IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v103y2024ics0272775724000761.html
   My bibliography  Save this article

Are separate classrooms inherently unequal? The effect of within-school sorting on the socioeconomic test score gap in Hungary

Author

Listed:
  • Hermann, Zoltán
  • Horváth, Hedvig
  • Kisfalusi, Dorottya

Abstract

This study investigates whether within-school sorting increases socioeconomic test score inequalities. Using universal test score data on 6th- and 8th-grade students in Hungary, we document the extent of within-school sorting in an institutional context where sorting based on ability or prior achievement is rare. We identify sorting schools as schools that systematically assign students with low and high socioeconomic status into different classrooms within the school. Then, exploiting school fixed effects and quasi-exogenous variation in sorting induced by enrollment and class size rules, we show that sorting has a significant and economically meaningful effect on test score inequalities between students from different socioeconomic backgrounds. Sorting harms low-status students, while high-status students gain much less, if anything, from attending sorting schools. We attribute our findings to the within-school reallocation of educational resources and differences in educational practices.

Suggested Citation

  • Hermann, Zoltán & Horváth, Hedvig & Kisfalusi, Dorottya, 2024. "Are separate classrooms inherently unequal? The effect of within-school sorting on the socioeconomic test score gap in Hungary," Economics of Education Review, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:ecoedu:v:103:y:2024:i:c:s0272775724000761
    DOI: 10.1016/j.econedurev.2024.102582
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775724000761
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2024.102582?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daniel Player, 2010. "Nonmonetary Compensation in the Public Teacher Labor Market," Education Finance and Policy, MIT Press, vol. 5(1), pages 82-103, January.
    2. 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.
    3. Gabriel Gutiérrez & John Jerrim & Rodrigo Torres, 2020. "School Segregation Across the World: Has Any Progress Been Made in Reducing the Separation of the Rich from the Poor?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(2), pages 157-179, June.
    4. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    5. Barrett, Nathan & Toma, Eugenia F., 2013. "Reward or punishment? Class size and teacher quality," Economics of Education Review, Elsevier, vol. 35(C), pages 41-52.
    6. Thomas S. Dee & Brian Jacob, 2011. "The impact of no Child Left Behind on student achievement," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 30(3), pages 418-446, June.
    7. repec:bla:ecpoli:v:22:y:2007:i::p:781-861 is not listed on IDEAS
    8. Tommaso Agasisti & Patrizia Falzetti, 2017. "Between-classes sorting within schools and test scores: an empirical analysis of Italian junior secondary schools," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 64(1), pages 1-45, March.
    9. Gábor Kertesi & Gábor Kézdi, 2016. "On the test score gap between Roma and non-Roma students in Hungary and its potential causes," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(1), pages 135-162, January.
    10. Courtney A. Collins & Li Gan, 2013. "Does Sorting Students Improve Scores? An Analysis of Class Composition," NBER Working Papers 18848, National Bureau of Economic Research, Inc.
    11. 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.
    12. Ammermüller, Andreas, 2005. "Educational Opportunities and the Role of Institutions," ZEW Discussion Papers 05-44, ZEW - Leibniz Centre for European Economic Research.
    13. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(3), pages 777-803.
    14. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    15. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob, 2005. "Who teaches whom? Race and the distribution of novice teachers," Economics of Education Review, Elsevier, vol. 24(4), pages 377-392, August.
    16. repec:oup:ecpoli:v:22:y:2007:i::p:781-861 is not listed on IDEAS
    17. Kertesi, Gábor & Varga, Júlia & Hermann, Zoltán, 2024. "A teszteredmények társadalmi egyenlőtlensége és az általános iskolai szegregáció [Segregation in primary schools and the social inequalities in test results in Hungary]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(4), pages 353-378.
    18. Lefgren, Lars, 2004. "Educational peer effects and the Chicago public schools," Journal of Urban Economics, Elsevier, vol. 56(2), pages 169-191, September.
    19. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    20. Gabor Kertesi & Gabor Kezdi, 2012. "Ethnic segregation between Hungarian schools: Long-run trends and geographic distribution," Budapest Working Papers on the Labour Market 1208, Institute of Economics, Centre for Economic and Regional Studies.
    21. Betts, Julian R., 2011. "The Economics of Tracking in Education," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 7, pages 341-381, Elsevier.
    22. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Betts, Julian R. & Hahn, Youjin & Zau, Andrew C., 2017. "Can testing improve student learning? An evaluation of the mathematics diagnostic testing project," Journal of Urban Economics, Elsevier, vol. 100(C), pages 54-64.
    2. Zoltan Hermann, 2013. "Are you on the right track? The effect of educational tracks on student achievement in upper-secondary education in Hungary," Budapest Working Papers on the Labour Market 1316, Institute of Economics, Centre for Economic and Regional Studies.
    3. Wennberg, Karl & Norgren, Axel, 2021. "Models of Peer Effects in Education," Working Papers 21/3, Stockholm School of Economics, Center for Educational Leadership and Excellence.
    4. Marchionni, Mariana & Pinto, Florencia & Vazquez, Emmanuel, 2013. "Determinantes de la desigualdad en el desempeño educativo en la Argentina [Determinants of the inequality in PISA test scores in Argentina]," MPRA Paper 56421, University Library of Munich, Germany.
    5. Joao Firmino & Luis Catela Nunes & Ana Balcao Reis & Carmo Seabra, 2018. "Class composition and student achievement: evidence from Portugal," Nova SBE Working Paper Series wp624, Universidade Nova de Lisboa, Nova School of Business and Economics.
    6. Marchionni, Mariana & Vazquez, Emmanuel & Pinto, Florencia, 2012. "Desigualdad educativa en la Argentina. Análisis en base a los datos PISA 2009 [Education Inequality in Argentina. An analysis based on PISA 2009 data]," MPRA Paper 56420, University Library of Munich, Germany.
    7. 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.
    8. Canaan, Serena, 2020. "The long-run effects of reducing early school tracking," Journal of Public Economics, Elsevier, vol. 187(C).
    9. João Firmino, 2018. "Class composition effects and school welfare: evidence from Portugal using panel data," Working Papers 2018/14, Institut d'Economia de Barcelona (IEB).
    10. Canaan, Serena & Mouganie, Pierre & Zhang, Peng, 2022. "The Long-Run Educational Benefits of High-Achieving Classrooms," IZA Discussion Papers 15039, Institute of Labor Economics (IZA).
    11. Silvia Mendolia & Alfredo R Paloyo & Ian Walker, 2018. "Heterogeneous effects of high school peers on educational outcomes," Oxford Economic Papers, Oxford University Press, vol. 70(3), pages 613-634.
    12. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    13. d'Este, Rocco & Einiö, Elias, 2021. "Beyond Black and White: The Impact of Asian Peers on Scholastic Achievement," Economics of Education Review, Elsevier, vol. 83(C).
    14. Frattini, Tommaso & Meschi, Elena, 2019. "The effect of immigrant peers in vocational schools," European Economic Review, Elsevier, vol. 113(C), pages 1-22.
    15. Burgess, Simon, 2016. "Human Capital and Education: The State of the Art in the Economics of Education," IZA Discussion Papers 9885, Institute of Labor Economics (IZA).
    16. Kiss, David, 2013. "The impact of peer achievement and peer heterogeneity on own achievement growth: Evidence from school transitions," Economics of Education Review, Elsevier, vol. 37(C), pages 58-65.
    17. La Ferrara, Eliana & Carlana, Michela & Pinotti, Paolo, 2017. "Goals and Gaps: Educational Careers of Immigrant Children," CEPR Discussion Papers 12538, C.E.P.R. Discussion Papers.
    18. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    19. Yan Lau, 2019. "The dragon cohort of Hong Kong: traditional beliefs, demographics, and education," Journal of Population Economics, Springer;European Society for Population Economics, vol. 32(1), pages 219-246, January.
    20. Min, Shi & Yuan, Zhouhang & Wang, Xiaobing & Hou, Lingling, 2019. "Do peer effects influence the academic performance of rural students at private migrant schools in China?," China Economic Review, Elsevier, vol. 54(C), pages 418-433.

    More about this item

    Keywords

    Achievement gap; Inequalities; Non-merit-based sorting; Segregation; Within-school sorting;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:103:y:2024:i:c:s0272775724000761. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/econedurev .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.