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Teacher heterogeneity, value-added and education policy

Author

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  • Condie, Scott
  • Lefgren, Lars
  • Sims, David

Abstract

This study examines the theoretical and practical implications of ranking teachers with a one-dimensional value-added metric when teacher effectiveness varies across subjects or student types. We create a theoretical framework which suggests specific tests of the standard teacher input homogeneity assumption. Using North Carolina data we show that value-added fails to empirically meet these tests and document that this leads to a large number of teacher misrankings. Thus, critics of potential value-added teacher personnel policies are correct that such policies will terminate many of the wrong teachers. However, we derive the conditions under which such policies will improve student test scores and find that they will almost certainly be met. We then demonstrate that value-added information can also be used to improve student test scores by matching teachers to students or subjects according to their comparative advantage. These matching gains likely exceed those of a feasible, value-added based firing policy.

Suggested Citation

  • Condie, Scott & Lefgren, Lars & Sims, David, 2014. "Teacher heterogeneity, value-added and education policy," Economics of Education Review, Elsevier, vol. 40(C), pages 76-92.
  • Handle: RePEc:eee:ecoedu:v:40:y:2014:i:c:p:76-92
    DOI: 10.1016/j.econedurev.2013.11.009
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    References listed on IDEAS

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    14. J. R. Lockwood & Daniel F. McCaffrey, 2009. "Exploring Student-Teacher Interactions in Longitudinal Achievement Data," Education Finance and Policy, MIT Press, vol. 4(4), pages 439-467, October.
    15. Sean F. Reardon & Stephen W. Raudenbush, 2009. "Assumptions of Value-Added Models for Estimating School Effects," Education Finance and Policy, MIT Press, vol. 4(4), pages 492-519, October.
    16. Douglas N. Harris, 2009. "Would Accountability Based on Teacher Value Added Be Smart Policy? An Examination of the Statistical Properties and Policy Alternatives," Education Finance and Policy, MIT Press, vol. 4(4), pages 319-350, October.
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    Citations

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    Cited by:

    1. Figlio, D. & Karbownik, K. & Salvanes, K.G., 2016. "Education Research and Administrative Data," Handbook of the Economics of Education,, Elsevier.
    2. Cory Koedel & Jiaxi Li & Matthew G. Springer & Li Tan, 2018. "Teacher Performance Ratings and Professional Improvement," Working Papers 1808, Department of Economics, University of Missouri.
    3. Eric Isenberg & Jeffrey Max & Philip Gleason & Matthew Johnson & Jonah Deutsch & Michael Hansen, "undated". "Do Low-Income Students Have Equal Access to Effective Teachers? Evidence from 26 Districts (Final Report)," Mathematica Policy Research Reports ce9ae6b49ff34e388113f31ca, Mathematica Policy Research.
    4. Lindsay Fox, 2016. "Playing to Teachers’ Strengths: Using Multiple Measures of Teacher Effectiveness to Improve Teacher Assignments," Education Finance and Policy, MIT Press, vol. 11(1), pages 70-96, Winter.
    5. Stacy, Brian, 2014. "Ranking Teachers when Teacher Value-Added is Heterogeneous Across Students," EconStor Preprints 104743, ZBW - Leibniz Information Centre for Economics.
    6. Michael Bates & Michael Dinerstein & Andrew C. Johnston & Isaac Sorkin, 2022. "Teacher Labor Market Equilibrium and Student Achievement," CESifo Working Paper Series 9551, CESifo.
    7. Cook, Jason B. & Mansfield, Richard K., 2016. "Task-specific experience and task-specific talent: Decomposing the productivity of high school teachers," Journal of Public Economics, Elsevier, vol. 140(C), pages 51-72.
    8. Tom Ahn & Esteban Aucejo & Jonathan James, 2021. "The Importance of Matching Effects for Labor Productivity: Evidence from Teacher-Student Interactions," Working Papers 2106, California Polytechnic State University, Department of Economics.
    9. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    10. Dahlstrand Rudin, Amanda, 2022. "Defying distance? The provision of services in the digital age," LSE Research Online Documents on Economics 118042, London School of Economics and Political Science, LSE Library.
    11. Amanda Dahlstrand, 2022. "Defying distance? The provision of services in the digital age," CEP Discussion Papers dp1889, Centre for Economic Performance, LSE.
    12. Cory Koedel & Jiaxi Li & Matthew G. Springer & Li Tan, 2016. "The Impact of Performance Ratings on Job Satisfaction for Public School Teachers," Working Papers 1617, Department of Economics, University of Missouri.
    13. Backes, Ben & Cowan, James & Goldhaber, Dan & Koedel, Cory & Miller, Luke C. & Xu, Zeyu, 2018. "The common core conundrum: To what extent should we worry that changes to assessments will affect test-based measures of teacher performance?," Economics of Education Review, Elsevier, vol. 62(C), pages 48-65.

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    More about this item

    Keywords

    Value-added; Teacher heterogeneity; Education policy;
    All these keywords.

    JEL classification:

    • I2 - Health, Education, and Welfare - - Education
    • J4 - Labor and Demographic Economics - - Particular Labor Markets

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