IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp7974.html
   My bibliography  Save this paper

Evaluating Specification Tests in the Context of Value-Added Estimation

Author

Listed:
  • Guarino, Cassandra M.

    () (University of California, Riverside)

  • Reckase, Mark D.

    () (Michigan State University)

  • Stacy, Brian

    () (Michigan State University)

  • Wooldridge, Jeffrey M.

    () (Michigan State University)

Abstract

We study the properties of two specification tests that have been applied to a variety of estimators in the context of value-added measures (VAMs) of teacher and school quality: the Hausman test for choosing between random and fixed effects and a test for feedback (sometimes called a "falsification test"). We discuss theoretical properties of the tests to serve as background. An extensive simulation study provides important further insight to the VAM setting. Unfortunately, while both the Hausman and feedback tests have good power for detecting the kinds of nonrandom assignment that can invalidate VAM estimates, they also reject in situations where estimated VAMs perform very well. Consequently, the tests must be used with caution when student tracking is used to form classrooms.

Suggested Citation

  • Guarino, Cassandra M. & Reckase, Mark D. & Stacy, Brian & Wooldridge, Jeffrey M., 2014. "Evaluating Specification Tests in the Context of Value-Added Estimation," IZA Discussion Papers 7974, Institute for the Study of Labor (IZA).
  • Handle: RePEc:iza:izadps:dp7974
    as

    Download full text from publisher

    File URL: http://ftp.iza.org/dp7974.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. 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.
    2. Cassandra M. Guarino & Mark D. Reckase & Jeffrey M. Woolrdige, 2014. "Can Value-Added Measures of Teacher Performance Be Trusted?," Education Finance and Policy, MIT Press, vol. 10(1), pages 117-156, November.
    3. McClain, Katherine T. & Wooldridge, Jeffrey M., 1995. "A simple test for the consistency of dynamic linear regression in rational distributed lag models," Economics Letters, Elsevier, vol. 48(3-4), pages 235-240, June.
    4. Josh Kinsler, 2012. "Assessing Rothstein's critique of teacher value‚Äźadded models," Quantitative Economics, Econometric Society, vol. 3(2), pages 333-362, July.
    5. 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 3-33, February.
    6. 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, pages 18-42.
    7. Wooldridge, Jeffrey M., 1990. "A Unified Approach to Robust, Regression-Based Specification Tests," Econometric Theory, Cambridge University Press, vol. 6(01), pages 17-43, March.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    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


    Cited by:

    1. Ost, Ben & Schiman, Jeffrey C., 2017. "Workload and teacher absence," Economics of Education Review, Elsevier, vol. 57(C), pages 20-30.
    2. Seth Gershenson & Diane Whitmore Schanzenbach, 2016. "Linking Teacher Quality, Student Attendance, and Student Achievement," Education Finance and Policy, MIT Press, vol. 11(2), pages 125-149, Spring.
    3. Gershenson, Seth, 2016. "Should Value-Added Models Control for Student Absences?," IZA Discussion Papers 9978, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    teacher labor markets; teacher quality; value-added;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • I20 - Health, Education, and Welfare - - Education - - - General
    • J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp7974. 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: (Mark Fallak). General contact details of provider: http://www.iza.org .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.