Advanced Search
MyIDEAS: Login

Value-added models and the measurement of teacher productivity

Contents:

Author Info

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

Abstract

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.sciencedirect.com/science/article/pii/S0272775713001362
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Bibliographic Info

Article provided by Elsevier in its journal Economics of Education Review.

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

as in new window
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

Related research

Keywords: Teacher productivity; Value added;

Find related papers by JEL classification:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. 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.
  2. 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.
  3. 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.
  4. Petra E. Todd & Kenneth I. Wolpin, 2004. "The Production of Cognitive Achievement in Children: Home, School and Racial Test Score Gaps," PIER Working Paper Archive 04-019, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  5. Thomas S. Dee, 2001. "Teachers, Race and Student Achievement in a Randomized Experiment," NBER Working Papers 8432, National Bureau of Economic Research, Inc.
  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. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2006. "Teacher-Student Matching and the Assessment of Teacher Effectiveness," NBER Working Papers 11936, National Bureau of Economic Research, Inc.
  15. 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.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Cory Koedel & Jiaxi Li, 2014. "The Efficiency Implications of Using Proportional Evaluations to Shape the Teaching Workforce," Working Papers 1402, Department of Economics, University of Missouri.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:38:y:2014:i:c:p:9-23. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Zhang, Lei).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.