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Value-added models and the measurement of teacher productivity

  • Sass, Tim R.
  • Semykina, Anastasia
  • Harris, Douglas N.

Research on teacher productivity, as well as recently developed accountability systems for teachers, relies on “value-added” models to estimate the impact of teachers on student performance. We consider six value-added models that encompass most commonly estimated specifications. We test many of the central assumptions required to derive each of the value-added models from an underlying structural cumulative achievement model and reject nearly all of them. While some of the six popular models produce similar estimates, other specifications yield estimates of teacher productivity and other key parameters that are considerably different.

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File URL: http://www.sciencedirect.com/science/article/pii/S0272775713001362
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Article provided by Elsevier in its journal Economics of Education Review.

Volume (Year): 38 (2014)
Issue (Month): C ()
Pages: 9-23

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Handle: RePEc:eee:ecoedu:v:38:y:2014:i:c:p:9-23
Contact details of provider: Web page: http://www.elsevier.com/locate/econedurev

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  1. 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.
  2. Daniel F. McCaffrey & J. R. Lockwood & Kata Mihaly & Tim R. Sass, 2012. "A review of Stata commands for fixed-effects estimation in normal linear models," Stata Journal, StataCorp LP, vol. 12(3), pages 406-432, September.
  3. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
  4. Andrabi, Tahir & Das, Jishnu & Khwaja, Asim Ijaz & Zajonc, Tristan, 2009. "Do value-added estimates add value ? accounting for learning dynamics," Policy Research Working Paper Series 5066, The World Bank.
  5. 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).
  6. Brian A. Jacob & Lars Lefgren & David P. Sims, 2010. "The Persistence of Teacher-Induced Learning," Journal of Human Resources, University of Wisconsin Press, vol. 45(4), pages 915-943.
  7. 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.
  8. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages F3-F33, February.
  9. Thomas S. Dee, 2001. "Teachers, Race and Student Achievement in a Randomized Experiment," NBER Working Papers 8432, National Bureau of Economic Research, Inc.
  10. Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 175-214, February.
  11. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
  12. Figlio, David N., 1999. "Functional form and the estimated effects of school resources," Economics of Education Review, Elsevier, vol. 18(2), pages 241-252, April.
  13. Andrew J. Houtenville & Karen Smith Conway, 2008. "Parental Effort, School Resources, and Student Achievement," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 437-453.
  14. Bonesronning, Hans, 2004. "The determinants of parental effort in education production: do parents respond to changes in class size?," Economics of Education Review, Elsevier, vol. 23(1), pages 1-9, February.
  15. Douglas Harris, 2007. "Diminishing Marginal Returns and the Production of Education: An International Analysis," Education Economics, Taylor & Francis Journals, vol. 15(1), pages 31-53.
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