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Ability, Gender, and Performance Standards: Evidence from Academic Probation

Listed author(s):
  • Jason M. Lindo
  • Nicholas J. Sanders
  • Philip Oreopoulos

We use a regression discontinuity design to examine students' responses to being placed on academic probation. Consistent with a model of introducing performance standards, we find that being placed on probation at the end of the first year discourages some students from returning to school while improving the GPAs of those who do. We find heterogeneous responses across prior academic performance, gender, and native language, and discuss these results within the context of the model. We also find negative effects on graduation rates, particularly for students with the highest high school grades. (JEL I23, J16)

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File URL: http://www.aeaweb.org/articles.php?doi=10.1257/app.2.2.95
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File URL: http://www.aeaweb.org/aej/app/data/2008-0202_data.zip
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Article provided by American Economic Association in its journal American Economic Journal: Applied Economics.

Volume (Year): 2 (2010)
Issue (Month): 2 (April)
Pages: 95-117

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Handle: RePEc:aea:aejapp:v:2:y:2010:i:2:p:95-117
Note: DOI: 10.1257/app.2.2.95
Contact details of provider: Web page: https://www.aeaweb.org/aej-applied
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  1. Edwin Leuven & Hessel Oosterbeek & Bas van der Klaauw, 2010. "The Effect of Financial Rewards on Students' Achievement: Evidence from a Randomized Experiment," Journal of the European Economic Association, MIT Press, vol. 8(6), pages 1243-1265, December.
  2. Stephen L. DesJardins & Dennis A. Ahlburg & Brian P. McCall, 2002. "Simulating the Longitudinal Effects of Changes in Financial Aid on Student Departure from College," Journal of Human Resources, University of Wisconsin Press, vol. 37(3), pages 653-679.
  3. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
  4. Roland Benabou & Jean Tirole, 1999. "Self-Confidence And Social Interactions," Working Papers 151, Princeton University, Woodrow Wilson School of Public and International Affairs, Discussion Papers in Economics.
  5. Tor Eriksson & Anders Poulsen & Marie Claire Villeval, 2008. "Feedback and Incentives : Experimental Evidence," Post-Print halshs-00276396, HAL.
  6. Ou, Dongshu, 2010. "To leave or not to leave? A regression discontinuity analysis of the impact of failing the high school exit exam," Economics of Education Review, Elsevier, vol. 29(2), pages 171-186, April.
  7. Chevalier, Arnaud & Gibbons, Steve & Thorpe, Andy & Snell, Martin & Hoskins, Sherria, 2007. "Students' Academic Self-Perception," IZA Discussion Papers 3031, Institute for the Study of Labor (IZA).
  8. Dynarski, Susan, 2005. "Building the Stock of College-Educated Labor," Working Paper Series rwp05-050, Harvard University, John F. Kennedy School of Government.
  9. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Working Papers 13039, National Bureau of Economic Research, Inc.
  10. Francesco Giavazzi & Pietro Garibaldi & Andrea Ichino & Enrico Rettore, 2009. "College cost and time to complete a degree: Evidence from tuition discontinuities," Working Papers 354, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  11. Angrist, Joshua & Lavy, Victor, 2002. "The Effect of High School Matriculation Awards: Evidence from Randomized Trials," CEPR Discussion Papers 3827, C.E.P.R. Discussion Papers.
  12. Altonji, Joseph G, 1993. "The Demand for and Return to Education When Education Outcomes Are Uncertain," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 48-83, January.
  13. David S. Lee & David Card, 2006. "Regression Discontinuity Inference with Specification Error," NBER Technical Working Papers 0322, National Bureau of Economic Research, Inc.
  14. 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.
  15. David S. Lee, 2009. "Training, Wages, and Sample Selection: Estimating Sharp Bounds on Treatment Effects," Review of Economic Studies, Oxford University Press, vol. 76(3), pages 1071-1102.
  16. Brian A. Jacob & Lars Lefgren, 2002. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," NBER Working Papers 8918, National Bureau of Economic Research, Inc.
  17. Manski, Charles F., 1989. "Schooling as experimentation: a reappraisal of the postsecondary dropout phenomenon," Economics of Education Review, Elsevier, vol. 8(4), pages 305-312, August.
  18. Häkkinen, Iida & Uusitalo, Roope, 2003. "The Effect of a Student Aid Reform on Graduation: A Duration Analysis," Working Paper Series 2003:8, Uppsala University, Department of Economics.
  19. Orley Ashenfelter & Cecilia Rouse, 1997. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," NBER Working Papers 6106, National Bureau of Economic Research, Inc.
  20. Susan Dynarski, 2005. "Building the Stock of College-Educated Labor," Working Papers 15, Princeton University, Woodrow Wilson School of Public and International Affairs, Education Research Section..
  21. Angrist, Joshua & Lang, Daniel W. & Oreopoulos, Philip, 2007. "Incentives and Services for College Achievement: Evidence from a Randomized Trial," IZA Discussion Papers 3134, Institute for the Study of Labor (IZA).
  22. Kifmann Mathias & Heineck Martin & Lorenz Normann, 2006. "A Duration Analysis of the Effects of Tuition Fees for Long-Term Students in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 226(1), pages 82-109, February.
  23. repec:knz:hetero:0605 is not listed on IDEAS
  24. Hahn, Jinyong & Todd, Petra & Van der Klaauw, Wilbert, 2001. "Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design," Econometrica, Econometric Society, vol. 69(1), pages 201-209, January.
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