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What Matter for Child Development?

Author

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  • Fali Huang

    (School of Economics and Social Sciences, Singapore Management University)

Abstract

This paper estimates production functions of child cognitive and social development using a panel data of nine-year old children each with over two hundred home and school inputs as well as family background variables. A tree regression method is used to conduct estimation under various specifications. A small subset of inputs is found consistently important in explaining variances of child development results, including the number of books a child has at various ages and how often a mother reads to child by age five, while the effects of race and maternal employment are negligible when detailed inputs are controlled.

Suggested Citation

  • Fali Huang, 2006. "What Matter for Child Development?," Working Papers 24-2006, Singapore Management University, School of Economics.
  • Handle: RePEc:siu:wpaper:24-2006
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    File URL: https://mercury.smu.edu.sg/rsrchpubupload/7245/child_development.pdf
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    References listed on IDEAS

    as
    1. James Heckman, 2011. "Policies to foster human capital," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 73-137.
    2. Blau, Francine D & Grossberg, Adam J, 1992. "Maternal Labor Supply and Children's Cognitive Development," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 474-481, August.
    3. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    4. Durlauf, Steven N & Johnson, Paul A, 1995. "Multiple Regimes and Cross-Country Growth Behaviour," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(4), pages 365-384, Oct.-Dec..
    5. Charles L. Baum II, 2003. "Does Early Maternal Employment Harm Child Development? An Analysis of the Potential Benefits of Leave Taking," Journal of Labor Economics, University of Chicago Press, vol. 21(2), pages 381-408, April.
    6. Christopher J. Ruhm, 2004. "Parental Employment and Child Cognitive Development," Journal of Human Resources, University of Wisconsin Press, vol. 39(1).
    7. Roland G. Fryer & Steven D. Levitt, 2004. "Understanding the Black-White Test Score Gap in the First Two Years of School," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 447-464, May.
    8. Robert Haveman & Barbara Wolfe, 1995. "The Determinants of Children's Attainments: A Review of Methods and Findings," Journal of Economic Literature, American Economic Association, vol. 33(4), pages 1829-1878, December.
    9. Feinstein, Leon & Symons, James, 1999. "Attainment in Secondary School," Oxford Economic Papers, Oxford University Press, vol. 51(2), pages 300-321, April.
    10. Suzanne Bianchi, 2000. "Maternal employment and time with children: Dramatic change or surprising continuity?," Demography, Springer;Population Association of America (PAA), vol. 37(4), pages 401-414, November.
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    Cited by:

    1. Fali Huang & Myoung‐jae Lee, 2009. "Does Television Viewing Affect Children'S Behaviour?," Pacific Economic Review, Wiley Blackwell, vol. 14(4), pages 474-501, October.

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    More about this item

    Keywords

    child development; tree regression method; panel data inequality; economic development;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • J13 - Labor and Demographic Economics - - Demographic Economics - - - Fertility; Family Planning; Child Care; Children; Youth
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General

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