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A korai iskolai szelekció hosszú távú hatása. Egy közpolitikai kísérlet tanulságai
[The long-term effects of early educational selection. A quasi-natural policy experiment from Hungary]

Author

Listed:
  • Horn, Dániel
  • Gurzó, Klára

Abstract

Magyarországon az 1990-es években a kisgimnáziumok megnyitásával fokozatosan növekedett az iskolarendszer szelektivitása. Ennek az átmenetnek a sajátosságait kihasználva vizsgáljuk a korai iskolai szelekció és az iskolai, illetve munkaerő-piaci kimenetek közötti oksági kapcsolatot. Az iskolák megalapításának területi és idővarianciájára építve, különbség a különbségekben módszert, település- és kohorsz- fixhatás-modelleket, valamint eseményvizsgálati eljárást alkalmazva becsüljük meg a korai szelekció hatását. Két szempontból is bővítettük az iskolai szelekció meglévő irodalmát: 1. eltérően a korábbiaktól, egy olyan közpolitikai reformot használunk, amelyben bevezették és nem eltörölték a korai iskolai szelekciót; 2. mivel az iskolai szerkezetváltás reformja nem esett egybe más, nagy léptékű oktatási közpolitikai változtatással, ezért önmagában mérhetjük meg a szelekció hatását. Megállapíthatjuk: a korai szelekció nem volt hatással sem az átlagos munkanélküliségi rátára, sem az imputált bérekre, sem a felsőfokú oktatásban részt vevők arányára. A becslések nem bizonyulnak szignifikánsnak, továbbá precíz nulla pontbecsléseket is kapunk. Ez az eredmény önmagában is megkérdőjelezi, hogy van-e értelme fiatal korban szétválasztani a diákokat.* Journal of Economic Literature (JEL) kód: I24, I26, I28, C31.

Suggested Citation

  • Horn, Dániel & Gurzó, Klára, 2015. "A korai iskolai szelekció hosszú távú hatása. Egy közpolitikai kísérlet tanulságai [The long-term effects of early educational selection. A quasi-natural policy experiment from Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(10), pages 1070-1096.
    • Handle: RePEc:ksa:szemle:1587
    DOI: 10.18414/KSZ.2015.10.1070
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    References listed on IDEAS

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    1. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
    2. Piopiunik, Marc, 2014. "The effects of early tracking on student performance: Evidence from a school reform in Bavaria," Economics of Education Review, Elsevier, vol. 42(C), pages 12-33.
    3. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    4. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    5. Caroline Hall, 2012. "The Effects of Reducing Tracking in Upper Secondary School: Evidence from a Large-Scale Pilot Scheme," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 237-269.
    6. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-1774, August.
    7. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    8. Kertesi, Gábor & Köllő, János, 2006. "Felsőoktatási expanzió, "diplomás munkanélküliség" és a diplomák piaci értéke [Expansion of higher education, graduate unemployment and the market value of a degree]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 201-225.
    9. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2010. "Measuring heterogeneity in the returns to education using an education reform," European Economic Review, Elsevier, vol. 54(4), pages 483-500, May.
    10. Zsombor Cseres-Gergely, 2002. "Residential Mobility, Migration and Economic Incentives - the Case of Hungary in 1990-1999," Budapest Working Papers on the Labour Market 0207, Institute of Economics, Centre for Economic and Regional Studies.
    11. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I26 - Health, Education, and Welfare - - Education - - - Returns to Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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