IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this article or follow this journal

Do Students Benefit from Attending Better Schools? Evidence from Rule-based Student Assignments in Trinidad and Tobago

  • C. Kirabo Jackson

In Trinidad and Tobago students are assigned to secondary schools after the fifth grade, based on achievement tests, leading to large differences in the school environments to which students of differing initial levels of achievement are exposed. I use instrumental variables based on the discontinuities created by the assignment mechanism and exploit rich data which include students' test scores at entry and secondary school preferences to address self-selection bias. I find that attending a better school has large positive effects on examination performance at the end of secondary school. The effects are about twice as large for girls than for boys. Copyright (C) The Author(s). Journal compilation (C) Royal Economic Society 2010.

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.blackwell-synergy.com/doi/abs/10.1111/j.1468-0297.2010.02371.x
File Function: link to full text
Download Restriction: Access to full text is restricted to subscribers.

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.

Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 120 (2010)
Issue (Month): 549 (December)
Pages: 1399-1429

as
in new window

Handle: RePEc:ecj:econjl:v:120:y:2010:i:549:p:1399-1429
Contact details of provider: Postal: Office of the Secretary-General, School of Economics and Finance, University of St. Andrews, St. Andrews, Fife, KY16 9AL, UK
Phone: +44 1334 462479
Web page: http://www.res.org.uk/
Email:


More information through EDIRC

Order Information: Web: http://www.blackwellpublishers.co.uk/asp/journal.asp?ref=0013-0133

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. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule To Estimate The Effect Of Class Size On Scholastic Achievement," The Quarterly Journal of Economics, MIT Press, vol. 114(2), pages 533-575, May.
  2. Hanushek, Eric A. & Woessmann, Ludger, 2005. "Does Educational Tracking Affect Performance and Inequality? Differences-in-Differences Evidence across Countries," IZA Discussion Papers 1901, Institute for the Study of Labor (IZA).
  3. David Card & Alan Krueger, 1990. "Does School Quality Matter? Returns to Education and the Characteristics of Public Schools in the United States," NBER Working Papers 3358, National Bureau of Economic Research, Inc.
  4. Bruce Sacerdote, 2001. "Peer Effects With Random Assignment: Results For Dartmouth Roommates," The Quarterly Journal of Economics, MIT Press, vol. 116(2), pages 681-704, May.
  5. Justine S. Hastings & Jeffrey M. Weinstein, 2007. "No Child Left Behind: Estimating the Impact on Choices and Student Outcomes," NBER Working Papers 13009, National Bureau of Economic Research, Inc.
  6. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
  7. Mary A. Burke & Tim R. Sass, 2006. "Classroom Peer Effects and Student Achievement," Working Papers wp2006_02_02, Department of Economics, Florida State University.
  8. C. Kirabo Jackson & Elias Bruegmann, 2009. "Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers," NBER Working Papers 15202, National Bureau of Economic Research, Inc.
  9. Jeffrey R. Kling & Jens Ludwig & Lawrence F. Katz, 2005. "Neighborhood Effects on Crime for Female and Male Youth: Evidence from a Randomized Housing Voucher Experiment," The Quarterly Journal of Economics, MIT Press, vol. 120(1), pages 87-130, January.
  10. Jörn-Steffen Pischke & Alan Manning, 2006. "Comprehensive versus Selective Schooling in England in Wales: What Do We Know?," NBER Working Papers 12176, National Bureau of Economic Research, Inc.
  11. Christian Dustmann, 2004. "Parental background, secondary school track choice, and wages," Oxford Economic Papers, Oxford University Press, vol. 56(2), pages 209-230, April.
  12. Philip Oreopoulos & Daniel Lang & Joshua Angrist, 2009. "Incentives and Services for College Achievement: Evidence from a Randomized Trial," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 136-63, January.
  13. Victor Lavy, 2009. "Performance Pay and Teachers' Effort, Productivity, and Grading Ethics," American Economic Review, American Economic Association, vol. 99(5), pages 1979-2011, December.
  14. Caroline Hoxby, 2000. "Peer Effects in the Classroom: Learning from Gender and Race Variation," NBER Working Papers 7867, National Bureau of Economic Research, Inc.
  15. Duflo, Esther & Dupas, Pascaline & Kremer, Michael, 2008. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," CEPR Discussion Papers 7043, C.E.P.R. Discussion Papers.
  16. David Card & Alan B. Krueger, 1991. "School Quality and Black-White Relative Earnings: A Direct Assessment," NBER Working Papers 3713, National Bureau of Economic Research, Inc.
  17. Grogger, Jeff, 1996. "School Expenditures and Post-schooling Earnings: Evidence from High School and Beyond," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 628-37, November.
  18. Julie Berry Cullen & Brian Jacob & Steven Levitt, 2000. "The Impact of School Choice on Student Outcomes: An Analysis of the Chicago Public Schools," NBER Working Papers 7888, National Bureau of Economic Research, Inc.
  19. David J. Zimmerman, 2003. "Peer Effects in Academic Outcomes: Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 9-23, February.
  20. John H. Tyler & Richard J. Murnane & John B. Willett, 2000. "Do the Cognitive Skills of School Dropouts Matter in the Labor Market?," Journal of Human Resources, University of Wisconsin Press, vol. 35(4), pages 748-754.
  21. C. Kirabo Jackson, 2009. "Ability-grouping and Academic Inequality: Evidence From Rule-based Student Assignments," NBER Working Papers 14911, National Bureau of Economic Research, Inc.
  22. Betts, Julian R, 1995. "Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 231-50, May.
  23. Betts, Julian R. & Shkolnik, Jamie L., 1999. "Key difficulties in identifying the effects of ability grouping on student achievement," Economics of Education Review, Elsevier, vol. 19(1), pages 21-26, February.
  24. Joshua Angrist & Victor Lavy, 2009. "The Effects of High Stakes High School Achievement Awards: Evidence from a Randomized Trial," American Economic Review, American Economic Association, vol. 99(4), pages 1384-1414, September.
  25. David N. Figlio & Marianne E. Page, 2000. "School Choice and the Distributional Effects of Ability Tracking: Does Separation Increase Equality?," NBER Working Papers 8055, National Bureau of Economic Research, Inc.
  26. Ofer Malamud & Cristian Pop-Eleches, 2010. "General Education versus Vocational Training: Evidence from an Economy in Transition," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 43-60, February.
  27. Joshua D. Angrist & Kevin Lang, 2004. "Does School Integration Generate Peer Effects? Evidence from Boston's Metco Program," American Economic Review, American Economic Association, vol. 94(5), pages 1613-1634, December.
  28. Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
  29. Jeffrey R. Kling & Jeffrey B. Liebman & Lawrence F. Katz, 2005. "Experimental Analysis of Neighborhood Effects," NBER Working Papers 11577, National Bureau of Economic Research, Inc.
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:ecj:econjl:v:120:y:2010:i:549:p:1399-1429. 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: (Wiley-Blackwell Digital Licensing)

or (Christopher F. Baum)

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.