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

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  • Vincent , VANDENBERGHE

    (UNIVERSITE CATHOLIQUE DE LOUVAIN, Institut de Recherches Economiques et Sociales (IRES))

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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 backgroung. 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 the 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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    Bibliographic Info

    Paper provided by Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES) in its series Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) with number 2003029.

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    Length: 25
    Date of creation: 01 Dec 2003
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    Handle: RePEc:ctl:louvir:2003029

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

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    1. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity score matching methods for non-experimental causal studies," Discussion Papers, Columbia University, Department of Economics 0102-14, Columbia University, Department of Economics.
    2. 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, Elsevier, vol. 16(1), pages 39-43, February.
    3. Jeffrey Smith & Petra Todd, 2003. "Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?," University of Western Ontario, CIBC Centre for Human Capital and Productivity Working Papers, University of Western Ontario, CIBC Centre for Human Capital and Productivity 20035, University of Western Ontario, CIBC Centre for Human Capital and Productivity.
    4. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, American Economic Association, vol. 67(4), pages 639-52, September.
    5. Heckman, James & Navarro-Lozano, Salvador, 2003. "Using matching, instrumental variables and control functions to estimate economic choice models," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy 2003:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    6. Brueckner, Jan K. & Lee, Kangoh, 1989. "Club theory with a peer-group effect," Regional Science and Urban Economics, Elsevier, Elsevier, vol. 19(3), pages 399-420, August.
    7. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, Elsevier, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097 Elsevier.
    8. 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).
    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. 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, University of Chicago Press, vol. 19(3), pages 635-57, July.
    11. Alex Bryson & Richard Dorsett & Susan Purdon, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library 4993, London School of Economics and Political Science, LSE Library.
    12. Eric A. Hanushek, 2002. "The Failure of Input-based Schooling Policies," NBER Working Papers 9040, National Bureau of Economic Research, Inc.
    13. Benabou, Roland, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 63(2), pages 237-64, April.
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