IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper

Do value-added estimates add value ? accounting for learning dynamics

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

Evaluations of educational programs commonly assume that what children learn persists over time. The authors compare learning in Pakistani public and private schools using dynamic panel methods that account for three key empirical challenges to widely used value-added models: imperfect persistence, unobserved student heterogeneity, and measurement error. Their estimates suggest that only a fifth to a half of learning persists between grades and that private schools increase average achievement by 0.25 standard deviations each year. In contrast, estimates from commonly used value-added models significantly understate the impact of private schools’ on student achievement and/or overstate persistence. These results have implications for program evaluation and value-added accountability system design.

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-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2009/09/28/000158349_20090928165656/Rendered/PDF/WPS5066.pdf
Download Restriction: no

Paper provided by The World Bank in its series Policy Research Working Paper Series with number 5066.

as
in new window

Length:
Date of creation: 01 Sep 2009
Date of revision:
Handle: RePEc:wbk:wbrwps:5066
Contact details of provider: Postal:
1818 H Street, N.W., Washington, DC 20433

Phone: (202) 477-1234
Web page: http://www.worldbank.org/
Email:


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. 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.
  2. 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.
  3. 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.
  4. Arellano, Manuel & Honore, Bo, 2001. "Panel data models: some recent developments," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296 Elsevier.
  5. Alderman, Harold & Orazem, Peter & Paterno, Elizabeth M., 2001. "School Quality, School Cost, and the Public/Private School Choices of Low-Income Households in Pakistan," Staff General Research Papers 1970, Iowa State University, Department of Economics.
  6. 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.
  7. Michael Kremer & Nauman Ilias & Paul Glewwe, 2003. "Teacher incentives," Natural Field Experiments 00257, The Field Experiments Website.
  8. 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.
  9. Michael Kremer & Edward Miguel & Rebecca Thornton, 2004. "Incentives to Learn," NBER Working Papers 10971, National Bureau of Economic Research, Inc.
  10. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
  11. Jesse Rothstein, 2008. "Teacher Quality in Educational Production: Tracking, Decay, and Student Achievement," NBER Working Papers 14442, National Bureau of Economic Research, Inc.
  12. Alan B. Krueger, 2002. "Economic Considerations and Class Size," NBER Working Papers 8875, National Bureau of Economic Research, Inc.
  13. repec:pri:edures:25ers.pdf is not listed on IDEAS
  14. 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.
  15. M Arellano & O Bover, 1990. "Another Look at the Instrumental Variable Estimation of Error-Components Models," CEP Discussion Papers dp0007, Centre for Economic Performance, LSE.
  16. 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.
  17. Kenneth Y. Chay & Patrick J. McEwan & Miguel Urquiola, 2005. "The Central Role of Noise in Evaluating Interventions That Use Test Scores to Rank Schools," American Economic Review, American Economic Association, vol. 95(4), pages 1237-1258, September.
  18. 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.
  19. 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.
  20. 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.
  21. R Blundell & Steven Bond, . "Initial conditions and moment restrictions in dynamic panel data model," Economics Papers W14&104., Economics Group, Nuffield College, University of Oxford.
  22. Tahir Andrabi & Jishnu Das & Asim Ijaz Khwaja & Tristan Zajonc, 2011. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 29-54, July.
  23. Richard J. Murnane & John B. Willett & Frank Levy, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," NBER Working Papers 5076, National Bureau of Economic Research, Inc.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  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. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
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:wbk:wbrwps:5066. 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: (Roula I. Yazigi)

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.