wann)
2012

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Schwiebert, Jörg
  • Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Entstanden

  • 2012

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