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The Treatment Effect of Attending a High-Quality School and the Influence of Unobservables

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  • Ronny Freier
  • Johanna Storck

Abstract

This paper studies the effect of attending a high-quality secondary school on subsequent educational outcomes. The analysis is based on data from the German Socio-Economic Panel Study in which we observe children when they make their secondary school choice (between ages 10-12) and later when they self-report on their intentions with regard to their further educational path (between ages 16-17). To identify the treatment effect, we use a regression-control framework as well as an instrumental variable approach (based on local supply of schools). In a second step, we carefully examine the influence of unobservable characteristics, using the new technique proposed by Altonji, Elder, and Taber (2005b). Our findings suggest that unobservable characteristics are indeed crucial to the validity of the research design. While we find large positive and significant effects of attending a high-quality school, we cannot rule out that the estimates are not in fact driven by selection on unobservables.

Suggested Citation

  • Ronny Freier & Johanna Storck, 2012. "The Treatment Effect of Attending a High-Quality School and the Influence of Unobservables," Discussion Papers of DIW Berlin 1256, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp1256
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    1. 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.
    2. Robert Bifulco & Jason M. Fletcher & Stephen L. Ross, 2011. "The Effect of Classmate Characteristics on Post-secondary Outcomes: Evidence from the Add Health," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 25-53, February.
    3. Eric D. Gould & Victor Lavy & M. Daniele Paserman, 2009. "Does Immigration Affect the Long‐Term Educational Outcomes of Natives? Quasi‐Experimental Evidence," Economic Journal, Royal Economic Society, vol. 119(540), pages 1243-1269, October.
    4. Nicole Schneeweis & Rudolf Winter-Ebmer, 2008. "Peer effects in Austrian schools," Studies in Empirical Economics, in: Christian Dustmann & Bernd Fitzenberger & Stephen Machin (ed.), The Economics of Education and Training, pages 133-155, Springer.
    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. Sandra E. Black, 1999. "Do Better Schools Matter? Parental Valuation of Elementary Education," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 577-599.
    7. Patrick Bayer & Fernando Ferreira & Robert McMillan, 2007. "A Unified Framework for Measuring Preferences for Schools and Neighborhoods," Journal of Political Economy, University of Chicago Press, vol. 115(4), pages 588-638, August.
    8. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
    9. Vardardottir, Arna, 2013. "Peer effects and academic achievement: a regression discontinuity approach," Economics of Education Review, Elsevier, vol. 36(C), pages 108-121.
    10. Marc Frenette, 2006. "Too Far to Go On? Distance to School and University Participation," Education Economics, Taylor & Francis Journals, vol. 14(1), pages 31-58.
    11. Falch, Torberg & Lujala, Päivi & Strøm, Bjarne, 2013. "Geographical constraints and educational attainment," Regional Science and Urban Economics, Elsevier, vol. 43(1), pages 164-176.
    12. 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, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    13. Spiess, C. Katharina & Wrohlich, Katharina, 2010. "Does distance determine who attends a university in Germany?," Economics of Education Review, Elsevier, vol. 29(3), pages 470-479, June.
    14. Frenette, Marc, 2009. "Do universities benefit local youth? Evidence from the creation of new universities," Economics of Education Review, Elsevier, vol. 28(3), pages 318-328, June.
    15. Victor Lavy & Olmo Silva & Felix Weinhardt, 2012. "The Good, the Bad, and the Average: Evidence on Ability Peer Effects in Schools," Journal of Labor Economics, University of Chicago Press, vol. 30(2), pages 367-414.
    16. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    17. Denzler, Stefan & Wolter, Stefan C., 2011. "Too Far to Go? Does Distance Determine Study Choices?," IZA Discussion Papers 5712, Institute of Labor Economics (IZA).
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    Cited by:

    1. Daniel A. Kamhöfer & Hendrik Schmitz, 2013. "Analyzing Zero Returns to Education in Germany – Heterogeneous Eff ects and Skill Formation," Ruhr Economic Papers 0446, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    2. Freier, Ronny & Schumann, Mathias & Siedler, Thomas, 2015. "The earnings returns to graduating with honors — Evidence from law graduates," Labour Economics, Elsevier, vol. 34(C), pages 39-50.
    3. Kamhöfer, Daniel A. & Schmitz, Hendrik, 2013. "Analyzing Zero Returns to Education in Germany – Heterogeneous Effects and Skill Formation," Ruhr Economic Papers 446, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. repec:zbw:rwirep:0446 is not listed on IDEAS
    5. Schumann, Mathias & Freier, Ronny & Siedler, Thomas, 2014. "The Economic Returns to Graduating with Honors - Evidence from Law Graduates," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100338, Verein für Socialpolitik / German Economic Association.

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    More about this item

    Keywords

    secondary school choice; school quality instrumental variable estimation; selection on unobservables;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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