IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

Do Value-Added Estimates Add Value? Accounting for Learning Dynamics

  • Tahir Andrabi
  • Jishnu Das
  • Asim Ijaz Khwaja
  • Tristan Zajonc

This paper illustrates the central role of persistence in estimating and interpreting value-added models of learning. Using data from Pakistani public and private schools, we apply dynamic panel methods that address three key empirical challenges: imperfect persistence, unobserved heterogeneity, and measurement error. Our estimates suggest that only one-fifth to one-half of learning persists between grades and that private schools increase average achievement by 0.25 standard deviations each year. In contrast, value-added models that assume perfect persistence yield severely downward estimates of the private school effect. Models that ignore unobserved heterogeneity or measurement error produce biased estimates of persistence. (JEL I21, J13, O15)

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.aeaweb.org/articles.php?doi=10.1257/app.3.3.29
Download Restriction: no

File URL: http://www.aeaweb.org/aej/app/data/2009-0259_data.zip
Download Restriction: Access to full text is restricted to AEA members and institutional subscribers.

Article provided by American Economic Association in its journal American Economic Journal: Applied Economics.

Volume (Year): 3 (2011)
Issue (Month): 3 (July)
Pages: 29-54

as
in new window

Handle: RePEc:aea:aejapp:v:3:y:2011:i:3:p:29-54
Note: DOI: 10.1257/app.3.3.29
Contact details of provider: Web page: https://www.aeaweb.org/aej-applied
Email:


More information through EDIRC

Order Information: Web: https://www.aeaweb.org/subscribe.html

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. Richard Blundell & Steve Bond, 1995. "Initial conditions and moment restrictions in dynamic panel data models," IFS Working Papers W95/17, Institute for Fiscal Studies.
  2. Alan B. Krueger, 2003. "Economic Considerations and Class Size," Economic Journal, Royal Economic Society, vol. 113(485), pages F34-F63, February.
  3. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
  4. Harold Alderman & Peter F. Orazem & Elizabeth M. Paterno, 2001. "School Quality, School Cost, and the Public/Private School Choices of Low-Income Households in Pakistan," Journal of Human Resources, University of Wisconsin Press, vol. 36(2), pages 304-326.
  5. 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.
  6. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291, June.
  7. Khwaja, Asim Ijaz & Andrabi, Tahir & Das, Jishnu & Zajonc, Tristan, 2009. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," Scholarly Articles 4435671, Harvard Kennedy School of Government.
  8. Michael Kremer & Nauman Ilias & Paul Glewwe, 2003. "Teacher incentives," Natural Field Experiments 00257, The Field Experiments Website.
  9. Kremer, Michael R. & Miguel, Edward & Thornton, Rebecca, 2009. "Incentives to Learn," Scholarly Articles 3716457, Harvard University Department of Economics.
  10. 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.
  11. Kenneth Y. Chay & Patrick J. McEwan & Miguel Urquiola, 2003. "The Central Role of Noise in Evaluating Interventions that Use Test Scores to Rank Schools," NBER Working Papers 10118, National Bureau of Economic Research, Inc.
  12. Alderman, Harold & Kim, Jooseop & Orazem, Peter F., 2003. "Design, evaluation, and sustainability of private schools for the poor: the Pakistan urban and rural fellowship school experiments," Economics of Education Review, Elsevier, vol. 22(3), pages 265-274, June.
  13. Jesse Rothstein, 2008. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," NBER Working Papers 14442, National Bureau of Economic Research, Inc.
  14. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 843-877.
  15. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, 05.
  16. 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.
  17. Arellano, M. & Honore, B., 2000. "Panel Data Models: Some Recent Developments," Papers 0016, Centro de Estudios Monetarios Y Financieros-.
  18. Abowd J.M. & Crepon B. & Kramarz F., 2001. "Moment Estimation With Attrition: An Application to Economic Models," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1223-1231, December.
  19. Derek A. Neal & William R. Johnson, 1995. "The Role of Pre-Market Factors in Black-White Wage Differences," NBER Working Papers 5124, National Bureau of Economic Research, Inc.
  20. Andrabi, Tahir & Das, Jishnu & Khwaja, Asim Ijaz, 2006. "A dime a day : the possibilities and limits of private schooling in Pakistan," Policy Research Working Paper Series 4066, The World Bank.
  21. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, Oxford University Press, vol. 122(3), pages 1235-1264.
  22. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
  23. 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.
  24. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-66, May.
  25. Brian A. Jacob & Lars Lefgren, 2005. "What Do Parents Value in Education? An Empirical Investigation of Parents' Revealed Preferences for Teachers," NBER Working Papers 11494, National Bureau of Economic Research, Inc.
  26. 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.
  27. Brian A. Jacob & Steven D. Levitt, 2003. "Rotten Apples: An Investigation of the Prevalence and Predictors of Teacher Cheating," NBER Working Papers 9413, National Bureau of Economic Research, Inc.
  28. Ladd, Helen F. & Walsh, Randall P., 2002. "Implementing value-added measures of school effectiveness: getting the incentives right," Economics of Education Review, Elsevier, vol. 21(1), pages 1-17, February.
  29. David Deming, 2009. "Early Childhood Intervention and Life-Cycle Skill Development: Evidence from Head Start," American Economic Journal: Applied Economics, American Economic Association, vol. 1(3), pages 111-34, July.
  30. repec:pri:edures:25ers.pdf is not listed on IDEAS
  31. Jimenez, Emmanuel & Lockheed, Marlaine E & Paqueo, Vicente, 1991. "The Relative Efficiency of Private and Public Schools in Developing Countries," World Bank Research Observer, World Bank Group, vol. 6(2), pages 205-18, July.
  32. 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.
  33. 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, Oxford University Press, vol. 122(4), pages 1603-1637.
  34. 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.
  35. Thomas J. Kane & Douglas O. Staiger, 2002. "The Promise and Pitfalls of Using Imprecise School Accountability Measures," Journal of Economic Perspectives, American Economic Association, vol. 16(4), pages 91-114, Fall.
Full references (including those not matched with items on IDEAS)

This item is featured on the following reading lists or Wikipedia pages:

  1. Do Value-Added Estimates Add Value? Accounting for Learning Dynamics (AEJ:AE 2011) in ReplicationWiki

When requesting a correction, please mention this item's handle: RePEc:aea:aejapp:v:3:y:2011:i:3:p:29-54. 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: (Jane Voros)

or (Michael P. Albert)

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.