Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables
Nonrandom assignment of students to teachers can bias value-added estimates of teachers' causal effects. Rothstein (2008, 2010) shows that typical value-added models indicate large counterfactual effects of fifth-grade teachers on students' fourth-grade learning, indicating that classroom assignments are far from random. This article quantifies the resulting biases in estimates of fifth-grade teachers' causal effects from several value-added models, under varying assumptions about the assignment process. If assignments are assumed to depend only on observables, the most commonly used specifications are subject to important bias, but other feasible specifications are nearly free of bias. I also consider the case in which assignments depend on unobserved variables. I use the across-classroom variance of observables to calibrate several models of the sorting process. Results indicate that even the best feasible value-added models may be substantially biased, with the magnitude of the bias depending on the amount of information available for use in classroom assignments. © 2009 American Education Finance Association
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.
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.
Volume (Year): 4 (2009)
Issue (Month): 4 (October)
|Contact details of provider:|| Web page: http://mitpress.mit.edu/journals/|
|Order Information:||Web: http://www.mitpressjournals.org/loi/edfp|
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.:
- Steven G. Rivkin & Eric A. Hanushek & John F. Kain, 2005.
"Teachers, Schools, and Academic Achievement,"
Econometric Society, vol. 73(2), pages 417-458, 03.
- Jesse Rothstein, 2008.
"Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement,"
1058, Princeton University, Woodrow Wilson School of Public and International Affairs, Education Research Section..
- Jesse Rothstein, 2010. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," The Quarterly Journal of Economics, Oxford University Press, vol. 125(1), pages 175-214.
- Jesse Rothstein, 2008. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," NBER Working Papers 14442, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2000.
"Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools,"
NBER Working Papers
7831, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
- Brian A. Jacob & Lars Lefgren, 2008. "Can Principals Identify Effective Teachers? Evidence on Subjective Performance Evaluation in Education," Journal of Labor Economics, University of Chicago Press, vol. 26, pages 101-136.
- 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, pages 95-135.
- Daniel Aaronson & Lisa Barrow & William Sander, 2002. "Teachers and student achievement in the Chicago public high schools," Working Paper Series WP-02-28, Federal Reserve Bank of Chicago.
- Sass, Tim R. & Semykina, Anastasia & Harris, Douglas N., 2014. "Value-added models and the measurement of teacher productivity," Economics of Education Review, Elsevier, vol. 38(C), pages 9-23.
- 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.
- 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).
- 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.
- Cory Koedel & Julian Betts, 2007. "Re-Examining the Role of Teacher Quality In the Educational Production Function," Working Papers 0708, Department of Economics, University of Missouri.
- Donald Boyd & Hamilton Lankford & Susanna Loeb & Jonah Rockoff & James Wyckoff, 2008.
"The Narrowing Gap in New York City Teacher Qualifications and its Implications for Student Achievement in High-Poverty Schools,"
NBER Working Papers
14021, National Bureau of Economic Research, Inc.
- Donald Boyd & Hamilton Lankford & Susanna Loeb & Jonah Rockoff & James Wyckoff, 2008. "The narrowing gap in New York City teacher qualifications and its implications for student achievement in high-poverty schools," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(4), pages 793-818.
- repec:pri:edures:25ers.pdf is not listed on IDEAS
When requesting a correction, please mention this item's handle: RePEc:tpr:edfpol:v:4:y:2009:i:4:p:537-571. 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: (Kristin Waites)
If references are entirely missing, you can add them using this form.