IDEAS home Printed from https://ideas.repec.org/a/eee/ecoedu/v32y2013icp140-150.html
   My bibliography  Save this article

Incentives from curriculum tracking

Author

Listed:
  • Koerselman, Kristian

Abstract

Curriculum tracking creates incentives in the years before its start, and we should therefore expect test scores to be higher during those years. I find robust evidence for incentive effects of tracking in the UK based on the UK comprehensive school reform. Results from the Swedish comprehensive school reform are inconclusive. Internationally, I find a large and widening test score gap between early and late tracking countries. Incentive effects of tracking show how early age scores can be endogenous with respect to later-age policies, and add to a growing literature on incentives in education.

Suggested Citation

  • Koerselman, Kristian, 2013. "Incentives from curriculum tracking," Economics of Education Review, Elsevier, vol. 32(C), pages 140-150.
  • Handle: RePEc:eee:ecoedu:v:32:y:2013:i:c:p:140-150
    DOI: 10.1016/j.econedurev.2012.08.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0272775712001094
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.econedurev.2012.08.003?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. Holmlund, Helena, 2007. "A Researcher's Guide to the Swedish Compulsory School Reform," Working Paper Series 9/2007, Stockholm University, Swedish Institute for Social Research.
    2. 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).
    3. Koerselman, Kristian, 2011. "Bias from the use of mean-based methods on test scores," Working Paper Series 1/2011, Stockholm University, Swedish Institute for Social Research.
    4. Jacob, Brian A., 2005. "Accountability, incentives and behavior: the impact of high-stakes testing in the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 761-796, June.
    5. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    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. Derek Neal & Diane Whitmore Schanzenbach, 2010. "Left Behind by Design: Proficiency Counts and Test-Based Accountability," The Review of Economics and Statistics, MIT Press, vol. 92(2), pages 263-283, May.
    8. Jürges, Hendrik & Schneider, Kerstin & Senkbeil, Martin & Carstensen, Claus H., 2012. "Assessment drives learning: The effect of central exit exams on curricular knowledge and mathematical literacy," Economics of Education Review, Elsevier, vol. 31(1), pages 56-65.
    9. Bishop, John, 2006. "Drinking from the Fountain of Knowledge: Student Incentive to Study and Learn - Externalities, Information Problems and Peer Pressure," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 2, chapter 15, pages 909-944, Elsevier.
    10. Heckman, James J., 2011. "Integrating Personality Psychology into Economics," IZA Discussion Papers 5950, Institute of Labor Economics (IZA).
    11. Galindo-Rueda, Fernando & Vignoles, Anna, 2004. "The Heterogeneous Effect of Selection in Secondary Schools: Understanding the Changing Role of Ability," IZA Discussion Papers 1245, Institute of Labor Economics (IZA).
    12. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    13. Gerald Eisenkopf, 2008. "Student Selection and Incentives," TWI Research Paper Series 42, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    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. Holmlund, Helena, 2007. "A Researcher's Guide to the Swedish Compulsory School Reform," Working Paper Series 9/2007, Stockholm University, Swedish Institute for Social Research.
    2. Torberg Falch & Astrid Marie Jorde Sandsør & Bjarne Strøm, 2017. "Do Smaller Classes Always Improve Students’ Long-run Outcomes?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 654-688, October.
    3. Hinnerich, Björn Tyrefors & Vlachos, Jonas, 2017. "The impact of upper-secondary voucher school attendance on student achievement. Swedish evidence using external and internal evaluations," Labour Economics, Elsevier, vol. 47(C), pages 1-14.

    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. Koerselman, Kristian, 2011. "Incentives from Curriculum Tracking: Cross-national and UK Evidence," Working Paper Series 3/2011, Stockholm University, Swedish Institute for Social Research.
    2. Elke Lüdemann, 2011. "Schooling and the Formation of Cognitive and Non-cognitive Outcomes," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 39.
    3. 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.
    4. Stéphane Bonhomme & Ulrich Sauder, 2009. "Accounting for Unobservables in Comparing Selective and Comprehensive Schooling," Working Papers wp2009_0906, CEMFI.
    5. Hille, Adrian & Schupp, Jürgen, 2015. "How Learning a Musical Instrument Affects the Development of Skills," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 44, pages 56-82.
    6. Silke Anger & Daniel D. Schnitzlein, 2017. "Cognitive skills, non-cognitive skills, and family background: evidence from sibling correlations," Journal of Population Economics, Springer;European Society for Population Economics, vol. 30(2), pages 591-620, April.
    7. Ludger Wößmann, 2008. "Efficiency and equity of European education and training policies," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(2), pages 199-230, April.
    8. Ammermüller Andreas, 2005. "Educational Opportunities and the Role of Institutions," ROA Research Memorandum 004, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    9. Heckman, James J. & Raut, Lakshmi K., 2016. "Intergenerational long-term effects of preschool-structural estimates from a discrete dynamic programming model," Journal of Econometrics, Elsevier, vol. 191(1), pages 164-175.
    10. Cordero, Jose M. & Polo, Cristina & Santín, Daniel & Simancas, Rosa, 2018. "Efficiency measurement and cross-country differences among schools: A robust conditional nonparametric analysis," Economic Modelling, Elsevier, vol. 74(C), pages 45-60.
    11. 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.
    12. Rouse, Kathryn & Hunziker, Brooke, 2020. "Child bodyweight and human capital: Test scores, teacher assessments and noncognitive skills," Economics of Education Review, Elsevier, vol. 79(C).
    13. Edwards, Rebecca & Gibson, Rachael & Harmon, Colm & Schurer, Stefanie, 2022. "First-in-their-family students at university: Can non-cognitive skills compensate for social origin?," Economics of Education Review, Elsevier, vol. 91(C).
    14. Koch, Alexander & Nafziger, Julia & Nielsen, Helena Skyt, 2015. "Behavioral economics of education," Journal of Economic Behavior & Organization, Elsevier, vol. 115(C), pages 3-17.
    15. 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.
    16. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    17. Liyousew Gebremedhin Borga, 2019. "Children’s Own Time Use and its Effect on Skill Formation," Journal of Development Studies, Taylor & Francis Journals, vol. 55(5), pages 876-893, May.
    18. Jones, A.M.; & Pastore, C.; & Rice, N.;, 2018. "Tracking pupils into adulthood: selective schools and long-term well-being in the 1958 British cohort," Health, Econometrics and Data Group (HEDG) Working Papers 18/32, HEDG, c/o Department of Economics, University of York.
    19. De Fraja, Gianni & Martínez-Mora, Francisco, 2014. "The desegregating effect of school tracking," Journal of Urban Economics, Elsevier, vol. 80(C), pages 164-177.
    20. 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.

    More about this item

    Keywords

    Incentives; Curriculum tracking; High-stakes testing; Student achievement;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    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:32:y:2013:i:c:p:140-150. 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.