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A Quest for Equity? Measuring the Effect of QuestBridge on Economic Diversity at Selective Institutions

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Abstract

In response to growing income stratification in higher education, President Obama convened a White House Summit in 2014 where over 100 selective institutions committed to increasing the number of low-income students on their campus. One way colleges proposed to do so is through partnerships with college access organizations like QuestBridge, a nonprofit organization that aims to increase the percentage of low-income students at elite universities. While institutions purport that QuestBridge improved socioeconomic diversity, empirical research has not confirmed these claims. In this study, we estimate the effect of QuestBridge on overall access of Pell eligible students at partner institutions using quasi-experimental methods. We find no increase in the economic diversity of colleges after establishing a partnership with QuestBridge, except for colleges simultaneously partnering with QuestBridge and enacting no-loan financial aid policies. We also consider whether participation in QuestBridge increases institutional status through larger application volumes and increased selectivity, and discuss implications for research and practice in the area of stratification.

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Notes

  1. Because of the timing of IPEDS data collection, several variables are lagged for the model of application volume. Lagged variables are identified in Table 4.

  2. We indirectly test the parallel trends assumption graphically and by regressing the dependent variables on (1) an indicator variable for eventual QuestBridge partners, (2) a trend variable, and (3) an interaction of the indicator and trend variables. A significant coefficient on the interacted term would suggest a violation of the parallelism assumption. Results from this analyses (available by request) show that the interaction term is statistically insignificant for all dependent variables, and the point estimate is essentially zero.

References

  • About QuestBridge: Mission and vision (n.d.). Retrieved from http://www.questbridge.org/about-questbridge/mission-a-vision.

  • Andrews, R. J., DesJardins, S. L., & Ranchhod, V. (2010). The effects of the Kalamazoo Promise on college choice. Economics of Education Review, 29(5), 722–737.

    Article  Google Scholar 

  • Astin, A. W., & Oseguera, L. (2004). The declining “equity” of American higher education. The Review of Higher Education, 27(3), 321–341.

    Article  Google Scholar 

  • Avery, C., & Hoxby, C. M. (2012). The missing “one-offs”: The hidden supply of high-achieving, low income students. (NBER Working Paper 18586). Cambridge, MA: National Bureau of Economic Research.

  • Avery, C., Hoxby, C., Jackson, C., Burek, K., Pope, G., & Raman, M. (2006). Cost should be no barrier: An evaluation of the first year of Harvard’s financial aid initiative (No. w12029). National Bureau of Economic Research.

  • Avery, C., & Levin, J. (2010). Early admissions at selective colleges. American Economic Review, 100, 2125–2156.

    Article  Google Scholar 

  • Bastedo, M. N., & Flaster, A. (2014). Conceptual and methodological problems in research on college undermatch. Educational Researcher, 43(2), 93–99.

    Article  Google Scholar 

  • Bastedo, M. N., & Gumport, P. J. (2003). Access to what? Mission differentiation and academic stratification in US public higher education. Higher Education, 46, 341–359.

    Article  Google Scholar 

  • Bastedo, M. N., & Jaquette, O. (2011). Running in place: Low-income students and the dynamics of higher education stratification. Educational Evaluation and Policy Analysis, 33(3), 318–339.

    Article  Google Scholar 

  • Baum, C. F. (2008). Stata tip 63: Modeling proportions. Stata Journal, 8(2), 299.

    Google Scholar 

  • Belasco, A. S., Rosinger, K. O., & Hearn, J. C. (2014). The test-optional movement at America’s selective liberal arts colleges: A boon for equity or something else? Educational Evaluation and Policy Analysis, XX, 1–18. doi:10.3102/0162373714537350.

    Google Scholar 

  • Blundell, R., & Costa Dias, M. (2000). Evaluation methods for non-experimental data. Fiscal Studies, 21(4), 427–468.

    Article  Google Scholar 

  • Bourdieu, P. (1993). The field of cultural production. Cambridge, UK: Polity Press.

    Google Scholar 

  • Bourdieu, P., & Wacquant, L. J. D. (1992). An invitation to reflexive sociology. Cambridge, UK: Polity Press.

    Google Scholar 

  • Bowen, W. G., & Bok, D. (1998). The shape of the river: Long-term consequences of considering race in college and university admissions. Princeton, NJ: Princeton University Press.

    Book  Google Scholar 

  • Bowen, W. G., Chingos, M. M., & McPherson, M. S. (2009). Crossing the finish line: Completing college at America’s public universities. Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Bowman, N. A., & Bastedo, M. N. (2009). Getting on the front page: Organizational reputation, status signals, and the impact of US News and World Report on student decisions. Research in Higher Education, 50, 415–436.

    Article  Google Scholar 

  • Buis, M. (2002). Analyzing proportions. Presentation at 2010 German Stata Users Group meeting. Retrieved from http://www.stata.com/meeting/germany10/germany10_buis.pdf.

  • Cabrera, A. F., & La Nasa, S. M. (2000). Understanding the college-choice process. In A. F. Cabrera & S. M. LaNasa (Eds.), Understanding the college choice of disadvantaged students (pp. 5–22). San Francisco: Jossey-Bass Publishers.

    Google Scholar 

  • Carnevale, A. P., & Rose, S. (2004). Socioeconomic status, race/ethnicity, and selective college admissions. In R. D. Kahlenberg (Ed.), America’s untapped resource: Low-income students in higher education (pp. 101–156). New York, NY: The Century Foundation.

    Google Scholar 

  • Carnevale, A. P., & Strohl, J. (2013). Separate and unequal: How higher education reinforces the intergenerational reproduction of white racial privilege. Washington, D.C.: Georgetown University.

    Google Scholar 

  • Clark, B. R. (1970). The distinctive college. New Brunswick, N.J.: Transaction.

    Google Scholar 

  • College Partners (n.d.). Retrieved from https://www.questbridge.org/college-partners.

  • Cox, N. J. (2003). How can I get an R-squared value when a STATA command does not supply one? Retrieved from www.stata.com/support/faqs/statistics/r-squared.

  • Cunningham, A., Redmond, C., & Merisotis, J. (2003). Investing early: Intervention programs in selected US states. Montreal, Canada: Canada Millennium Scholarship Foundation.

    Google Scholar 

  • Dynarski, S. M. (1999). Does aid matter? Measuring the effect of student aid on college attendance and completion (NBER Working Paper 7422). Cambridge, MA: National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w7422.

  • Ehrenberg, R. G., Zhang, L., & Levin, J. M. (2006). Crafting a class: The trade-off between merit scholarships and enrolling lower-income students. The Review of Higher Education, 29(1), 195–211.

    Article  Google Scholar 

  • Fensky, R. H., Geranios, C. A., Keller, J. E., & Moore, D. E. (1997). Early intervention programs: Opening the door to higher education (ASHE-ERIC Higher Education Report, Vol. 25, No. 6). Washington, D.C.: George Washington University, Graduate School of Education and Human Development.

  • Grodsky, E. (2007). Compensatory sponsorship in higher education. American Journal of Sociology, 112(6), 1662–1712.

    Article  Google Scholar 

  • Hearn, J. C., & Rosinger, K. O. (2014). Socioeconomic diversity in selective private colleges: An organizational analysis. The Review of Higher Education, 38(1), 71–104.

    Article  Google Scholar 

  • Hill, C. B., & Winston, G. C. (2006). How scarce are high-ability, low-income students. In M. S. McPherson & M. Shapiro (Eds.), College access: Opportunity or privilege?. New York: The College Board.

    Google Scholar 

  • Hill, C. B., & Winston, G. C. (2010). Low-income students and highly selective colleges: Geography, searching and recruiting. Economics of Education Review, 29(4), 495–503.

    Article  Google Scholar 

  • Hill, C. B., Winston, G. C., & Boyd, S. A. (2005). Affordability: Family incomes and net prices at highly selective private colleges and universities. Journal of Human Resources, 40(4), 769–790.

    Article  Google Scholar 

  • Hillman, N. W. (2013). Economic diversity in elite higher education: Do no-loan programs impact Pell enrollments? The Journal of Higher Education, 84(6), 806–833.

    Article  Google Scholar 

  • Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2007). Matching as nonparametric preprocessing for reducing model dependence in parametric causal interence. Political Analysis, 15(3), 199–236.

    Article  Google Scholar 

  • Horace, W. C., & Oaxaca, R. L. (2006). Results on the bias and inconsistency of ordinary least squares for the linear probability model. Economic Letters, 90, 321–327.

    Article  Google Scholar 

  • Hossler, D., & Gallagher, K. S. (1987). Studying student college choice: A three-phase model and the implications for policymakers. College and University, 62(3), 207–221.

    Google Scholar 

  • Hoxby, C., & Turner, S. (2013). Expanding college opportunities for high-achieving, low income students. (SIEPR Discussion Paper 12-014). Stanford, CA: Stanford Institute for Economic Policy Research.

  • John, E., Hu, S., & Fisher, A. (2010). Breaking through the access barrier: Academic capital formation informing public policy. New York: Routledge.

    Google Scholar 

  • King, G., Lucas, C., & Nielsen, R. (2013). Optimizing balance and sample size in matching methods for causal inference. Retrieved from http://gking.harvard.edu/files/gking/files/frontier_0.pdf

  • Lechner, M. (2011). The estimation of causal effects by difference-in-difference methods. (Working Paper 2010-28). St. Gallen: University of St. Gallen.

  • Long, B. T. (2004). How have college decisions changed over time? An application of the conditional logistic choice model. Journal of Econometrics, 121(1), 271–296.

    Article  Google Scholar 

  • McPherson, M. S., & Schapiro, M. O. (1991). Does student aid affect college enrollment? New evidence on a persistent controversy. The American Economic Review, 81(1), 309–318.

    Google Scholar 

  • Merton, R. K. (1936). The unanticipated consequences of purposive social action. American Sociological Review, 1, 894–904.

    Article  Google Scholar 

  • Merton, R. K. (1957). Social theory and social structure. New York: Free Press.

    Google Scholar 

  • Morphew, C. C., & Huisman, J. (2002). Using institutional theory to reframe research on academic drift. Higher education in Europe, 27(4), 491–506.

    Article  Google Scholar 

  • No Loans for Low Income Students (n.d.). Retrieved from http://www.finaid.org/questions/noloansforlowincome.phtml

  • Pallais, A. (2015). Small differences that matter: mistakes in applying to college (NBER Working Paper w19480). Cambridge, MA: National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w19480.

  • Papke, L. E., & Wooldridge, J. M. (2008). Panel data methods for fractional response variables with an application to test pass rates. Journal of Econometrics, 145(1), 121–133.

    Article  Google Scholar 

  • Papke, L., & Wooldrige, J. (1996). Econometric methods for fractional response variables with an application to 401(k) participation rates. Journal of Applied Econometrics, 11, 619–632.

    Article  Google Scholar 

  • Perna, L. W. (2006). Studying college access and choice: A proposed conceptual model. In M. B. Paulsen & J. C. Smart (Eds.), Higher education: handbook of theory and research (XXI ed., pp. 99–157). Dordrecht: Springer.

    Google Scholar 

  • Perna, L. W., & Kurban, E. (2013). Improving college access and choice. In L. W. Perna & A. Jones (Eds.), The state of college access and completion: Improving college success for students from underrepresented groups (pp. 10–33). New York: Routledge.

    Google Scholar 

  • Perna, L. W., Rowan-Kenyon, H., Bell, A., Thomas, S. L., & Li, C. (2008). A typology of federal and state programs designed to promote college enrollment. The Journal of Higher Education, 79(3), 243–267.

    Article  Google Scholar 

  • Reynolds, C. L., & DesJardins, S. L. (2009). The use of matching methods in higher education research: Answering whether attendance at a 2-year institution results in differences in educational attainment. In M. B. Paulsen & J. C. Smart (Eds.), Higher education: Handbook of theory and research (pp. 47–97). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Schmitt, C. M. (2009). Documentation for the restricted-use NCES-Barron’s admissions competitiveness index data files: 1972, 1982, 1992, 2004, and 2008 (NCES 2010-330). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC.

  • Schneider, B., Carnoy, M., Kilpatrick, J., Schmidt, W. H., & Shavelson, R. J. (2007). Estimating causal effects using experimental and observational designs. Washington, DC: American Educational Research Association.

    Google Scholar 

  • Swail, W. S., & Perna, L. W. (2002). Pre-college outreach and early intervention programs: A national imperative. In W. G. Tierney & L. S. Hagedorn (Eds.), Increasing access to college: Extending the possibilities for all students (pp. 15–34). Albany, NY: SUNY Press.

    Google Scholar 

  • The White House, Office of the Press Secretary (2014a). The president and first lady’s call to action on college opportunity [Press release]. Retrieved from http://www.whitehouse.gov/the-press-office/2014/12/04/president-and-first-lady-s-call-action-college-opportunity

  • The White House, The Executive Office of the President (2014b, January). Commitments to action on college opportunity [Report]. Retrieved from https://www.whitehouse.gov/sites/default/files/docs/college_opportunity_commitments_1-16-2014_final.pdf

  • Why the Coalition? (n.d.). Retrieved from http://www.coalitionforcollegeaccess.org/why.html.

  • Winston, G. C. (1999). Subsidies, hierarchy and peers: The awkward economics of higher education. The Journal of Economic Perspectives, 13(1), 13–36.

    Article  Google Scholar 

  • Winston, G. C. (2000). Economic Stratification and Hierarchy among U.S. Colleges and Universities. Discussion Paper 58, Williams Project on the Economics of Higher Education, pp. 1–37.

  • Winston, G. C. (2004). Differentiation among US colleges and universities. Review of Industrial Organization, 24(4), 331–354.

    Article  Google Scholar 

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Acknowledgements

We would like to thank Prof. Peter Bahr, Joe Howard, Prof. Stephen DesJardins, Prof. Michael Bastedo, and attendees at the 2015 GSCO-BET Graduate Student Conference and 2015 Association for the Study of Higher Education Conference for valuable comments and feedback. All remaining errors are our own. We share equally in authorship; names are listed alphabetically.

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Correspondence to Fernando Furquim.

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Furquim, F., Glasener, K.M. A Quest for Equity? Measuring the Effect of QuestBridge on Economic Diversity at Selective Institutions. Res High Educ 58, 646–671 (2017). https://doi.org/10.1007/s11162-016-9443-x

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