IDEAS home Printed from
MyIDEAS: Login to save this paper or follow this series

Principals as Agents: Subjective Performance Measurement in Education

  • Brian A. Jacob
  • Lars Lefgren

In this paper, we compare subjective principal assessments of teachers to the traditional determinants of teacher compensation ¡V education and experience ¡V and another potential compensation mechanism -- value-added measures of teacher effectiveness based on student achievement gains. We find that subjective principal assessments of teachers predict future student achievement significantly better than teacher experience, education or actual compensation, though not as well as value-added teacher quality measures. In particular, principals appear quite good at identifying those teachers who produce the largest and smallest standardized achievement gains in their schools, but have far less ability to distinguish between teachers in the middle of this distribution and systematically discriminate against male and untenured faculty. Moreover, we find that a principal¡'s overall rating of a teacher is a substantially better predictor of future parent requests for that teacher than either the teacher¡'s experience, education and current compensation or the teacher¡'s value-added achievement measure. These findings not only inform education policy, but also shed light on subjective performance assessment more generally.

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:
Download Restriction: no

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 11463.

in new window

Date of creation: Jul 2005
Date of revision:
Handle: RePEc:nbr:nberwo:11463
Note: CH ED
Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Web page:

More information through EDIRC

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. Brian A. Jacob & Lars Lefgren, 2007. "What Do Parents Value in Education? An Empirical Investigation of Parents' Revealed Preferences for Teachers," The Quarterly Journal of Economics, MIT Press, vol. 122(4), pages 1603-1637, November.
  2. Figlio, David N. & Winicki, Joshua, 2005. "Food for thought: the effects of school accountability plans on school nutrition," Journal of Public Economics, Elsevier, vol. 89(2-3), pages 381-394, February.
  3. David N. Figlio & Maurice E. Lucas, 2000. "What's in a Grade? School Report Cards and House Prices," NBER Working Papers 8019, National Bureau of Economic Research, Inc.
  4. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-38, May.
  5. Eric A. Hanushek & John F. Kain & Daniel M. O'Brien & Steven G. Rivkin, 2005. "The Market for Teacher Quality," NBER Working Papers 11154, National Bureau of Economic Research, Inc.
  6. Jonah E. Rockoff, 2004. "The Impact of Individual Teachers on Student Achievement: Evidence from Panel Data," American Economic Review, American Economic Association, vol. 94(2), pages 247-252, May.
  7. Hanushek, Eric A, 1986. "The Economics of Schooling: Production and Efficiency in Public Schools," Journal of Economic Literature, American Economic Association, vol. 24(3), pages 1141-77, September.
  8. Daniel G. Sullivan, 2001. "A note on the estimation of linear regression models with Heteroskedastic measurement errors," Working Paper Series WP-01-23, Federal Reserve Bank of Chicago.
  9. Hanushek, Eric A, 1992. "The Trade-Off between Child Quantity and Quality," Journal of Political Economy, University of Chicago Press, vol. 100(1), pages 84-117, February.
  10. 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.
  11. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
  12. Hanushek, E.A.omson, W., 1996. "Assessing the Effects of School Resources on Student Performance : An Update," RCER Working Papers 424, University of Rochester - Center for Economic Research (RCER).
Full references (including those not matched with items on IDEAS)

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

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:11463. 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: ()

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.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.