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The Socioeconomic Consequences of Teen Childbearing Reconsidered

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  • Arline T. Geronimus
  • Sanders Korenman

Abstract

Teen childbearing is commonly viewed as an irrational behavior that leads to long-term socioeconomic disadvantage for mothers and their children. Cross-sectional studies that estimate relationships between maternal age at first birth and socioeconomic indicators measured later in life form the empirical basis for this view. However1 these studies have failed to account adequately for differences in family background among women who time their births at different ages. We present new estimates of the consequences of teen childbearing that take into account observed and unobserved family background heterogeneity, comparing sisters who have timed their first births at different ages. Sister comparisons suggest that previous estimates are biased by failure to control adequately for family background heterogeneity, and, as a result, have overstated the consequences of early fertility.

Suggested Citation

  • Arline T. Geronimus & Sanders Korenman, 1991. "The Socioeconomic Consequences of Teen Childbearing Reconsidered," NBER Working Papers 3701, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:3701
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    References listed on IDEAS

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    1. Freeman, Richard B, 1984. "Longitudinal Analyses of the Effects of Trade Unions," Journal of Labor Economics, University of Chicago Press, vol. 2(1), pages 1-26, January.
    2. Geronimus, A.T., 1986. "The effects of race, residence, and prenatal care on the relationship of maternal age to neonatal mortality," American Journal of Public Health, American Public Health Association, vol. 76(12), pages 1416-1421.
    3. Arline Geronimus & John Bound, 1990. "Black/white differences in women’s reproductive-related health status: evidence from vital statistics," Demography, Springer;Population Association of America (PAA), vol. 27(3), pages 457-466, August.
    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. Jere R. Behrman & Barbara L. Wolfe, 1989. "Does More Schooling Make Women Better Nourished and Healthier? Adult Sibling Random and Fixed Effects Estimates for Nicaragua," Journal of Human Resources, University of Wisconsin Press, vol. 24(4), pages 644-663.
    6. Mark R. Rosenzweig & Kenneth I. Wolpin, 1988. "Heterogeneity, Intrafamily Distribution, and Child Health," Journal of Human Resources, University of Wisconsin Press, vol. 23(4), pages 437-461.
    7. Bound, John & Griliches, Zvi & Hall, Bronwyn H, 1986. "Wages, Schooling and IQ of Brothers and Sisters: Do the Family Factors Differ?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(1), pages 77-105, February.
    8. G. S. Maddala, 1987. "Limited Dependent Variable Models Using Panel Data," Journal of Human Resources, University of Wisconsin Press, vol. 22(3), pages 307-338.
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    Cited by:

    1. David Neumark & Sanders Korenman, 1994. "Sources of Bias in Women's Wage Equations: Results Using Sibling Data," Journal of Human Resources, University of Wisconsin Press, vol. 29(2), pages 379-405.
    2. Paula England & Emily Fitzgibbons Shafer & Lawrence Wu, 2012. "Premarital conceptions, postconception ("shotgun") marriages, and premarital first births," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 27(6), pages 153-166.

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