IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/14261.html
   My bibliography  Save this paper

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

Author

Listed:
  • Jason M. Lindo
  • Nicholas J. Sanders
  • Philip Oreopoulos

Abstract

We use a regression discontinuity design to examine students' responses to the negative incentive brought on by being placed on academic probation. Consistent with a model of introducing performance standards in which agents respond differently based on ability, we find that being placed on probation at the end of the first year discourages some students from returning to school while improving the performance of those who return. Contrary to the predictions of the model when ability is known, we find that heterogeneous discouragement effects result in high ability students having a greater overall dropout rate near the cutoff than lower ability students. The result can be explained by extending the model to allow for the performance standard to also affect self confidence (ability expectations). We also consider effects by gender and find that being placed on probation more than doubles the probability that men drop out but has no such discouragement effect for women.

Suggested Citation

  • Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2008. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," NBER Working Papers 14261, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:14261
    Note: CH ED LS
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w14261.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Eric P. Bettinger & Bridget Terry Long, 2009. "Addressing the Needs of Underprepared Students in Higher Education: Does College Remediation Work?," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    2. R. Benabou & J. Tirole, 1999. "Self-Confidence and Social Interactions," Princeton Economic Theory Papers 00s2, Economics Department, Princeton University.
    3. Chevalier, Arnaud & Gibbons, Steve & Thorpe, Andy & Snell, Martin & Hoskins, Sherria, 2009. "Students' academic self-perception," Economics of Education Review, Elsevier, vol. 28(6), pages 716-727, December.
    4. Pietro Garibaldi & Francesco Giavazzi & Andrea Ichino & Enrico Rettore, 2012. "College Cost and Time to Complete a Degree: Evidence from Tuition Discontinuities," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 699-711, August.
    5. 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.
    6. 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.
    7. Brian A. Jacob & Lars Lefgren, 2004. "Remedial Education and Student Achievement: A Regression-Discontinuity Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 226-244, February.
    8. Eriksson, Tor & Poulsen, Anders & Villeval, Marie Claire, 2009. "Feedback and incentives: Experimental evidence," Labour Economics, Elsevier, vol. 16(6), pages 679-688, December.
    9. 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.
    10. 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 136-163, January.
    11. 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.
    12. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    13. 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.
    14. 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.
    15. Susan Dynarski, 2005. "Building the Stock of College-Educated Labor," Working Papers 15, Princeton University, School of Public and International Affairs, Education Research Section..
    16. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    17. 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.
    18. Joshua D. Angrist & Victor Lavy, 2002. "The Effect of High School Matriculation Awards: Evidence from Randomized Trials," NBER Working Papers 9389, National Bureau of Economic Research, Inc.
    19. 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.
    20. 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.
    21. Juan Carlos Calcagno & Bridget Terry Long, 2008. "The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance," NBER Working Papers 14194, National Bureau of Economic Research, Inc.
    22. Lee, David S. & Card, David, 2008. "Regression discontinuity inference with specification error," Journal of Econometrics, Elsevier, vol. 142(2), pages 655-674, February.
    23. Orley Ashenfelter & Cecilia Rouse, 1998. "Income, Schooling, and Ability: Evidence from a New Sample of Identical Twins," The Quarterly Journal of Economics, Oxford University Press, vol. 113(1), pages 253-284.
    24. Susan Dynarski, 2008. "Building the Stock of College-Educated Labor," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 576-610.
    25. 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.
    26. Thomas S. Dee & Brian A. Jacob, 2006. "Do High School Exit Exams Influence Educational Attainment or Labor Market Performance?," NBER Working Papers 12199, National Bureau of Economic Research, Inc.
    27. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pietro Garibaldi & Francesco Giavazzi & Andrea Ichino & Enrico Rettore, 2012. "College Cost and Time to Complete a Degree: Evidence from Tuition Discontinuities," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 699-711, August.
    2. Duchini, Emma, 2017. "Is college remedial education a worthy investment? New evidence from a sharp regression discontinuity design," Economics of Education Review, Elsevier, vol. 60(C), pages 36-53.
    3. 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 136-163, January.
    4. Tafreschi, Darjusch & Thiemann, Petra, 2016. "Doing it twice, getting it right? The effects of grade retention and course repetition in higher education," Economics of Education Review, Elsevier, vol. 55(C), pages 198-219.
    5. Fletcher, Jason M. & Tokmouline, Mansur, 2017. "The Effects of Academic Probation on College Success: Regression Discontinuity Evidence from Four Texas Universities," IZA Discussion Papers 11232, Institute of Labor Economics (IZA).
    6. Judith Scott-Clayton & Lauren Schudde, 2016. "Performance Standards in Need-Based Student Aid," NBER Working Papers 22713, National Bureau of Economic Research, Inc.
    7. Hämäläinen, Ulla & Koerselman, Kristian & Uusitalo, Roope, 2017. "Graduation Incentives Through Conditional Student Loan Forgiveness," IZA Discussion Papers 11142, Institute of Labor Economics (IZA).
    8. Elena Mattana & Juanna Joensen, 2016. "Student Aid, Academic Achievement, and Labor Market Behavior," 2016 Meeting Papers 1102, Society for Economic Dynamics.
    9. Kalena E. Cortes & Joshua S. Goodman & Takako Nomi, 2015. "Intensive Math Instruction and Educational Attainment: Long-Run Impacts of Double-Dose Algebra," Journal of Human Resources, University of Wisconsin Press, vol. 50(1), pages 108-158.
    10. Paco Martorell & Isaac McFarlin, Jr. & Yu Xue, 2014. "Does Failing a Placement Exam Discourage Underprepared Students from Going to College?," Education Finance and Policy, MIT Press, vol. 10(1), pages 46-80, November.
    11. Joshua Angrist & Philip Oreopoulos & Tyler Williams, 2014. "When Opportunity Knocks, Who Answers?: New Evidence on College Achievement Awards," Journal of Human Resources, University of Wisconsin Press, vol. 49(3), pages 572-610.
    12. Elena Mattana & Juanna Joensen, 2014. "Student Aid, Academic Achievement, and Labor Market Behavior: Grants or Loans?," 2014 Meeting Papers 707, Society for Economic Dynamics.
    13. Butcher, Kristin F. & McEwan, Patrick J. & Taylor, Corrine H., 2010. "The effects of quantitative skills training on college outcomes and peers," Economics of Education Review, Elsevier, vol. 29(2), pages 187-199, April.
    14. Judith Scott-Clayton & Olga Rodriguez, 2014. "Development, Discouragement, or Diversion? New Evidence on the Effects of College Remediation Policy," Education Finance and Policy, MIT Press, vol. 10(1), pages 4-45, November.
    15. Lauren Schudde & Judith Scott-Clayton, 2016. "Pell Grants as Performance-Based Scholarships? An Examination of Satisfactory Academic Progress Requirements in the Nation’s Largest Need-Based Aid Program," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(8), pages 943-967, December.
    16. Guido Imbens & Stefan Wager, 2019. "Optimized Regression Discontinuity Designs," The Review of Economics and Statistics, MIT Press, vol. 101(2), pages 264-278, May.
    17. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    18. repec:mpr:mprres:7288 is not listed on IDEAS
    19. Juan Carlos Calcagno & Bridget Terry Long, 2008. "The Impact of Postsecondary Remediation Using a Regression Discontinuity Approach: Addressing Endogenous Sorting and Noncompliance," NBER Working Papers 14194, National Bureau of Economic Research, Inc.
    20. Rodríguez-Planas, Núria, 2010. "Longer-Term Impacts of Mentoring, Educational Services, and Incentives to Learn: Evidence from a Randomized Trial," IZA Discussion Papers 4754, Institute of Labor Economics (IZA).
    21. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.

    More about this item

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • I20 - Health, Education, and Welfare - - Education - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:14261. 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: (). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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 CitEc recognized a reference but did not link an item in RePEc 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 RePEc Author Service 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.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.