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The Costs of Teenage Out-of-Wedlock Childbearing: Analysis with a Within-School Propensity Score Matching Estimator

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  • David I. Levine

    (University of California)

  • Gary Painter

    (University of Southern California)

Abstract

Teen out-of-wedlock mothers have lower education and earnings than peers who have children later. This study uses the National Educational Longitudinal Survey of 1988 (NELS) to examine the extent to which the apparent effects of out-of-wedlock teen fertility are not causal, but are due to pre-existing disadvantages of the young women and their families. We use a novel fixed-effect matching method to study this problem. We find that mothers-to-be were substantially disadvantaged before their teen out-of-wedlock fertility. At the same time, we cannot rule out that out-of-wedlock fertility reduces education substantially, although far less than the cross-sectional comparisons of means suggest.

Suggested Citation

  • David I. Levine & Gary Painter, 2000. "The Costs of Teenage Out-of-Wedlock Childbearing: Analysis with a Within-School Propensity Score Matching Estimator," Econometric Society World Congress 2000 Contributed Papers 1155, Econometric Society.
    • Handle: RePEc:ecm:wc2000:1155
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    References listed on IDEAS

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    1. Painter, Gary & Levine, David I., 1999. "Family Structure and Youths' Outcomes: Which Correlations are Causal?," Institute for Research on Labor and Employment, Working Paper Series qt3g7899gz, Institute of Industrial Relations, UC Berkeley.
    2. Arline Geronimus & Sanders Korenman, 1993. "The socioeconomic costs of teenage childbearing: Evidence and interpretation," Demography, Springer;Population Association of America (PAA), vol. 30(2), pages 281-290, May.
    3. Saul Hoffman & E. Foster & Frank Furstenberg, 1993. "Reevaluating the costs of teenage childbearing: Response to Geronimus and Korenman," Demography, Springer;Population Association of America (PAA), vol. 30(2), pages 291-296, May.
    4. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    5. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    6. Gary Painter & David I. Levine, 2000. "Family Structure and Youths' Outcomes: Which Correlations are Causal?," Journal of Human Resources, University of Wisconsin Press, vol. 35(3), pages 524-549.
    7. V. Joseph Hotz & Charles H. Mullin & Seth G. Sanders, 1997. "Bounding Causal Effects Using Data from a Contaminated Natural Experiment: Analysing the Effects of Teenage Childbearing," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 575-603.
    8. Arline T. Geronimus & Sanders Korenman, 1992. "The Socioeconomic Consequences of Teen Childbearing Reconsidered," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(4), pages 1187-1214.
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    Cited by:

    1. Paul Gertler & David I. Levine & Minnie Ames, 2004. "Schooling and Parental Death," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 211-225, February.
    2. Rees, Daniel I. & Sabia, Joseph J., 2014. "The kid's speech: The effect of stuttering on human capital acquisition," Economics of Education Review, Elsevier, vol. 38(C), pages 76-88.
    3. O'Keefe, Suzanne, 2004. "Job creation in California's enterprise zones: a comparison using a propensity score matching model," Journal of Urban Economics, Elsevier, vol. 55(1), pages 131-150, January.

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    More about this item

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J12 - Labor and Demographic Economics - - Demographic Economics - - - Marriage; Marital Dissolution; Family Structure

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