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France’s Almost Public Private Schools

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  • Giuseppe Bertola

Abstract

This paper characterizes the determinants and implications of private schooling in a large and detailed set of French data. Empirical models detect negative selection into private schooling on observable and unobservable ability, while State-provided education appears more suitable to students with culturally privileged family backgrounds and high observed ability. The estimated effects are small, as private schools are tightly regulated, but statistically significant and of some interest in a country that supplies abundant public funding to regulated private schools.

Suggested Citation

  • Giuseppe Bertola, 2015. "France’s Almost Public Private Schools," CESifo Working Paper Series 5690, CESifo.
    • Handle: RePEc:ces:ceswps:_5690
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp5690.pdf
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    References listed on IDEAS

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    1. Giuseppe Bertola & Daniele Checchi, 2013. "Who Chooses Which Private Education? Theory and International Evidence," LABOUR, CEIS, vol. 27(3), pages 249-271, September.
    2. Gianni de Fraja, 2002. "The Design of Optimal Education Policies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 69(2), pages 437-466.
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    4. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    5. Giuseppe Bertola & Daniele Checchi & Veruska Oppedisano, 2007. "Private School Quality in Italy," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(3), pages 375-400, November.
    6. 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.
    7. Joanie Cayouette-Remblière & Thibaut de Saint Pol, 2013. "Le sinueux chemin vers le baccalauréat : entre redoublement, réorientation et décrochage scolaire," Économie et Statistique, Programme National Persée, vol. 459(1), pages 59-88.
    8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    9. Michael Lokshin & Zurab Sajaia, 2011. "Impact of interventions on discrete outcomes: Maximum likelihood estimation of the binary choice models with binary endogenous regressors," Stata Journal, StataCorp LP, vol. 11(3), pages 368-385, September.
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    Cited by:

    1. Torben M. Andersen & Giuseppe Bertola & John Driffill & Harold James & Hans-Werner Sinn & Jan-Egbert Sturm & Branko Uroševic, 2016. "Chapter 3: Tuning Secondary Education," EEAG Report on the European Economy, CESifo, vol. 0, pages 70-84, February.
    2. Seo, Chunghyeon & Kruis, Nathan E., 2022. "The impact of school’s security and restorative justice measures on school violence," Children and Youth Services Review, Elsevier, vol. 132(C).
    3. Aleksei Chernulich & Romain Gauriot & Daehong Min, 2023. "Endogenous Tracking: Sorting and Peer Effects," Working Papers 20230084, New York University Abu Dhabi, Department of Social Science, revised Jan 2023.

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    More about this item

    Keywords

    education financing; family background; school selection;
    All these keywords.

    JEL classification:

    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

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