IDEAS home Printed from https://ideas.repec.org/a/eee/labeco/v29y2014icp62-71.html
   My bibliography  Save this article

Exams, districts, and intergenerational mobility: Evidence from South Korea

Author

Listed:
  • Lee, Yong Suk

Abstract

This paper examines how student assignment rules impact intergenerational mobility. High school admission had traditionally been exam based in South Korea. However, between 1974 and 1980 the central government shifted several cities to a school district based admission system. I estimate the impact of this reform on the intergenerational income elasticity. Results indicate that the reform increased the intergenerational income elasticity from 0.15 to 0.31. Furthermore, I find that district assignment increases the impact of parental income on migration to reform cities. The probability of migration associated with a 10% increase in parental income increased by 1.7 percentage points after the reform. In sum, I find that the shift from a merit to a location based student assignment rule decreases intergenerational mobility and promotes selective migration by higher income households.

Suggested Citation

  • Lee, Yong Suk, 2014. "Exams, districts, and intergenerational mobility: Evidence from South Korea," Labour Economics, Elsevier, vol. 29(C), pages 62-71.
  • Handle: RePEc:eee:labeco:v:29:y:2014:i:c:p:62-71
    DOI: 10.1016/j.labeco.2014.05.006
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927537114000694
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.labeco.2014.05.006?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. World Bank, 2005. "Expanding Opportunities and Building Competencies for Young People : A New Agenda for Secondary Education," World Bank Publications - Books, The World Bank Group, number 7429.
    2. 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.
    3. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    4. Pekkarinen, Tuomas & Uusitalo, Roope & Kerr, Sari, 2009. "School tracking and intergenerational income mobility: Evidence from the Finnish comprehensive school reform," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 965-973, August.
    5. Manning, Alan & Pischke, Jörn-Steffen, 2006. "Comprehensive versus Selective Schooling in England in Wales: What Do We Know?," IZA Discussion Papers 2072, Institute of Labor Economics (IZA).
    6. 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.
    7. Black, Sandra E. & Devereux, Paul J., 2011. "Recent Developments in Intergenerational Mobility," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 16, pages 1487-1541, Elsevier.
    8. Gary Solon, 2002. "Cross-Country Differences in Intergenerational Earnings Mobility," Journal of Economic Perspectives, American Economic Association, vol. 16(3), pages 59-66, Summer.
    9. Lee, Yong Suk, 2015. "School districting and the origins of residential land price inequality," Journal of Housing Economics, Elsevier, vol. 28(C), pages 1-17.
    10. Dearden, Lorraine & Machin, Stephen & Reed, Howard, 1997. "Intergenerational Mobility in Britain," Economic Journal, Royal Economic Society, vol. 107(440), pages 47-66, January.
    11. Changhui Kang & Cheolsung Park & Myoung-Jae Lee, 2007. "Effects of ability mixing in high school on adulthood earnings: quasiexperimental evidence from South Korea," Journal of Population Economics, Springer;European Society for Population Economics, vol. 20(2), pages 269-297, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ahn, Taehyun & Goh, Young-Geun, 2021. "The long-term influences of ability mixing on soft skills," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 367-386.
    2. Lee, Yong Suk, 2015. "School districting and the origins of residential land price inequality," Journal of Housing Economics, Elsevier, vol. 28(C), pages 1-17.
    3. Dang, Thang, 2015. "Intergenerational mobility of earnings and income among sons and daughters in Vietnam," MPRA Paper 75357, University Library of Munich, Germany.
    4. Dustmann, Christian & Ku, Hyejin & Kwak, Do Won, 2018. "Why Are Single-Sex Schools Successful?," Labour Economics, Elsevier, vol. 54(C), pages 79-99.

    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. Sari Pekkala Kerr & Tuomas Pekkarinen & Roope Uusitalo, 2013. "School Tracking and Development of Cognitive Skills," Journal of Labor Economics, University of Chicago Press, vol. 31(3), pages 577-602.
    2. Lange, Simon & von Werder, Marten, 2017. "Tracking and the intergenerational transmission of education: Evidence from a natural experiment," Economics of Education Review, Elsevier, vol. 61(C), pages 59-78.
    3. Nicole Schneeweis & Martina Zweimüller, 2014. "Early Tracking and the Misfortune of Being Young," Scandinavian Journal of Economics, Wiley Blackwell, vol. 116(2), pages 394-428, April.
    4. Marc Piopiunik, 2011. "Microeconometric Analyses of Education Production in Germany," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 40.
    5. 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.
    6. 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.
    7. Kangoh Lee, 2015. "Higher education expansion, tracking, and student effort," Journal of Economics, Springer, vol. 114(1), pages 1-22, January.
    8. Suzanne Bellue & Lukas Mahler, 2024. "Efficiency and Equity of Education Tracking A Quantitative Analysis," CRC TR 224 Discussion Paper Series crctr224_2024_546, University of Bonn and University of Mannheim, Germany.
    9. 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.
    10. Sajid Amin Javed & Mohammad Irfan, 2014. "Intergenerational Mobility: Evidence from Pakistan Panel Household Survey," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 53(2), pages 175-203.
    11. Robert Lucas & Sari Kerr, 2013. "Intergenerational income immobility in Finland: contrasting roles for parental earnings and family income," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(3), pages 1057-1094, July.
    12. Huebener, Mathias, 2015. "The role of paternal risk attitudes in long-run education outcomes and intergenerational mobility," Economics of Education Review, Elsevier, vol. 47(C), pages 64-79.
    13. 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.
    14. Jens Ruhose, 2015. "Microeconometric Analyses on Economic Consequences of Selective Migration," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 61.
    15. Borghans, By Lex & Diris, Ron & Smits, Wendy & de Vries, Jannes, 2020. "Should we sort it out later? The effect of tracking age on long-run outcomes," Economics of Education Review, Elsevier, vol. 75(C).
    16. Quheng Deng & Björn Gustafsson & Shi Li, 2013. "Intergenerational Income Persistence in Urban China," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 59(3), pages 416-436, September.
    17. Martina Zweimuller, 2013. "The Effects of School Entry Laws on Educational Attainment and Starting Wages in an Early Tracking System," Annals of Economics and Statistics, GENES, issue 111-112, pages 141-169.
    18. Malamud, Ofer & Pop-Eleches, Cristian, 2011. "School tracking and access to higher education among disadvantaged groups," Journal of Public Economics, Elsevier, vol. 95(11), pages 1538-1549.
    19. Canaan, Serena, 2020. "The long-run effects of reducing early school tracking," Journal of Public Economics, Elsevier, vol. 187(C).
    20. Uta Bolt & Eric French & Jamie Hentall-MacCuish & Cormac O'Dea, 2021. "The intergenerational elasticity of earnings: exploring the mechanisms," IFS Working Papers W21/07, Institute for Fiscal Studies.

    More about this item

    Keywords

    Intergenerational mobility; Merit based admission; School districts; Migration;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

    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:labeco:v:29:y:2014:i:c:p:62-71. 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/labeco .

    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.