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School Value-Added and Long-Term Student Outcomes

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  • Lars J. Kirkebøen

Abstract

Several recent studies find that interventions in schools can have important lasting consequences for students, and that schools differ in their contribution to students’ learning. However, there is less research investigating how these differences between schools influence longer-term outcomes, especially outside the US. In this paper I study the value-added (VA) of Norwegian schools, where between-school differences are smaller than in the US. I find that VA indicators are able to predict in-school performance without bias. Furthermore, VA is strongly related to long-term outcomes, and differences between schools in VA correspond to meaningful differences in long-term outcomes. For example, a one standard deviation higher VA corresponds to 1.9 percent higher earnings at around age 32. Three quasi-experiments using variation from student mobility and changes in neighborhoods’ assignment to schools indicate that the differences captured by the VA indicators do indeed reflect differences in school quality, rather than unobserved student characteristics. Analyses of teacher grades and exam scores suggest that the former are heavily influenced by relative grading, and that the effect of exam score VA on long-term outcomes reflects the effects of competencies and skills acquired in school. In addition to shedding light on the differences in and mechanisms of school quality, the findings help connect learning outcomes with later labor market outcomes, e.g. for cost-benefit analysis of interventions in schools.

Suggested Citation

  • Lars J. Kirkebøen, 2022. "School Value-Added and Long-Term Student Outcomes," CESifo Working Paper Series 9769, CESifo.
  • Handle: RePEc:ces:ceswps:_9769
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    References listed on IDEAS

    as
    1. Joshua D. Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2020. "Simple and Credible Value-Added Estimation Using Centralized School Assignment," Working Papers 2020-186, Becker Friedman Institute for Research In Economics.
    2. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    3. Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017. "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 871-919.
    4. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    5. Eric A. Hanushek & Steven G. Rivkin, 2010. "Generalizations about Using Value-Added Measures of Teacher Quality," American Economic Review, American Economic Association, vol. 100(2), pages 267-271, May.
    6. Joshua Angrist & Peter Hull & Parag Pathak & Christopher Walters, 2016. "Interpreting Tests of School VAM Validity," American Economic Review, American Economic Association, vol. 106(5), pages 388-392, May.
    7. David J. Deming, 2014. "Using School Choice Lotteries to Test Measures of School Effectiveness," American Economic Review, American Economic Association, vol. 104(5), pages 406-411, May.
    8. Jesse Rothstein, 2017. "Measuring the Impacts of Teachers: Comment," American Economic Review, American Economic Association, vol. 107(6), pages 1656-1684, June.
    9. Pedro Carneiro & Italo López García & Kjell G. Salvanes & Emma Tominey, 2021. "Intergenerational Mobility and the Timing of Parental Income," Journal of Political Economy, University of Chicago Press, vol. 129(3), pages 757-788.
    10. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    11. David J. Deming & Justine S. Hastings & Thomas J. Kane & Douglas O. Staiger, 2014. "School Choice, School Quality, and Postsecondary Attainment," American Economic Review, American Economic Association, vol. 104(3), pages 991-1013, March.
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    More about this item

    Keywords

    climate economics; international environmental agreements; coalition formation; heterogeneous countries; integrated assessment models;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D50 - Microeconomics - - General Equilibrium and Disequilibrium - - - General

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