IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/16914.html
   My bibliography  Save this paper

School Tracking and Access to Higher Education Among Disadvantaged Groups

Author

Listed:
  • Ofer Malamud
  • Cristian Pop-Eleches

Abstract

When students are tracked into vocational and academic secondary schools, access to higher education is usually restricted to those who completed an academic track. Postponing such tracking may increase university attendance among disadvantaged students if additional time in school enables them to catch up with their more privileged counterparts. However, if ability and expectations are fairly well set by an early age, postponing tracking during adolescence may not have much effect. This paper exploits an educational reform in Romania to examine the impact of postponing tracking on the proportion of disadvantaged students graduating from university using a regression discontinuity (RD) design. We show that, although students from poor, rural areas and with less educated parents were significantly more likely to finish an academic track and become eligible to apply for university after the reform, this did not translate into an increase in university completion. Our findings indicate that simply postponing tracking, without increasing the slots available in university, is not sufficient to improve access to higher education for disadvantaged groups.

Suggested Citation

  • Ofer Malamud & Cristian Pop-Eleches, 2011. "School Tracking and Access to Higher Education Among Disadvantaged Groups," NBER Working Papers 16914, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:16914
    Note: ED
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w16914.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Card & Carlos Dobkin & Nicole Maestas, 2004. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization and Health Evidence from Medicare," Working Papers WR-197, RAND Corporation.
    2. Pedro Carneiro & James J. Heckman, 2002. "The Evidence on Credit Constraints in Post--secondary Schooling," Economic Journal, Royal Economic Society, vol. 112(482), pages 705-734, October.
    3. Machin, Erin & McNally, Sandra, 2007. "Educational effects of widening access to the academic track: a natural experiment," LSE Research Online Documents on Economics 3648, London School of Economics and Political Science, LSE Library.
    4. Ofer Malamud & Cristian Pop-Eleches, 2008. "General Education vs. Vocational Training: Evidence from an Economy in Transition," NBER Working Papers 14155, National Bureau of Economic Research, Inc.
    5. Costas Meghir & Mårten Palme, 2005. "Educational Reform, Ability, and Family Background," American Economic Review, American Economic Association, vol. 95(1), pages 414-424, March.
    6. Aakvik, Arild & Salvanes, Kjell G. & Vaage, Kjell, 2003. "Measuring Heterogeneity in the Returns to Education in Norway Using Educational Reforms," IZA Discussion Papers 815, Institute of Labor Economics (IZA).
    7. 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.
    8. 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).
    9. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    10. John DiNardo & David S. Lee, 2004. "Economic Impacts of New Unionization on Private Sector Employers: 1984–2001," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(4), pages 1383-1441.
    11. 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.
    12. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
    13. Bound, John & Turner, Sarah, 2007. "Cohort crowding: How resources affect collegiate attainment," Journal of Public Economics, Elsevier, vol. 91(5-6), pages 877-899, June.
    14. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    15. David Card & Carlos Dobkin & Nicole Maestas, 2008. "The Impact of Nearly Universal Insurance Coverage on Health Care Utilization: Evidence from Medicare," American Economic Review, American Economic Association, vol. 98(5), pages 2242-2258, December.
    16. David S. Lee & Justin McCrary, 2005. "Crime, Punishment, and Myopia," NBER Working Papers 11491, National Bureau of Economic Research, Inc.
    17. Ofer Malamud & Cristian Pop-Eleches, 2010. "General Education versus Vocational Training: Evidence from an Economy in Transition," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 43-60, February.
    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. Canaan, Serena, 2020. "The long-run effects of reducing early school tracking," Journal of Public Economics, Elsevier, vol. 187(C).
    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. Mauricio Villamizar‐Villegas & Freddy A. Pinzon‐Puerto & Maria Alejandra Ruiz‐Sanchez, 2022. "A comprehensive history of regression discontinuity designs: An empirical survey of the last 60 years," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1130-1178, September.
    4. 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.
    5. 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.
    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. Ofer Malamud & Cristian Pop-Eleches, 2008. "General Education vs. Vocational Training: Evidence from an Economy in Transition," Working Papers 0807, Harris School of Public Policy Studies, University of Chicago.
    8. C. Kirabo Jackson, 2010. "Do Students Benefit from Attending Better Schools? Evidence from Rule-based Student Assignments in Trinidad and Tobago," Economic Journal, Royal Economic Society, vol. 120(549), pages 1399-1429, December.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Christelis, Dimitris & Georgarakos, Dimitris & Sanz-de-Galdeano, Anna, 2020. "The impact of health insurance on stockholding: A regression discontinuity approach," Journal of Health Economics, Elsevier, vol. 69(C).
    14. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    15. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    16. 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.
    17. 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).
    18. 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.
    19. Hall, Caroline, 2009. "Does making upper secondary school more comprehensive affect dropout rates, educational attainment and earnings? Evidence from a Swedish pilot scheme," Working Paper Series 2009:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    20. Serena Canaan, 2024. "The Impact of Delaying Early School Tracking on Fertility and Marriage Outcomes," Upjohn Working Papers 24-403, W.E. Upjohn Institute for Employment Research.

    More about this item

    JEL classification:

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

    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:nbr:nberwo:16914. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.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.