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Selective Schools and Academic Achievement

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  • Clark, Damon

    (University of California, Irvine)

Abstract

In this paper I consider the impact of attending a selective high school in the UK. Students are assigned to these schools on the basis of a test taken in primary school and, using data on these assignment test scores for a particular district, I exploit this rule to estimate the causal effects of selective schools on test scores, high school course taking and university enrollment. Despite the huge peer advantage enjoyed by selective school students, I show that four years of selective school attendance generates at best small effects on test scores. Selective schools do however have positive effects on course-taking and university enrollment, evidence suggesting they may have important longer run impacts.

Suggested Citation

  • Clark, Damon, 2007. "Selective Schools and Academic Achievement," IZA Discussion Papers 3182, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3182
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    1. Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005. "Teachers, Schools, and Academic Achievement," Econometrica, Econometric Society, vol. 73(2), pages 417-458, March.
    2. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    3. Steven Mcintosh, 2006. "Further Analysis of the Returns to Academic and Vocational Qualifications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(2), pages 225-251, April.
    4. 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).
    5. 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.
    6. Adele Atkinson & Paul Gregg & Brendon McConnell, 2006. "The Result of 11 Plus Selection: An Investigation into Opportunities and Outcomes for Pupils in Selective LEAs," The Centre for Market and Public Organisation 06/150, The Centre for Market and Public Organisation, University of Bristol, UK.
    7. Lorraine Dearden & Javier Ferri & Costas Meghir, 2002. "The Effect Of School Quality On Educational Attainment And Wages," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 1-20, February.
    8. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
    9. Ariga, Kenn & Brunello, Giorgio, 2007. "Does Secondary School Tracking Affect Performance? Evidence from IALS," IZA Discussion Papers 2643, Institute of Labor Economics (IZA).
    10. Joshua D. Angrist & Kevin Lang, 2004. "Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program," American Economic Review, American Economic Association, vol. 94(5), pages 1613-1634, December.
    11. Cullen, Julie Berry & Jacob, Brian A. & Levitt, Steven D., 2005. "The impact of school choice on student outcomes: an analysis of the Chicago Public Schools," Journal of Public Economics, Elsevier, vol. 89(5-6), pages 729-760, June.
    12. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    13. Stacy Berg Dale & Alan B. Krueger, 2002. "Estimating the Payoff to Attending a More Selective College: An Application of Selection on Observables and Unobservables," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1491-1527.
    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;CES;MSH, vol. 22(52), pages 782-861.
    15. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, Oxford University Press, vol. 110(4), pages 941-974.
    16. Hanushek, Eric, 1971. "Teacher Characteristics and Gains in Student Achievement: Estimation Using Micro Data," American Economic Review, American Economic Association, vol. 61(2), pages 280-288, May.
    17. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    18. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    19. Philip Oreopoulos, 2006. "Estimating Average and Local Average Treatment Effects of Education when Compulsory Schooling Laws Really Matter," American Economic Review, American Economic Association, vol. 96(1), pages 152-175, March.
    20. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 681-704.
    21. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    22. Neal, Derek, 1997. "The Effects of Catholic Secondary Schooling on Educational Achievement," Journal of Labor Economics, University of Chicago Press, vol. 15(1), pages 98-123, January.
    23. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    24. Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2006. "Preferences and Heterogeneous Treatment Effects in a Public School Choice Lottery," NBER Working Papers 12145, National Bureau of Economic Research, Inc.
    25. Summers, Anita A & Wolfe, Barbara L, 1977. "Do Schools Make a Difference?," American Economic Review, American Economic Association, vol. 67(4), pages 639-652, September.
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    More about this item

    Keywords

    selective schools; education; instrumental variables;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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