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Sensitivity of Teacher Value-Added Estimates to Student and Peer Control Variables

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  • Matthew Johnson
  • Stephen Lipscomb
  • Brian Gill

Abstract

This working paper examines the sensitivity and precision of teacher value-added model (VAM) estimates obtained under model specifications that differ based on whether they include student-level background characteristics, peer-level background characteristics, and/or a double-lagged achievement score. It also tests two model variations not previously evaluated—replacing classroom average peer characteristics with teacher-year level averages, or allowing for variation in the relationship between current and lagged achievement scores based on student demographic characteristics—to determine whether they affect the VAM estimates.

Suggested Citation

  • Matthew Johnson & Stephen Lipscomb & Brian Gill, 2013. "Sensitivity of Teacher Value-Added Estimates to Student and Peer Control Variables," Mathematica Policy Research Reports 3f875df699534c72b9e57c39d, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:3f875df699534c72b9e57c39dacedd04
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/education/value-added_estimates_wp.pdf
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    References listed on IDEAS

    as
    1. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(1), pages 175-214.
    2. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    3. Daniel F. McCaffrey & Tim R. Sass & J. R. Lockwood & Kata Mihaly, 2009. "The Intertemporal Variability of Teacher Effect Estimates," Education Finance and Policy, MIT Press, vol. 4(4), pages 572-606, October.
    4. Daniel Aaronson & Lisa Barrow & William Sander, 2007. "Teachers and Student Achievement in the Chicago Public High Schools," Journal of Labor Economics, University of Chicago Press, vol. 25(1), pages 95-135.
    5. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob, 2005. "Who teaches whom? Race and the distribution of novice teachers," Economics of Education Review, Elsevier, vol. 24(4), pages 377-392, August.
    6. Koedel Cory & Leatherman Rebecca & Parsons Eric, 2012. "Test Measurement Error and Inference from Value-Added Models," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-37, November.
    7. Cory Koedel & Julian R. Betts, 2011. "Does Student Sorting Invalidate Value-Added Models of Teacher Effectiveness? An Extended Analysis of the Rothstein Critique," Education Finance and Policy, MIT Press, vol. 6(1), pages 18-42, January.
    8. Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky, 2012. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1210, Department of Economics, University of Missouri.
    9. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
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    Keywords

    Value Added Estimates Peer Control Variables Education; Working paper 25;

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