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Evaluating the effectiveness of private education across countries: a comparison of methods

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  • Vandenberghe, V.
  • Robin, S.
Abstract
This paper aims at estimating the effect of private vs. public education on pupils' achievement using the 2000 Organisation for Economic Co-operation and Development (OECD) Program for International Student Assessment (PISA) survey and taking into account the potential bias due to the existence of unobserved confounding factors. To deal with these selection biases, three methods are implemented in a comparative perspective: (1) instrumental variable (IV) regression; (2) Heckman's two-stage approach and (3) propensity score matching. This exercise underlines important divergences between the results of parametric and non-parametric estimators. All results, however, show that private education does not generate systematic benefits.
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Suggested Citation

  • Vandenberghe, V. & Robin, S., 2004. "Evaluating the effectiveness of private education across countries: a comparison of methods," Labour Economics, Elsevier, vol. 11(4), pages 487-506, August.
  • Handle: RePEc:eee:labeco:v:11:y:2004:i:4:p:487-506
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    1. Caroline Minter Hoxby, 1996. "How Teachers' Unions Affect Education Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(3), pages 671-718.
    2. Rivkin, Steven G., 2001. "Tiebout sorting, aggregation and the estimation of peer group effects," Economics of Education Review, Elsevier, vol. 20(3), pages 201-209, June.
    3. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    4. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    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. 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.
    7. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    8. Roland Bénabou, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 63(2), pages 237-264.
    9. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
    10. Patrick McEwan, 2001. "The Effectiveness of Public, Catholic, and Non-Religious Private Schools in Chile's Voucher System," Education Economics, Taylor & Francis Journals, vol. 9(2), pages 103-128.
    11. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    12. Caroline M. Hoxby, 2000. "Does Competition among Public Schools Benefit Students and Taxpayers?," American Economic Review, American Economic Association, vol. 90(5), pages 1209-1238, December.
    13. Caroline M. Hoxby, 2000. "The Effects of Class Size on Student Achievement: New Evidence from Population Variation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(4), pages 1239-1285.
    14. Schmidt, Christoph M., 1999. "Knowing What Works: The Case for Rigorous Program Evaluation," IZA Discussion Papers 77, Institute of Labor Economics (IZA).
    15. V. Vandenberghe, 2002. "Evaluating the magnitude and the stakes of peer effects analysing science and math achievement across OECD," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1283-1290.
    16. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    17. Ron W Zimmer & Eugenia F Toma, 2000. "Peer effects in private and public schools across countries," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 75-92.
    18. 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 1141-1177, September.
    19. Eric A. Hanushek, 2003. "The Failure of Input-Based Schooling Policies," Economic Journal, Royal Economic Society, vol. 113(485), pages 64-98, February.
    20. 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.
    21. 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 635-657, July.
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