IDEAS home Printed from https://ideas.repec.org/p/idb/brikps/12394.html
   My bibliography  Save this paper

Good Schools or Good Students?: Evidence on School Effects from Universal Random Assignment of Students to High Schools

Author

Listed:
  • Cristia, Julian P.
  • Bastos, Paulo
  • Beomsoo, Kim
  • Malamud, Ofer

Abstract

How much do schools differ in their effectiveness? Recent studies that seek to answer this question account for student sorting using random assignment generated by central allocation mechanisms or oversubscribed schools. However, the resulting estimates, while causal, may also reflect peer effects due to differences in peer quality of non-randomized students. We exploit universal random assignment of students to high schools in certain areas of South Korea to provide estimates of school effects that may better reflect the effects of school practices. We find significant effects of schools on scores in high-stakes college entrance exams: a 1 standard deviation increase in school quality leads to 0.06-0.08 standard deviations higher average academic achievement in Korean and English languages. Analogous estimates from areas of South Korea that do not use random assignment, and therefore include the effects of student sorting and peer effects, are substantially higher.

Suggested Citation

  • Cristia, Julian P. & Bastos, Paulo & Beomsoo, Kim & Malamud, Ofer, 2022. "Good Schools or Good Students?: Evidence on School Effects from Universal Random Assignment of Students to High Schools," IDB Publications (Working Papers) 12394, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:12394
    DOI: http://dx.doi.org/10.18235/0004380
    as

    Download full text from publisher

    File URL: https://publications.iadb.org/publications/english/document/Good-schools-or-good-students-evidence-on-school-effects-from-universal-random-assignment-of-students-to-high-schools.pdf
    Download Restriction: no

    File URL: https://libkey.io/http://dx.doi.org/10.18235/0004380?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
    ---><---

    References listed on IDEAS

    as
    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. Alan B. Krueger, 1999. "Experimental Estimates of Education Production Functions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 497-532.
    3. Julie Berry Cullen & Brian A Jacob & Steven Levitt, 2006. "The Effect of School Choice on Participants: Evidence from Randomized Lotteries," Econometrica, Econometric Society, vol. 74(5), pages 1191-1230, September.
    4. Yong Suk Lee, 2012. "Educational Tracking, Residential Sorting, and Intergenerational Mobility," Department of Economics Working Papers 2012-06, Department of Economics, Williams College.
    5. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    6. repec:wil:wileco:2012-08 is not listed on IDEAS
    7. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
    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. Martin Schlotter & Guido Schwerdt & Ludger Woessmann, 2011. "Econometric methods for causal evaluation of education policies and practices: a non-technical guide," Education Economics, Taylor & Francis Journals, vol. 19(2), pages 109-137.
    2. Christopher Belfield & Imran Rasul, 2020. "Cognitive and Non‐Cognitive Impacts of High‐Ability Peers in Early Years," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 65-100, March.
    3. Meghir, Costas & Rivkin, Steven, 2011. "Econometric Methods for Research 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 1, pages 1-87, Elsevier.
    4. Facundo Albornoz & Samuel Berlinski & Antonio Cabrales, 2016. "Motivation, Resources and the Organization of the School System," IDB Publications (Working Papers) 94958, Inter-American Development Bank.
    5. Jackson, C. Kirabo, 2013. "Can higher-achieving peers explain the benefits to attending selective schools? Evidence from Trinidad and Tobago," Journal of Public Economics, Elsevier, vol. 108(C), pages 63-77.
    6. Andreas Ammermueller & Jörn-Steffen Pischke, 2006. "Peer Effects in European Primary Schools: Evidence from PIRLS," CEE Discussion Papers 0065, Centre for the Economics of Education, LSE.
    7. Gerhardts, Ilka & Sunde, Uwe & Zierow, Larissa, 2016. "Denominational Schools and Returns to Education - Gender Socialization in Multigrade Classrooms?," VfS Annual Conference 2016 (Augsburg): Demographic Change 145762, Verein für Socialpolitik / German Economic Association.
    8. Akabayashi, Hideo & Ruberg, Tim & Shikishima, Chizuru & Yamashita, Jun, 2023. "Education-oriented and care-oriented preschools: Implications on child development," Labour Economics, Elsevier, vol. 84(C).
    9. Atila Abdulkadiroğlu & Weiwei Hu & Parag A. Pathak, 2013. "Small High Schools and Student Achievement: Lottery-Based Evidence from New York City," NBER Working Papers 19576, National Bureau of Economic Research, Inc.
    10. Jepsen, Christopher, 2005. "Teacher characteristics and student achievement: evidence from teacher surveys," Journal of Urban Economics, Elsevier, vol. 57(2), pages 302-319, March.
    11. Ahmet Alkan & Sinan Sarpça & Sinan Sarpca, 2023. "Effects of High-Achieving Peers: Findings from a National High School Assignment System," CESifo Working Paper Series 10794, CESifo.
    12. Facundo Albornoz & Samuel Berlinski & Antonio Cabrales, 2018. "Motivation, resources, and the organization of the school system," Journal of the European Economic Association, European Economic Association, vol. 16(1), pages 199-231.
    13. Kugler Franziska & Schwerdt Guido & Wößmann Ludger, 2014. "Ökonometrische Methoden zur Evaluierung kausaler Effekte der Wirtschaftspolitik," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(2), pages 105-132, June.
    14. Miguel Urquiola, 2015. "Progress and challenges in achieving an evidence-based education policy in Latin America and the Caribbean," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 24(1), pages 1-30, December.
    15. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. Paulo Bastos & Julian Cristia & Beomsoo Kim, 2016. "Good schools or good students? Evidence on school effects from universal random assignment of students to high schools," Discussion Paper Series 1607, Institute of Economic Research, Korea University.
    17. Andreas Ammermueller & Jörn-Steffen Pischke, 2009. "Peer Effects in European Primary Schools: Evidence from the Progress in International Reading Literacy Study," Journal of Labor Economics, University of Chicago Press, vol. 27(3), pages 315-348, July.
    18. Shi, Ying, 2020. "Who benefits from selective education? Evidence from elite boarding school admissions," Economics of Education Review, Elsevier, vol. 74(C).
    19. Fanny Landaud & Son Thierry Ly & Éric Maurin, 2020. "Competitive Schools and the Gender Gap in the Choice of Field of Study," Journal of Human Resources, University of Wisconsin Press, vol. 55(1), pages 278-308.
    20. Luc Behaghel & Clément de Chaisemartin & Marc Gurgand, 2017. "Ready for Boarding? The Effects of a Boarding School for Disadvantaged Students," American Economic Journal: Applied Economics, American Economic Association, vol. 9(1), pages 140-164, January.

    More about this item

    Keywords

    School effects; Universal random assignment; Peer effects; School inputs;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:idb:brikps:12394. 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: Felipe Herrera Library (email available below). General contact details of provider: https://edirc.repec.org/data/iadbbus.html .

    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.