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Title: Characterizing Leave for Maternity: Modeling the NLSY Data
Resulting in 1 citation.
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Klerman, Jacob Alex |
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Characterizing Leave for Maternity: Modeling the NLSY Data NLS Discussion Paper No. 95-21, Washington DC: U.S. Bureau of Labor Statistics, December 1993. Also: http://stats.bls.gov/ore/abstract/nl/nl930010.htm Cohort(s): NLSY79 Publisher: U.S. Department of Labor Keyword(s): Childbearing; Employment, Part-Time; Exits; Firm Size; Job Status; Job Tenure; Job Training; Labor Force Participation; Leave, Family or Maternity/Paternity; Maternal Employment; Modeling, Hazard/Event History/Survival/Duration; Modeling, Probit; Pregnancy and Pregnancy Outcomes; Quits Major changes in women's labor force behavior over the last two decades imply that while time away from the work force after the birth of a child was once measured in years, it is now measured in weeks or even days. Concentrating on the weeks immediately following childbirth, this paper characterizes the labor force behavior of women immediately before and after the birth of a child. The timing of labor market exits (during pregnancy) and entrances (after childbirth) are estimated to the day, and reported to the week. Quits, exits to unpaid leave, and exist to paid leave are separately identified. The estimates reveal the most women who work before the birth of a child return to work relatively quickly after the birth of a child. The modal time to return occurs only about six weeks after childbirth. Those who work long into pregnancy return to work more quickly after childbirth. The empirical work uses the National Longitudinal Survey-Youth. The estimates are generating using a system of probit and hazard models. The system includes unobserved heterogeneity to capture the correlation between decisions. The econometric model is specified to correct for the focus of the NLSY protocol (in some years) on employment, so that it is not possible to distinguish paid from unpaid leave. |
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Bibliography Citation
Klerman, Jacob Alex. "Characterizing Leave for Maternity: Modeling the NLSY Data." NLS Discussion Paper No. 95-21, Washington DC: U.S. Bureau of Labor Statistics, December 1993. |