Differential Effects of High-Quality Child Care

Journal of Policy Analysis and Management

Volumn 21, Issue 4, 2002, Pages 601-627

  Hill, Jennifer ^a   Waldfogel, Jane ^a   Brooks Gunn, Jeanne ^a  

^a Och Spine at New York Presbyterian Hospitals   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0141550057     PISSN: 02768739     EISSN: None     Source Type: Journal    
DOI: 10.1002/pam.10077     Document Type: Article

References (51)

1. Angrist, J.D., Imbens, G.W., & Rubin, D.B. (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association, 91, 444-472.
2. Bachu, A., & O'Connell, M. (1998). Fertility of American women. Washington, DC: U.S. Census Bureau.
3. Barnard, J., Du, J., Hill, J.L., & Rubin, D.B. (1998). A broader template for analyzing broken randomized experiments. Sociological Methods and Research, 27, 285-317.
4. Barnard, J., Frangakis, C., Hill, J.L., & Rubin, D.B. (2001). School choice in NY city: a Bayesian analysis of an imperfect randomized experiment, in Kass et al. (Eds.), Case studies in Bayesian Statistics., vol. 5. New York: Springer-Verlag.
5. Baydar, N., Hyle, P., & Brooks-Gunn, J. (1997). A longitudinal study of the effects of the birth of a sibling during preschool and early grade school years. Journal of Marriage and the Family, 59 (4), 957-965.
6. Belsky, J. (in press). Development risks (still) associated with early child care. Journal of Child Psychology and Psychiatry.
7. Blau, D.M. (2001). The child care problem: an economic analysis. New York: Russell Sage.
8. Blau, F.D., & Grossberg, A.J. (1992). Maternal labor supply and children's cognitive development. Review of Economics and Statistics, 74, 474-481.
9. Bos, J.M., & Granger, R.C. (2002). Estimating effects of day care use on children's school-readiness: evidence from the New Chance demonstration. New York: MDRC.
10. Brooks-Gunn, J., Klebanov, P.K., Liaw, F., & Spiker, D. (1993). Enhancing the development of low-birthweight, premature infants: changes in cognition and behavior over the first three years. Child Development, 64(3), 736-753.
11. Brooks-Gunn, J., McCarton, C.M., Casey, P.H., McCormick, M.C., Bauer, C.R. Bernbaum, J.C., Tyson, J., Swanson, M., Bennett, F.C., Scott, D.T., et al. (1994). Early intervention in low-birth-weight premature infants. Results through age 5 years from the Infant Health and Development Program. Journal of the American Medical Association, 272(16), 1257-1262.
12. Currie, J. (2001). Early childhood education programs. Journal of Economic Perspectives, 15 (2), 213-238.
13. Currie, J., & Thomas, D. (1995). Does Head Start make a difference? American Economic Review, 85(3), 341-364.
14. Dehejia, R., & Wahba, S. (1999). Causal effects in non-experimental studies: re-evaluating the evaluation of training programs. Journal of the American Statistical Association, 94, 1053-1062.
15. Dehejia, R., & Wahba, S. (2000). Propensity score matching methods for non-experimental causal studies, Technical Working Paper 6829. Cambridge, MA: National Bureau Economic Research.
16. Fiebach, N.H. (1990). Outcomes in patients with myocardial-infarction who are initially admitted to stepdown units - data from the multicenter chest pain study. Biometrika, 89, 15-20.
17. Frangakis, C.E., & Rubin, D.B. (2002). Principal stratification in causal inference. Biometrics, 58(1), 20-29.
18. Gibson, C. (2001). Privileging the participant: the importance of take-up rates in social welfare evaluations. Chicago: Joint Center for Poverty Research.
19. Han, W.-J., Waldfogel, J., & Brooks-Gunn, J. (2001), The effects of early maternal employment on later cognitive and behavioral outcomes. Journal of Marriage and the Family, 63(2), 336-354.
20. Heckman, J.J., Ichimura, H., & Todd, P. (1997). Matching as an econometric evaluation estimator: evidence from a job training programme. Review of Economic Studies, 64, 605-654.
21. Heckman, J., & Robb, R. (1985). Alternative methods for evaluating the effect of interventions, in Heckman and Singer (Eds.), Longitudinal analysis of labor market data (pp. 156-246). New York: Wiley.
22. Hill, J., Brooks-Gunn, J., & Waldfogel, J. (2001). Sustained effects of high participation in an early intervention for low-birth-weight premature infants. New York: Columbia University.
23. Hotz, J.V., Imbens, G., & Mortimer, J.H. (2000), Predicting the efficacy of future training programs using past experiences. Los Angeles: University of California.
24. Imbens, G.W., Rubin, D.B., & Sacerdote, B. (2001). Estimating the effect of unearned income on labor earnings, savings, and consumption: evidence from a sample of lottery players. American Economic Review, 91 (4), 778-794.
25. Infant Health and Development Program. (1990). Enhancing the outcomes of low-birth-weight, premature infants. A multisite, randomized trial. The Infant Health and Development Program. Journal of the American Medical Association, 263(22), 3035-3042.
26. Karoly, L.A., Greenwood, P.W., Everingham, S.S., Hoube, J., Kilburn, M.R., Rydell, C.P., Sanders, M., & Chiesa, J. (1998). Investing in our children: what we know and don't know about the costs and benefits of early childhood interventions. Santa Monica, CA: RAND.
27. Katz, L.F., Kling, J.R, & Liebman, J.B. (2001). Moving to opportunity in Boston: early results of a randomized mobility experiment. Quarterly Journal of Economics, 116(2), 607-654.
28. Lavori, P.W., Keller, M.B., & Endicott, J. (1995). Improving the aggregate performance of psychiatric diagnostic methods when not all subjects receive the standard test. Statistics in Medicine, 14, 1913-1925.
29. Lechner, M. (1999). Earnings and employment effects of continuous off-the-job training in East Germany after unification. Journal of Business and Economic Statistics, 17, 74-90.
30. Leventhal, T., & Brooks-Gunn, J. (2001). Moving to opportunity: an experimental study of neighborhood effects on mental health. New York: Center for Children and Families, Teachers College, Columbia University.
31. Little, R.J.A., & Rubin, D.B. (1987). Statistical analysis with missing data. New York: Wiley.
32. Magnuson, K.A., Gibson, C., & Huston, A. (1999). Structured after-school care programs and children's behavior: findings from an experimental anti-poverty program. Chicago: Northwestern University.
33. McCarton, C.M., Brooks-Gunn, J., Wallace, I.F., Bauer, C.R., Bennett, F.C., Bernbaum, J.C., Broyles, R.S., Casey, P.H., McCormick, M.C., Scott, D.T., Tyson, J., Tonascia, J., & Meinert, C.L. (1997). Results at age 8 years of early intervention for low-birth-weight premature infants. The Infant Health and Development Program. Journal of the American Medical Association, 277(2), 126-132.
34. McCormick, M.C., Brooks-Gunn, J., Workman-Daniels, K., Turner, J., & Peckham, G.J. (1992). The health and developmental status of very low-birth-weight children at school age. Journal of the American Medical Association, 267(16), 2204-2208.
35. McCormick, M.C., McCarton, C., Brooks-Gunn, J., Belt, P., & Gross, R.T. (1998). The infant health and development program: interim summary. Journal of Developmental and Behavioral Pediatrics, 19(5), 359-370.
36. Newhouse, J.P., & The Insurance Experiment Group. (1993). Free for all? Lessons from the RAND health insurance experiment. Cambridge, MA: Harvard University Press.
37. NICHD Early Child Care Research Network (2000). The relation of child care to cognitive and language development. Child Development, 71(4), 960-980.
38. Olkin, I., & Tate, R.F. (1961). Multivariate correlation models with mixed discrete and continuous variables. Annals of Mathematical Statistics, 32, 448-465.
39. Phillips, D., & Adams, G. (2001). Child care and our youngest children. Future of Children, 11(1), 35-52.
40. Ramey, C.T., Bryant, D.M., Wasik, B.H., Sparling, J.J., Fendt, K.H., & LaVange, L.M. (1992). Infant Health and Development Program for low birth weight, premature infants: program elements, family participation, and child intelligence. Pediatrics, 89(3), 454-465.
41. Rosenbaum, P.R. (1984). The consequences of adjustment for a concomitant variable that has been affected by the treatment. Journal of the Royal Statistical Society, A, 147(5), 656-666.
42. Rosenbaum, P.R., & Rubin, D.B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70, 41-55.
43. Rubin, D.B. (1978). Bayesian inference for causal effects: the role of randomization. Annals of Statistics, 6, 34-58.
44. Rubin, D.B. (1987). Multiple imputation for nonresponse in surveys. New York: Wiley.
45. Schafer, J.L. (1997). Analysis of incomplete multivariate data. London: Chapman & Hall.
46. Scott, D.T., Bauer, C.R., Kraemer, H.C., & Tyson, J. (1989). A neonatal health index for preterm infants. Pediatric Research, 25, 263A.
47. Shonkoff, J.P., & Phillips, D. (2000). From neurons to neighborhoods: the science of early child development. Washington, DC: National Academy Press.
48. Smith, J., & Todd, P. (2000). Does matching overcome Lalonde's critique of nonexperimental estimators? London, ON: University of Western Ontario.
49. Waldfogel, J., Han, W., & Brooks-Gunn, J. (in press). The effects of early maternal employment on child cognitive development. Demography.
50. Wilde, E.T., & Hollister, R. (2002). How close is close enough? Testing nonexperimental estimates of effects against experimental estimates of effect with education test scores as outcomes. Madison, WI: Institute for Research on Poverty.
51. Zaslow, M.J., McGroder, S.M., & Moore, K.A. (2000). The national evaluation of welfare-to-work strategies: effects on young children and their families two years after enrollment: findings from the child outcomes study. Child Trends and DHHS.