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Connecting Child Care Quality to Child Outcomes

Author

Listed:
  • Greg J. Duncan

    (Northwestern University, Evanston, Illinois)

  • Christina M. Gibson-Davis

    (Duke University, Durham, North Carolina)

Abstract

Effective early childhood intervention and child care policies should be based on an understanding of the effects of child care quality and type on child well-being. This article describes methods for securing unbiased estimates of these effects from nonexperimental data. It focuses on longitudinal studies like the one developed by the National Institute of Child Health and Human Development's Early Child Care Research Network. This article first describes bias problems that arise in analyses of nonexperimental data and then explains strategies for controlling for biases arising from parental selection of child care. Next, it comments on attrition in longitudinal studies and outlines some strategies for addressing possible attrition bias. Finally, it discusses the need to translate “effect sizes†derived from these studies into the kinds of cost and benefit information needed by policy makers.

Suggested Citation

  • Greg J. Duncan & Christina M. Gibson-Davis, 2006. "Connecting Child Care Quality to Child Outcomes," Evaluation Review, , vol. 30(5), pages 611-630, October.
  • Handle: RePEc:sae:evarev:v:30:y:2006:i:5:p:611-630
    DOI: 10.1177/0193841X06291530
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    References listed on IDEAS

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    1. Currie, Janet & Thomas, Duncan, 1995. "Does Head Start Make a Difference?," American Economic Review, American Economic Association, vol. 85(3), pages 341-364, June.
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. Jens Ludwig & Greg J. Duncan & Paul Hirschfield, 2001. "Urban Poverty and Juvenile Crime: Evidence from a Randomized Housing-Mobility Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 655-679.
    4. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    5. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    6. Eliana Garces & Duncan Thomas & Janet Currie, 2002. "Longer-Term Effects of Head Start," American Economic Review, American Economic Association, vol. 92(4), pages 999-1012, September.
    7. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    8. Krueger, Alan B & Whitmore, Diane M, 2001. "The Effect of Attending a Small Class in the Early Grades on College-Test Taking and Middle School Test Results: Evidence from Project STAR," Economic Journal, Royal Economic Society, vol. 111(468), pages 1-28, January.
    9. Jennifer Hill & Jane Waldfogel & Jeanne Brooks-Gunn, 2002. "Differential effects of high-quality child care," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 21(4), pages 601-627.
    10. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
    11. David M. Blau, 1999. "The Effect of Child Care Characteristics on Child Development," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 786-822.
    12. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    13. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
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    Cited by:

    1. Larissa Zierow, 2017. "Economic Perspectives on the Implications of Public Child Care and Schooling for Educational Outcomes in Childhood and Adult Life," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 76.
    2. William T. Gormley Jr., 2007. "Early childhood care and education: Lessons and puzzles," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 26(3), pages 633-671.
    3. V. Joseph Hotz & Mo Xiao, 2011. "The Impact of Regulations on the Supply and Quality of Care in Child Care Markets," American Economic Review, American Economic Association, vol. 101(5), pages 1775-1805, August.
    4. Anne Hungerford & Martha J. Cox, 2006. "Family Factors in Child Care Research," Evaluation Review, , vol. 30(5), pages 631-655, October.
    5. Zierow, Larissa, 2017. "Regulating Child Care Markets. Center-based Care vs. Family Day-Care in Germany," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168052, Verein für Socialpolitik / German Economic Association.
    6. Yamauchi, Chikako & Leigh, Andrew, 2011. "Which children benefit from non-parental care?," Economics of Education Review, Elsevier, vol. 30(6), pages 1468-1490.
    7. Jade Marcus Jenkins & Sudhanshu Handa, 2019. "Parenting skills and early childhood development: production function estimates from longitudinal data," Review of Economics of the Household, Springer, vol. 17(1), pages 121-147, March.
    8. Martha Zaslow & Tamara Halle & Laurie Martin & Natasha Cabrera & Julia Calkins & Lindsay Pitzer & Nancy Geyelin Margie, 2006. "Child Outcome Measures in the Study of Child Care Quality," Evaluation Review, , vol. 30(5), pages 577-610, October.

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