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Private, Private Government-Dependent and Public schools. An International Effectiveness Analysis

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  • Vincent Vandenberghe

    (UCL)

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    Abstract

    This paper aims at estimating the effect on achievement of various types of schools: private, private but government-dependent and public ones. It is based on the analysis of Reading test scores of 15-year-old students surveyed in 2002 across OECD and non-OECD countries. The estimation of the effect of private vs. public school attendance may be biased by the existence of confounding factors. An obvious start is to use standard (OLS) regression models to isolate the effect of private/public status from the other determinants of achievement like family resources or socio-economic background. But regression estimates are highly dependent on the validity of the linearity assumption. Hence, the rational for using non-parametric propensity score matching. The main result is that private government-dependent schools can have a significant positive effect on 15 year-olds' academic achievement. Regarding private independent schools, the conclusion is rather the opposite. Our results also support the view that, in most cases, expanding the size of the more effective sector would improve average achievement.

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    File URL: http://128.118.178.162/eps/pe/papers/0312/0312004.pdf
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    Bibliographic Info

    Paper provided by EconWPA in its series Public Economics with number 0312004.

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    Length: 26 pages
    Date of creation: 15 Dec 2003
    Date of revision:
    Handle: RePEc:wpa:wuwppe:0312004

    Note: Type of Document - pdf; prepared on WIN2000PRO; to print on HP; pages: 26
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    Web page: http://128.118.178.162

    Related research

    Keywords: education economics; human capital; resource allocation; school choice; multiple treatments evaluation; propensity score;

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    References

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    1. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers 0102-14, Columbia University, Department of Economics.
    2. Benabou, Roland, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," Review of Economic Studies, Wiley Blackwell, vol. 63(2), pages 237-64, April.
    3. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-52, September.
    4. 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.
    5. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    6. Brueckner, Jan K. & Lee, Kangoh, 1989. "Club theory with a peer-group effect," Regional Science and Urban Economics, Elsevier, vol. 19(3), pages 399-420, August.
    7. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages F64-F98, February.
    8. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
    9. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-77, September.
    10. Glewwe, Paul, 1997. "Estimating the impact of peer group effects on socioeconomic outcomes: Does the distribution of peer group characteristics matter?," Economics of Education Review, Elsevier, vol. 16(1), pages 39-43, February.
    11. Betts, Julian R, 2001. "The Impact of School Resources on Women's Earnings and Educational Attainment: Findings from the National Longitudinal Survey of Young Women," Journal of Labor Economics, University of Chicago Press, vol. 19(3), pages 635-57, July.
    12. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute for the Study of Labor (IZA).
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