Abstract
Previous research finds adverse effects of nontraditional family structures on cognitive and educational outcomes, but less is known about potential impacts on health. We use the National Longitudinal Study of Adolescent Health to examine two health statuses (self-reported overall health and depression) and one health behavior (smoking), estimating both static logit models of point-in-time health and discrete-time hazard models of health transitions. Overall, we find adverse associations between nontraditional family structures and health statuses and behavior. There are long-lasting associations of family structure with outcomes well into adulthood, not all of which are evident in adolescence. Dynamic estimates often inform but also provide new information not seen in the static model. “Unpacking” the family structure variables by period of childhood provides insight into how the timing of family break-ups affects the life trajectories of health and health behavior. Our findings differ remarkably by gender. Girls’ health appears more sensitive to family structure than boys’. In combination with prior findings in the literature, our findings intriguingly suggest that family break-ups and changes affect boys mostly through cognitive, educational, and emotional channels, while girls are most affected in their health and health behaviors. A major methodological contribution of this study is better measurement of family structure. We find that many adverse associations are masked by cruder measures in typical use.
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Notes
Conway and Li (2012) also note that even families labeled “single mother” may represent a wide variety of experiences.
For brevity, we abstract from investments made by step-parents, which could also be included as arguments. We assume there is a single child, foregoing modeling further parental trade-offs.
Children whose biological father lived with the mother at Wave I are assumed to have always lived in a traditional two-parent household, misclassifying biological fathers who left and returned to the household by Wave I.
Add Health defines a marriage-like relationship as “living with someone as if you were married to him…when you are not.”
3075 individuals were dropped because they were under 15 and 824 because they were over 18. We also drop adolescents whose mothers’ marital or marriage-like partners died, who spent 6 or more months away from the biological mother by Wave I, who did not report living with his/her biological mother, or who did not have a sampling weight (361, 641, 98, and 561 adolescents, respectively).
Censoring is minimal.
Father could be misclassified as “never present” when mothers do not report ever being married (or in a marriage-like relationship); biological fathers marry the mother subsequent to the child’s birth; or biological fathers in social relationships do not marry the mother.
For ages 11–15, we combine ‘no other males’ together with ‘other males present’ due to a small number of the latter.
Missing income is imputed to approximately 10 % of the sample using mother’s marital status, race, ethnicity, occupation, and educational attainment.
Missing birth weights are imputed to 5 % of the sample by assigning the sample mean by gender.
When Eq. (4) takes a recursive form, the change in health between any two waves is some function of the intervening investments.
Findings did not differ substantively with and without the polynomial in the specification.
Add Health surveys the adolescent’s smoking history at Wave I, so it is possible to determine if an individual both started and quit prior to Wave I. Therefore, the quitting analysis includes transitions occurring before Wave I.
We are grateful to an anonymous referee for pointing this out.
We are grateful to an anonymous referee for pointing this out.
Statistics for the full set of variables for female and male respondents are available in Tables A1 and A2, respectively, in the electronic appendix.
Consistent with Akashi-Ronquest (2009), the entry of a stepfather, controlling for income, does not offset the adverse influence of biological father departure. We are grateful to an anonymous referee for pointing this out.
Results of our robustness checks are available upon request.
Health insurance coverage of adolescents in the sample is high, at 90 %, and there is a reduction of only 2 percentage points in coverage if the father ever left.
References
Akashi-Ronquest, N. (2009). The impact of biological preferences on parental investments in children and step-children. Review of Economics of the Household, 7(1), 59–81.
Angel, R., & Worobey, J. L. (1988). Single motherhood and children’s health. Journal of Health and Social Behavior, 29(1), 38–52.
Antecol, H., & Bedard, K. (2007). Does single parenthood increase the probability of teenage promiscuity, substance use, and crime? Journal of Population Economics, 20(1), 55–71.
Beller, A. H., & Chung, S. S. (1992). Family structure and educational attainment of children: Effects of remarriage. Journal of Population Economics, 5(1), 39–59.
Beller, A. H., & Graham, J. W. (2003). The economics of child support. In S. Grossbard-Shechtman (Ed.), Marriage and the economy: Theory and evidence from advanced industrial societies. Cambridge: Cambridge University Press.
Bertrand, M., & Pan, J. (2013). The trouble with boys: Social influences and the gender gap in disruptive behavior. American Economic Journal: Applied Economics, 5(1), 32–64.
Bloch, M., Peleg, I., Koren, D., Aner, H., & Klein, E. (2007). Long-term effects of early parental loss due to divorce on the HPA axis. Hormones and Behavior, 51(4), 516–523.
Bramlett, M. D., & Blumberg, S. J. (2007). Family Structure and children’s physical and mental health. Health Affairs, 26(2), 549–558.
Brown, S. L. (2006). Family structure transitions and adolescent well-being. Demography, 43(3), 447–461.
Bzostek, S. H., & Beck, A. N. (2011). Familial instability and young children’s physical health. Social Science and Medicine, 73(2), 282–292.
Case, A., Fertig, A., & Paxson, C. (2005). The lasting impact of childhood health and circumstance. Journal of Health Economics, 24(2), 365–389.
Case, A., Lin, I. F., & McLanahan, S. (2001). Educational attainment of siblings in stepfamilies. Evolution and Human Behavior, 22(4), 269–289.
Case, A., & Paxson, C. (2001). Mothers and others: Who invests in children’s health? Journal of Health Economics, 20(3), 301–328.
Contoyannis, P., & Li, J. (2011). The evolution of health outcomes from childhood to adolescence. Journal of Health Economics, 30(1), 11–32.
Conway, K., & Li, M. (2012). Family structure and child outcomes: A high definition, wide angle “snapshot”. Review of Economics of the Household, 10(3), 345–375.
Dawson, D. A. (1991). Family structure and children’s health and well-being: Data from the 1988 national health interview survey on child health. Journal of Marriage and Family, 53(3), 573–584.
Eisenberg, D., & Druss, B. G. (2015). Time preferences, mental health and treatment utilization. Journal of Mental Health Policy and Economics, 18(1), 125–136.
Elzinga, B. M., Roelofs, K., Tollenaar, M. S., Bakvis, P., van Pelt, J., & Spinhoven, P. (2008). Diminished cortisol responses to psychosocial stress associated with lifetime adverse events: A study among healthy young subjects. Psychoneuroendocrinology, 33(2), 227–237.
Evenhouse, E., & Reilly, S. (2004). A sibling study of stepchild well-being. Journal of Human Resources, 39(1), 248–276.
Fletcher, J. M., Green, J. C., & Neidell, M. J. (2010). Long term effects of childhood asthma on adult health. Journal of Health Economics, 29(3), 377–387.
Fletcher, J., & Sindelar, J. (2012). The effects of family stressors on substance use initiation in adolescence. Review of Economics of the Household, 10(1), 99–114.
Francesconi, M., Jenkins, S. P., & Siedler, T. (2010). The effect of lone motherhood on the smoking behavior of young adults. Health Economics, 19(11), 1377–1384.
Fuller-Thomson, E., & Dalton, A. D. (2012). Gender differences in the association between parental divorce during childhood and stroke in adulthood: Findings from a population-based survey. International Journal of Stroke, 10(6), 868–875.
Gennetian, L. (2005). One or two parents? Half or step siblings? The effect of family structure on young children’s achievement. Journal of Population Economics, 18(3), 415–436.
Ginther, D., & Pollak, R. (2004). Family structure and children’s educational outcomes: Blended families, stylized facts, and descriptive regressions. Demography, 41(4), 671–696.
Grossman, M. (1972). On the concept of health capital and the demand for health. Journal of Political Economy, 80(2), 223–255.
Hamil-Luker, J., & O’Rand, A. M. (2007). Gender differences in the link between childhood socioeconomic conditions and heart attack risk in adulthood. Demography, 44(1), 137–158.
Harknett, K. (2009). Why are children with married parents healthier? The case of pediatric asthma. Population Research and Policy Review, 28(3), 347–365.
Heard, H., Gorman, B., & Kapinus, C. (2008). Family structure and self-rated health in adolescence and young adulthood. Population Research and Policy Review, 27(6), 773–797.
Heckman, J. J. (2007). The economics, technology, and neuroscience of human capability formation. Proceedings of the National Academy of Sciences, 104(33), 13250–13255.
Hill, M. S., Yeung, W. J., & Duncan, G. J. (2001). Childhood family structure and young adult behaviors. Journal of Population Economics, 14(2), 271–299.
Hoch, S. J., & Loewenstein, G. F. (1991). Time-inconsistent preferences and consumer self-control. Journal of Consumer Research, 17(4), 492–507.
Irwin, M., Artin, K., & Oxman, M. N. (1999). Screening for depression in the older adult: Criterion validity of the 10-item center for epidemiological studies depression scale (ces-d). Archives of Internal Medicine, 159(15), 1701–1704.
Kreider, R. M. (2008). Living arrangements of children: 2004. Current Population Reports (pp. P70–114). Washington, DC: U.S. Census Bureau.
Krein, S. F., & Beller, A. H. (1988). Educational attainment of children from single-parent families: Differences by exposure, gender, and race. Demography, 25(2), 221–234.
Langton, C. E., & Berger, L. M. (2011). Family structure and adolescent physical health, behavior, and emotional well-being. Social Service Review, 85(3), 323–357.
Lundberg, S., McLanahan, S., & Rose, E. (2007). Child gender and father involvement in fragile families. Demography, 44(1), 79–92.
Lundberg, S., & Rose, E. (2002). The effects of sons and daughters on men’s labor supply and wages. Review of Economics and Statistics, 84(2), 251–268.
Lundberg, S., & Rose, E. (2003). Child gender and the transition to marriage. Demography, 40(2), 333.
Mauldon, J. (1990). The effect of marital disruption on children’s health. Demography, 27(3), 431–446.
McLanahan, S. S., & Sandefur, G. D. (1994). Growing up with a single parent: What hurts, what helps. Cambridge, MA: Harvard University Press.
Mitchell, C., McLanahan, S., Hobcraft, J., Brooks-Gunn, J., Garfinkel, I., & Notterman, D. (2015). Family structure instability, genetic sensitivity, and child well-being. American Journal of Sociology, 120(4), 1195–1225.
Montgomery, L. E., Kiely, J. L., & Pappas, G. (1996). The effects of poverty, race, and family structure on US children’s health: Data from the NHIS, 1978 through 1980 and 1989 through 1991. American Journal of Public Health, 86(10), 1401–1405.
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.
Roberts, R. E., Lewinsohn, P. M., & Seeley, J. R. (1991). Screening for adolescent depression: A comparison of depression scales. Journal of the American Academy of Child and Adolescent Psychiatry, 30(1), 58–66.
Spruijt, E., & de Goede, M. (1997). Transitions in family structure and adolescent well-being. Adolescence, 32(128), 897–911.
Stewart, S. D., & Menning, C. L. (2009). Family structure, nonresident father involvement, and adolescent eating patterns. Journal of Adolescent Health, 45(2), 193–201.
Acknowledgments
The authors would like to thank Craig Gundersen and Paul McNamara for helpful comments and suggestions. Carl Nelson’s assistance with data manipulation and retrieval was invaluable. All responsibility for errors rests with the authors. This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by Grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from Grant P01-HD31921 for this analysis.
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Slade, A.N., Beller, A.H. & Powers, E.T. Family structure and young adult health outcomes. Rev Econ Household 15, 175–197 (2017). https://doi.org/10.1007/s11150-015-9313-x
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DOI: https://doi.org/10.1007/s11150-015-9313-x
Keywords
- Family structure
- Adolescent health
- Discrete-time hazard models
- National Longitudinal Study of Adolescent Health