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A Cross-national analysis of the relations between school choice and effectiveness differences between private-independent and public schools

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  • Dronkers, Jaap
  • Avram, S
Abstract
We apply propensity score matching to the estimation of the disparity in school effectiveness between the privately owned, privately funded school sector and the public one in a sample of 25 countries in Europe, America and Asia. This technique allows us to distinguish between school choice and school effectiveness processes and thus, to account for selectivity induced variation in school effectiveness. We find two broad patterns of private independent school choice: the choice as a social class reproduction choice; and the choice of an outsider’s for a good-equipped school. As regards school effectiveness, our results show that, after controlling for selectivity and school choice processes, the initial higher reading scores of students in private-independent schools become comparable to those public schools students in a majority of countries. However, in a few countries average reading scores remain higher in the private independent sector even after introducing controls for school choice induced selectivity. The opposite pattern, namely of higher average reading scores in the public sector has also been found in four countries.

Suggested Citation

  • Dronkers, Jaap & Avram, S, 2010. "A Cross-national analysis of the relations between school choice and effectiveness differences between private-independent and public schools," MPRA Paper 23886, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:23886
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    References listed on IDEAS

    as
    1. Corten, Rense & Dronkers, J., 2005. "School Achievement of Pupils From the Lower Strata in Public, Private Government-Dependent and Private Government-Independent Schools: A cross-national test of the Coleman-Hoffer thesis," MPRA Paper 21885, University Library of Munich, Germany.
    2. 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.
    3. Dronkers, Jaap & Avram, S, 2009. "A cross-national analysis of the relations between school choice and effectiveness differences between private-dependent and public schools," MPRA Paper 23911, University Library of Munich, Germany.
    4. Neal, Derek, 1997. "The Effects of Catholic Secondary Schooling on Educational Achievement," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 98-123, January.
    5. Dronkers, J. & Robert, Peter, 2005. "School choice in the light of the effectiveness differences of various types of public and private school in 19 OECD countries," MPRA Paper 21888, University Library of Munich, Germany.
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    Cited by:

    1. Cavalletti, Barbara & Corsi, Matteo & Persico, Luca & di Bella, Enrico, 2021. "Public university orientation for high-school students. A quasi-experimental assessment of the efficiency gains from nudging better career choices," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    2. Dronkers, Jaap & Avram, S, 2009. "A cross-national analysis of the relations between school choice and effectiveness differences between private-dependent and public schools," MPRA Paper 23911, University Library of Munich, Germany.
    3. Burger, Kaspar, 2016. "Intergenerational transmission of education in Europe: Do more comprehensive education systems reduce social gradients in student achievement?," MPRA Paper 95310, University Library of Munich, Germany, revised 2016.
    4. Erik O Kimbrough & J Philipp Reiss, 2012. "Measuring the Distribution of Spitefulness," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-8, August.
    5. Ceron, Francisco I. & Bol, Thijs & van de Werfhorst, Herman G., 2022. "The dynamics of achievement inequality: The role of performance and choice in Chile," International Journal of Educational Development, Elsevier, vol. 92(C).
    6. José Manuel Cordero & Diego Prior & Rosa Simancas, 2016. "A comparison of public and private schools in Spain using robust nonparametric frontier methods," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 24(3), pages 659-680, September.
    7. Gilberto Turati & Daniel Montolio & Massimiliano Piacenza, 2011. "Fiscal decentralisation, private school funding, and students’ achievements. A tale from two roman catholic countries," Working Papers 2011/44, Institut d'Economia de Barcelona (IEB).
    8. Tommaso Agasisti & María Gil-Izquierdo & Seong Won Han, 2020. "ICT Use at home for school-related tasks: what is the effect on a student’s achievement? Empirical evidence from OECD PISA data," Education Economics, Taylor & Francis Journals, vol. 28(6), pages 601-620, November.
    9. Adachi, Yoshimi & Kitamura, Tomoki, 2021. "Impact of the Financial Support Program for High School Students in Japan," MPRA Paper 106769, University Library of Munich, Germany.
    10. Thomas Wouters & Zoltan Hermann & Carla Haelermans, 2018. "Demand for secondary school characteristics - Evidence from school choice data in Hungary," Budapest Working Papers on the Labour Market 1803, Institute of Economics, Centre for Economic and Regional Studies.
    11. Gilberto Turati & Daniel Montolio & Massimiliano Piacenza, 2011. "Fiscal decentralisation, private school funding, and students’ achievements. A tale from two roman catholic countries," Working Papers 2011/44, Institut d'Economia de Barcelona (IEB).
    12. Cordero, José Manuel & Prior, Diego & Simancas Rodríguez, Rosa, 2013. "A comparison of public and private schools in Spain using robust nonparametric frontier methods," MPRA Paper 51375, University Library of Munich, Germany.
    13. Dronkers, Jaap & van der Velden, Rolf & Dunne, Allison, 2011. "Why are migrant students better off in certain types of educational systems or schools than in others?," MPRA Paper 37261, University Library of Munich, Germany.
    14. José M. Cordero & Víctor Cristóbal & Daniel Santín, 2018. "Causal Inference On Education Policies: A Survey Of Empirical Studies Using Pisa, Timss And Pirls," Journal of Economic Surveys, Wiley Blackwell, vol. 32(3), pages 878-915, July.
    15. Dronkers, J. & van der Velden, R.K.W. & Dunne, Allison, 2011. "The effects of educational systems, school-composition, track-level, parental background and immigrants' origin on the achievement of 15-years old native and immigrant students. A reanalysis of PISA 2," Research Memorandum 033, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    16. Jaap Dronkers & Rolf van der Velden & Allison Dunne, 2012. "Why are migrant students better off in certain types of educational systems or schools than in others? On the effects of educational systems, school composition, track level, parental background, and ," RF Berlin - CReAM Discussion Paper Series 1215, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
    17. Avram, S & Dronkers, Jaap, 2010. "School sector variation on non-cognitive dimensions: are denominational schools different?," MPRA Paper 24295, University Library of Munich, Germany.

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    More about this item

    Keywords

    school choice; school effectiveness; PISA data; public schools; private government-independent schools;
    All these keywords.

    JEL classification:

    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations
    • I2 - Health, Education, and Welfare - - Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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