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School-level policies and the efficiency and equity trade-off in education

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  • Ferraro, Simona
  • Põder, Kaire

Abstract

This paper identifies the relationship between pupils’ Family Background, their mathematics scores, and school-level policies, using the 2012 Programme of International Student Assessment for Italy and multilevel modelling. School-level policies have played a leading role in recent school reforms in many countries, but there is no straightforward empirical evidence for how they affect pupils’ outcomes and the equality of educational outcomes. Our findings show that that only some school policies intensify the Family Background Effect – (educational equity) and affect student outcomes (educational efficiency) simultaneously. We find that competitive schools are able to screen students by selecting higher socio-economic status parents, which mainly harms equity without having much effect on efficiency. There are some policies which allow some trade-off between aforementioned objectives, mainly policies related to management schools.

Suggested Citation

  • Ferraro, Simona & Põder, Kaire, 2018. "School-level policies and the efficiency and equity trade-off in education," Journal of Policy Modeling, Elsevier, vol. 40(5), pages 1022-1037.
  • Handle: RePEc:eee:jpolmo:v:40:y:2018:i:5:p:1022-1037
    DOI: 10.1016/j.jpolmod.2017.11.001
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    1. Eric Hanushek & Ludger Woessmann, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Journal of Economic Growth, Springer, vol. 17(4), pages 267-321, December.
    2. Wößmann Ludger, 2005. "Educational Production in East Asia: The Impact of Family Background and Schooling Policies on Student Performance," German Economic Review, De Gruyter, vol. 6(3), pages 331-353, August.
    3. Eric A. Hanushek & Ludger Woessmann, 2011. "How much do educational outcomes matter in OECD countries? [‘Accountability and flexibility in public schools: Evidence from Boston’s charters and pilots’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 26(67), pages 427-491.
    4. Thomas Fuchs & Ludger Wößmann, 2008. "What accounts for international differences in student prformance? A re-examination using PISA data," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 209-240, Springer.
    5. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    6. Asteriou, D. & Agiomirgianakis, G. M., 2001. "Human capital and economic growth: Time series evidence from Greece," Journal of Policy Modeling, Elsevier, vol. 23(5), pages 481-489, July.
    7. Bishop, John, 2006. "Drinking from the Fountain of Knowledge: Student Incentive to Study and Learn - Externalities, Information Problems and Peer Pressure," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 15, pages 909-944, Elsevier.
    8. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    9. Massimiliano Bratti & Daniele Checchi & Antonio Filippin, 2007. "Geographical Differences in Italian Students' Mathematical Competencies: Evidence from Pisa 2003," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 66(3), pages 299-333, November.
    10. 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.
    11. Ludger Woessmann & Elke Luedemann & Gabriela Schuetz & Martin R. West, 2009. "School Accountability, Autonomy and Choice Around the World," Books, Edward Elgar Publishing, number 13540.
    12. Agasisti, Tommaso & Cordero-Ferrera, Jose M., 2013. "Educational disparities across regions: A multilevel analysis for Italy and Spain," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1079-1102.
    13. Wößmann, Ludger, 2007. "International evidence on school competition, autonomy, and accountability: A review," Munich Reprints in Economics 19649, University of Munich, Department of Economics.
    14. Ludger Wöbmann & Elke Lüdemann & Gabriela Schütz & Martin R. West, 2007. "School Accountability, Autonomy, Choice, and the Level of Student Achievement: International Evidence from PISA 2003," OECD Education Working Papers 13, OECD Publishing.
    15. Damon Clark, 2009. "The Performance and Competitive Effects of School Autonomy," Journal of Political Economy, University of Chicago Press, vol. 117(4), pages 745-783, August.
    16. Stephen Machin & James Vernoit, 2011. "Changing School Autonomy: Academy Schools and their Introduction to England's Education," CEE Discussion Papers 0123, Centre for the Economics of Education, LSE.
    17. Daniele Checchi, 2004. "Da dove vengono le competenze scolastiche?," Stato e mercato, Società editrice il Mulino, issue 3, pages 413-454.
    18. Caroline Minter Hoxby, 1994. "Do Private Schools Provide Competition for Public Schools?," NBER Working Papers 4978, National Bureau of Economic Research, Inc.
    19. Rosalind Levacic & Anna Vignoles, 2002. "Researching the Links between School Resources and Student Outcomes in the UK: A Review of Issues and Evidence," Education Economics, Taylor & Francis Journals, vol. 10(3), pages 313-331.
    20. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    21. Ludger Wößmann, 2003. "Schooling Resources, Educational Institutions and Student Performance: the International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 117-170, May.
    22. Ponzo, Michela & Scoppa, Vincenzo, 2014. "The long-lasting effects of school entry age: Evidence from Italian students," Journal of Policy Modeling, Elsevier, vol. 36(3), pages 578-599.
    23. Claudio Quintano & Rosalia Castellano & Sergio Longobardi, 2009. "L'influenza dei fattori socio economici sulle competenze degli studenti italiani. Un'analisi multilevel dei dati PISA 2006," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2009(2), pages 109-149.
    24. Ludger Wossmann, 2005. "The effect heterogeneity of central examinations: evidence from TIMSS, TIMSS-Repeat and PISA," Education Economics, Taylor & Francis Journals, vol. 13(2), pages 143-169.
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    3. Agasisti, Tommaso & Longobardi, Sergio & Prete, Vincenzo & Russo, Felice, 2021. "The relevance of educational poverty in Europe: Determinants and remedies," Journal of Policy Modeling, Elsevier, vol. 43(3), pages 692-709.
    4. Vicente, Iván & Pastor, José M. & Soler, Ángel, 2021. "Improving educational resilience in the OECD countries: Two convergent paths," Journal of Policy Modeling, Elsevier, vol. 43(6), pages 1149-1166.
    5. Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020. "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 112-132.
    6. Bhatnagar, Abhishek & Bolia, Nomesh B., 2019. "Improved governance of Indian school system through school consolidation," Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1160-1178.
    7. Granato, Silvia, 2023. "Early Influences and the choice of college major: Can policies reduce the gender gap in scientific curricula (STEM)?," Journal of Policy Modeling, Elsevier, vol. 45(3), pages 494-521.

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    More about this item

    Keywords

    School-level policies; Equity; Efficiency PISA2012; Multilevel modelling;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other

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