No CrossRef data available.
Article contents
Examining the consequences of poor neonatal health on the family
Published online by Cambridge University Press: 09 February 2022
Abstract
We compare the trajectories of families who have a child with poor neonatal health compared to those who do not, using administrative birth record data merged with longitudinal household survey data. We apply entropy balancing and weighting methods to enhance comparison between the two types of families. We find that children with poor neonatal health are more likely to be diagnosed with a disability and to receive Supplemental Security Income. Mothers who have children with poor neonatal health are more likely to reduce labor force participation at both the intensive and extensive margins when the child is young. Further, they are more likely to receive benefits from the Supplemental Nutrition Assistance Program and the Temporary Assistance for Needy Families program. We find no significant effects of poor neonatal health on maternal mental health or household income. Parents who have children with poor neonatal health are significantly less likely to remain married or cohabiting.
Keywords
- Type
- Research Paper
- Information
- Copyright
- Copyright © Université catholique de Louvain 2022
References
Almond, D., Chay, K. Y. and Lee, D. S. (2005) The costs of low birth weight. Quarterly Journal of Economics 120(3), 1031–1083.Google Scholar
Black, S. E., Devereux, P. J. and Salvanes, K. G. (2007) From the cradle to the labor market? The effect of birth weight on adult outcomes. Quarterly Journal of Economics 122(1), 409–439.CrossRefGoogle Scholar
Carlson, B. L. (2008) Fragile families & child wellbeing study: Methodology for constructing mother, father, and couple weights for core telephone public survey data waves 1-4. Princeton, NJ: Mathematica Policy Research.Google Scholar
Corman, H., Noonan, K. and Reichman, N. E. (2005) Mothers’ labor supply in fragile families: the role of child health. Eastern Economic Journal 31(4), 601–616.Google Scholar
Elder, T.D. N. Figlio, S. A. Imberman, C. Persico, (2019). The role of neonatal health in the incidence of childhood disability. NBER working paper no. 25828. Cambridge, MA: National Bureau of Economic Research.CrossRefGoogle Scholar
Figlio, D., Guryan, J., Karbownik, K. and Roth, J. (2014) The effects of poor neonatal health on children's cognitive development. American Economic Review 104(12), 3921–3955.CrossRefGoogle ScholarPubMed
Guldi, M.A. Hawkins, J. Hemmeter, L. Schmidt, (2018). Supplemental Security Income and child outcomes: Evidence from birth weight eligibility cutoffs. NBER working paper no. 24913. Cambridge, MA: National Bureau of Economic Research.Google Scholar
Hainmueller, J. (2012) Entropy balancing for causal effects: a multivariate reweighting method to produce balanced samples in observational studies. Political Analysis 20(1), 25–46.CrossRefGoogle Scholar
Hainmueller, J. and Xu, Y. (2013) Ebalance: a stata package for entropy balancing. Journal of Statistical Software 54(7).CrossRefGoogle Scholar
Imai, K. and Ratkovic, M (2014) Covariate balancing propensity score. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 76(1), 243–263.CrossRefGoogle Scholar
Kang, J. D. and Schafer, J. L. (2007) Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data. Statistical Science 22(4), 523–539.Google Scholar
Luca, D. L., Garlow, N., Staatz, C., Margiotta, C. and Zivin, K. (2019) Societal Costs of Untreated Perinatal Mood and Anxiety Disorders in the United States. Cambridge, MA: Mathematica Policy Research.Google Scholar
National Research Council and Institute of Medicine (2000) From neurons to neighborhoods: the science of early childhood development. Committee on integrating the science of early childhood development. In Shonkoff, Jack P. and Phillips, Deborah A. (eds), Board on Children, Youth, and Families, Commission on Behavioral and Social Sciences and Education. Washington, DC: National Academy Press.Google Scholar
Oreopoulos, P., Stabile, M., Walld, R. and Roos, L. L. (2008) Short-, medium-, and long-term consequences of poor infant health an analysis using siblings and twins. Journal of Human Resources 43(1), 88–138.CrossRefGoogle Scholar
Porterfield, Shirley L. and Tracey, Colleen (2003) Disentangling the dynamics of family poverty and child disability: Does disability come first? Washington University, Working Paper No. 03-01. St. Louis, MO: Center for Social Development.Google Scholar
Reichman, N. E., Corman, H. and Noonan, K. (2004) Effects of child health on parents’ relationship status. Demography 41(3), 569–584.CrossRefGoogle ScholarPubMed
Reichman, N. E., Teitler, J. O., Garfinkel, I. and McLanahan, S. S. (2001) Fragile families: sample and design. Children and Youth Services Review 23(4-5), 303–326.CrossRefGoogle Scholar
Ridgeway, G., Kovalchik, S. A., Griffin, B. A. and Kabeto, M. U. (2015) Propensity score analysis with survey weighted data. Journal of Causal Inference 3(2), 237–249.CrossRefGoogle ScholarPubMed
Rosenbaum, P. R. and Rubin, D. B. (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1), 41–55.CrossRefGoogle Scholar
Schonlau, M. (2005) Boosted regression (boosting): An introductory tutorial and a Stata plugin. The Stata Journal 5(3), 330–354.CrossRefGoogle Scholar
Smith, J. A. and Todd, P. E. (2005) Does matching overcome LaLonde's critique of nonexperimental estimators? Journal of Econometrics 125(1-2), 305–353.CrossRefGoogle Scholar
Swaminathan, S., Alexander, G. and Boulet, S. (2006) Delivering a very low birth weight infant and the subsequent risk of divorce or separation. Maternal and Child Health Journal 10(6), 473–479.CrossRefGoogle ScholarPubMed
Van Cleave, J., Gortmaker, S. L. and Perrin, J. M. (2010) Dynamics of obesity and chronic health conditions among children and youth. Journal of the American Medical Association 303(7), 623–630.CrossRefGoogle ScholarPubMed
Luca and Sevak supplementary material
Luca and Sevak supplementary material
File
48.4 KB