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The effects of attending a diverse college

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  • Hinrichs, Peter

Abstract

The question of whether there are benefits to be obtained from having a diverse student body is a key issue in the debate over affirmative action. This paper estimates the effects of college racial diversity on post-college earnings, civic behavior, and satisfaction with the college attended. I use the Beginning Postsecondary Students survey, which allows me to control for exposure to racial diversity prior to college. Moreover, I use two techniques from Altonji, Elder, and Taber (2005) to address the issue of selection on unobservables. The first is a sensitivity analysis showing how the coefficient on diversity changes when different values of the correlation are imposed in a system of equations that consists of a selection equation and an outcome equation. The second is estimation based upon an assumption that selection on unobservables equals selection on observables, which, along with the OLS results, gives estimates of bounds on the effect. Single-equation estimates suggest a possible positive effect of diversity on satisfaction with the racial climate at the college attended and a negative effect on community service, but I do not find an effect on other outcomes. Moreover, the estimates are very sensitive to the assumptions made about selection on unobservables.

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  • Hinrichs, Peter, 2011. "The effects of attending a diverse college," Economics of Education Review, Elsevier, vol. 30(2), pages 332-341, April.
    • Handle: RePEc:eee:ecoedu:v:30:y:2011:i:2:p:332-341
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    References listed on IDEAS

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    1. Cortes, Kalena E., 2010. "Do bans on affirmative action hurt minority students? Evidence from the Texas Top 10% Plan," Economics of Education Review, Elsevier, vol. 29(6), pages 1110-1124, December.
    2. Daniel L. Millimet & Rusty Tchernis & Muna Husain, 2010. "School Nutrition Programs and the Incidence of Childhood Obesity," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    3. Michael Grossman & Robert Kaestner & Sara Markowitz, 2004. "Get High and Get Stupid: The Effect of Alcohol and Marijuana Use on Teen Sexual Behavior," Review of Economics of the Household, Springer, vol. 2(4), pages 413-441, September.
    4. 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.
    5. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    6. 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.
    7. Krauth, Brian V., 2007. "Peer and Selection Effects on Youth Smoking in California," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 288-298, July.
    8. Cortes, Kalena E., 2010. "Do Bans on Affirmative Action Hurt Minority Students? Evidence from the Texas Top 10% Plan," IZA Discussion Papers 5021, Institute of Labor Economics (IZA).
    9. Krauth, Brian V., 2006. "Simulation-based estimation of peer effects," Journal of Econometrics, Elsevier, vol. 133(1), pages 243-271, July.
    10. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 681-704.
    11. Carolyn J. Heinrich & Peter R. Mueser & Kenneth R. Troske, 2009. "The Role of Temporary Help Employment in Low-Wage Worker Advancement," NBER Chapters, in: Studies of Labor Market Intermediation, pages 399-436, National Bureau of Economic Research, Inc.
    12. Kalena E. Cortes, 2010. "Do Bans on Affirmative Action Hurt Minority Students? Evidence from the Texas Top 10% Plan," Upjohn Working Papers and Journal Articles 10-168, W.E. Upjohn Institute for Employment Research.
    13. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2008. "Using Selection on Observed Variables to Assess Bias from Unobservables When Evaluating Swan-Ganz Catheterization," American Economic Review, American Economic Association, vol. 98(2), pages 345-350, May.
    14. Edward P. Lazear, 2001. "Educational Production," The Quarterly Journal of Economics, Oxford University Press, vol. 116(3), pages 777-803.
    15. Chatterji, Pinka & Dave, Daval & Kaestner, Robert & Markowitz, Sara, 2004. "Alcohol abuse and suicide attempts among youth," Economics & Human Biology, Elsevier, vol. 2(2), pages 159-180, June.
    16. David Neumark & Harry Holzer, 2000. "Assessing Affirmative Action," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 483-568, September.
    17. Johanne Boisjoly & Greg J. Duncan & Michael Kremer & Dan M. Levy & Jacque Eccles, 2006. "Empathy or Antipathy? The Impact of Diversity," American Economic Review, American Economic Association, vol. 96(5), pages 1890-1905, December.
    18. Evans, William N & Oates, Wallace E & Schwab, Robert M, 1992. "Measuring Peer Group Effects: A Study of Teenage Behavior," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 966-991, October.
    19. Harry J. Holzer & David Neumark, 2006. "Affirmative action: What do we know?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 25(2), pages 463-490.
    20. Chatterji, Pinka, 2006. "Does alcohol use during high school affect educational attainment?: Evidence from the National Education Longitudinal Study," Economics of Education Review, Elsevier, vol. 25(5), pages 482-497, October.
    21. Brian Krauth, 2005. "Peer effects and selection effects on smoking among Canadian youth," Canadian Journal of Economics, Canadian Economics Association, vol. 38(3), pages 735-757, August.
    22. Long, M.C.Mark C., 2004. "College applications and the effect of affirmative action," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 319-342.
    23. Berkowitz, Daniel & Hoekstra, Mark, 2011. "Does high school quality matter? Evidence from admissions data," Economics of Education Review, Elsevier, vol. 30(2), pages 280-288, April.
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    Cited by:

    1. Manan Roy, 2011. "How Well Does the U.S. Government Provide Health Insurance?," Departmental Working Papers 1102, Southern Methodist University, Department of Economics.
    2. repec:bla:ecinqu:v:56:y:2018:i:1:p:304-316 is not listed on IDEAS
    3. Barbara Wolfe & Jason Fletcher, 2013. "Estimating Benefits from University Level Diversity," CEPR Discussion Papers 680, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    4. Hinrichs, Peter, 2014. "Affirmative action bans and college graduation rates," Economics of Education Review, Elsevier, vol. 42(C), pages 43-52.
    5. Peter Hinrichs, 2012. "The Effects of Affirmative Action Bans on College Enrollment, Educational Attainment, and the Demographic Composition of Universities," The Review of Economics and Statistics, MIT Press, vol. 94(3), pages 712-722, August.
    6. Manan Roy, 2014. "How well does the U.S. Government provide health insurance for infants?," Empirical Economics, Springer, vol. 46(1), pages 253-284, February.
    7. Trinh Le, 2013. "Does Participation in Extracurricular Activities Reduce Engagement in Risky Behaviours?," Melbourne Institute Working Paper Series wp2013n35, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

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