Accelerating College Knowledge: A Fiscal Analysis of a Targeted Early Commitment Pell Grant Program

References

• Advisory Committee on Student Financial Assistance (2005). The student aid gauntlet: Making access to college simple and certain. Washington, DC: U.S. Department of Education.
   Google Scholar
• Advisory Committee on Student Financial Assistance (2008a). Apply to succeed: Ensuring community college students benefit from need-based financial aid. Washington, DC: U.S. Department of Education.
   Google Scholar
• Advisory Committee on Student Financial Assistance (2008b). Early & often: Designing a comprehensive system of financial aid information. Washington, DC: U.S. Department of Education.
   Google Scholar
• Andrews, R. J. (2014). The promise of “promise” programs. In A. Kelly & S. Goldrick-Rab (Eds.), Reinventing student aid for the 21^st century (pp. 55–74). Cambridge, MA: Harvard University Press.
   Google Scholar
• Aud, S., Hussar, W., Johnson, F., Kena, G., Roth, E., Manning, E., Wang, X., & Zhang, J. (2012). The condition of education 2012. Washington, DC: U.S. Department of Education, National Center for Education Statistics.
   Google Scholar
• Bailey, M. J., & Dynarski, S. (2011). Inequality in postsecondary education. In G. Duncan & R. Murnane (Eds.), Whither opportunity? (pp. 117–132). New York: Russell Sage Foundation.
   Google Scholar
• Bartik, T. J., & Lachowska, M. (2012). The short-term effects of the Kalamazoo Promise scholarship on student outcomes (Working Paper 12–186). Kalamazoo, MI: Upjohn Institute.
   Google Scholar
• Belfield, C. R., & Levin, H. M. (2007). The price we pay: Economic and social consequences of inadequate education. Washington, DC: The Brookings Press.
   Google Scholar
• Bettinger, E. P., Long, B. T., Oreopoulos, P., & Sanbonmatsu, L. (2012). The role of application assistance and information in college decisions: Results from the H&R Block FAFSA experiment. The Quarterly Journal of Economics, 127(3), 1205–1242.
   Web of Science ®Google Scholar
• Cabrera, A. F., & La Nasa, S. M. (2000). Understanding the college-choice process. New Directions for Institutional Research, 107, 5–22.
   Google Scholar
• Cabrera, A. F., & La Nasa, S. M. (2001). On the path to college: Three critical tasks facing America's disadvantaged. Research in Higher Education, 42(2), 119–149.
   Web of Science ®Google Scholar
• Caner, A., & Wolff, E. N. (2004). Asset poverty in the United States, 1984–99: Evidence from the Panel Study of Income Dynamics. Review of Income and Wealth, 50(4), 493.
   Google Scholar
• Carnevale, A. P., Rose, S. J., & Cheah, B. (2011). The college payoff: Education, occupations, lifetime earnings. Washington, DC: The Georgetown University Center on Education and the workforce.
   Google Scholar
• Castleman, B. L., & Long, B. T. (2013). Looking beyond enrollment: The causal effect of need-based grants on college access, persistence, and completion (National Bureau of Economic Research Working Paper No. 19306). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• College Board and College Foundation of North Carolina (2012). What students and parents need: Early information about paying for college. Retrieved from http://advocacy.collegeboard.org/sites/default/files/impact-early-financial-aid-info-research-north-carolina.pdf
   Google Scholar
• Conley, D. (2001). Capital for college: Parental assets and postsecondary schooling. Sociology of Education, 74(1), 59–72.
   Web of Science ®Google Scholar
• Destin, M., & Oyserman, D. (2009). From assets to school outcomes: How finances shape children's perceived possibilities and intentions. Psychological Science, 20(4), 414418.
   Web of Science ®Google Scholar
• Dynarski, S., & Scott-Clayton, J. (2008). Complexity and targeting in federal student aid: A quantitative analysis. In J.M. Poterba (Ed.), Tax policy and the economy, Vol. 22 (pp. 109–150). Chicago: University of Chicago Press.
   Google Scholar
• Dynarski, S., Scott-Clayton, J., & Wiederspan, M. (2013). Simplifying tax incentives and aid for college: Progress and prospects (National Bureau of Economic Research Working Paper No. 18707). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Dynarski, S., & Wiederspan, M. (2012). Student aid simplification: Looking back and looking ahead (National Bureau of Economic Research Working Paper No. 17834). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Elliott, W., III (2009). Children's college aspirations and expectations: The potential role of children's development accounts (CDAs). Children and Youth Services Review, 31(2), 274–283.
   Web of Science ®Google Scholar
• Elliott, W., III (2013). Biannual report on the assets and education field. Lawrence, KS: Assets and Education Initiative.
   Google Scholar
• Elliott, W., III, Choi, E. H., Destin, M., & Kim, K. H. (2011). The age old question, which comes first? A simultaneous test of children's savings and children's college-bound identity. Children and Youth Services Review, 33, 1101–1111.
   Web of Science ®Google Scholar
• Fitzgerald, B. K. (2006). Lowering barriers to college access: Opportunities for more effective coordination of state and federal student aid policies. In P. Gandara, G. Orfield, & C. L. Horn, (Eds.), Expanding opportunity in higher education: Leveraging promise (pp. 53–73). Albany, NY: SUNY Press.
   Google Scholar
• Ford, R., Frenette, M., Nicholson, C., Kwakye, I., Hul, T.S., Hutchison, J., Dobrer, S., Smith Fowler, H., & Hebert, S. (2012). Future to discover: post-secondary impacts report. Ottawa, Ontario: Social Research and Demonstration Corporation.
   Google Scholar
• Feeney, M., & Heroff, J. (2013). Barriers to need-based financial aid: Predictors of timely FAFSA completion among low-income students. Journal of Student Financial Aid, 43(2), 65–85.
   Google Scholar
• Goldrick-Rab, S., & Pfeiffer, F. (2009). Beyond access: Explaining social class differences in college transfer. Sociology of Education, 82(2), 101–125.
   Web of Science ®Google Scholar
• Gordon, A., & Fox, M. K. (2007). School nutrition dietary assessment study-III: Summary of findings. Washington, DC: United States Department of Agriculture.
   Google Scholar
• Gottschalk, P., & Moffitt, R. (2009). The rising instability of U.S. earnings. Journal of Economic Perspectives, 23(4), 3–24.
   Web of Science ®Google Scholar
• Gouskova, E., Heeringa, S. G., McGonagle, K., & Schoeni, R. F. (2008). Panel Study of Income Dynamics revised longitudinal weights, 1993–2005. Ann Arbor: Survey Research Center, Institute for Social Research, University of Michigan.
   Google Scholar
• Grodsky, E., & Jones, M. T. (2007). Real and imagined barriers to college entry: Perceptions of cost. Social Science Research, 36, 745–766.
   Web of Science ®Google Scholar
• Harnisch, T. L. (2009). State early commitment programs: A contract for college success? Washington, DC: American Association of State Colleges and Universities.
   Google Scholar
• Harris, D. N. (2009). Toward policy-relevant benchmarks for interpreting effect sizes: Combining effects with costs. Educational Evaluation and Policy Analysis, 31(1), 3–29.
   Web of Science ®Google Scholar
• Harris, E. (2012). The distribution of household income and federal taxes, 2008 and 2009. Washington, DC: Congressional Budget Office.
   Google Scholar
• Harvill, E., Nguyen, H., Robertson-Kraft, C., Tognatta, N., & Maynard, R. (2011). Effects of college access programs on college readiness and enrollment. Paper presented at the Society for Research on Educational Effectiveness, Washington, Dc.
   Google Scholar
• Heller, D. E. (2006). Early commitment of financial aid eligibility. American Behavioral Scientist, 49(12), 1719–1738.
   Web of Science ®Google Scholar
• Hoxby, C. M., & Avery, C. (2012). The missing “one-offs”: The hidden supply of high-achieving, low-income students (National Bureau of Economic Research Working Paper No. 18586). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Hoxby, C. M., & Turner, S. (2013). Expanding college opportunities for high-achieving, low income students (SIEPR Discussion Paper No. 12–014). Stanford, CA: Stanford Institute for Economic Policy Research.
   Google Scholar
• Huelsman, M., & Cunningham, A. F. (2013). Making sense of the system: Financial aid reform for the 21^st century student. Washington, DC: Institute for Higher Education Policy.
   Google Scholar
• Jones, J. N., Miron, G., & Kelaher-Young, A. J. (2012). The Kalamazoo Promise and perceived changes in teacher beliefs, expectations and behaviors. The Journal of Educational Research, 105(1), 36–51.
   Web of Science ®Google Scholar
• Kantrowitz, M. (2009). Analysis of why some students do not apply for financial aid. Finaid.org. Retrieved from http://www.finaid.org/educators/20090427CharacteristicsOfNonApplicants.pdf
   Google Scholar
• Keister, L. A., & Moller, S. (2000). Wealth inequality in the United States. Annual Review of Sociology, 26, 63–81.
   Web of Science ®Google Scholar
• Kelchen, R., & Jones, G. (forthcoming). A simulation of Pell Grant awards and costs using prior-prior year financial data. Journal of Education Finance, 40(3).
   Google Scholar
• Klasik, D. (2012). The college application gauntlet: A systematic analysis of the steps to four-year college enrollment. Research in Higher Education, 53(5), 506–549.
   Web of Science ®Google Scholar
• LaManque, A. (2009). Factors associated with delayed submission of the free application for federal financial aid. Journal of Applied Research in the Community College, 17(1), 6–12.
   Google Scholar
• Long, M. C., Conger, D., & Iatarola, P. (2012). Effects of high school course-taking on secondary and postsecondary success. American Educational Research Journal, 49(2), 285–322.
   Web of Science ®Google Scholar
• Lucas, S. R., & Berends, M. (2002). sociodemographic diversity, correlated achievement, and de facto tracking. Sociology of Education, 75(4), 328–348.
   Web of Science ®Google Scholar
• Luna de la Rosa, M. (2006). Is opportunity knocking? Low-income students' perceptions of college and financial aid. American Behavioral Scientist, 49(12), 1670–1686.
   Web of Science ®Google Scholar
• Mandell, L. S. (2008). Teaching young dogs old tricks: The effectiveness of financial literacy interventions in pre-high school grades. In T. A. Lucey & K. S. Cooter, (Eds.), Financial literacy for children and youth. Athens, GA: Digital Textbooks.
   Google Scholar
• Mandell, L., & Klein, L. S. (2009). The impact of financial literacy education on subsequent financial behavior. Journal of Financial Counseling and Planning, 20(1), 15–24.
   Google Scholar
• Meyer, B. D., Mok, W. K. C., & sullivan, J. X. (2009). The under-reporting of transfers in household surveys: Its nature and consequences (National Bureau of Economic Research Working Paper No. 15181). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Mirtcheva, D. M., & Powell, L. M. (2009). Participation in the National school Lunch Program: Importance of school-level and neighborhood contextual factors. Journal of School Health, 79(10), 485–494.
   PubMed Web of Science ®Google Scholar
• Moore, M. A., Boardman, A. E., Vining, A. R., Weimer, D. L., & Greenberg, D. H. (2004). “Just give me a number!” Practical values for the social discount rate. Journal of Policy Analysis and Management, 23(4), 789–812.
   Web of Science ®Google Scholar
• National Association of Student Financial Aid Administrators (2013). Reimagining financial aid to improve student access and outcomes. Washington, DC: Author.
   Google Scholar
• Office of the Chief Actuary (2012). Actuarial life table. Social Security Administration. Retrieved from http://www.ssa.gov/oact/sTATs/table4c6.html
   Google Scholar
• Oreopoulos, P., & Dunn, R. (2012). Information and college access: Evidence from a randomized field experiment (National Bureau of Economic Research Working Paper No. 18551). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• Peng, T. M., Bartholomae, S., Fox, J. J., & Cravener, G. (2007). The impact of personal finance education delivered in high school and college courses. Journal of Family and Economic Issues, 28, 265–284.
   Google Scholar
• Perna, L. W., & Titus, M. A. (2005). The relationship between parental involvement as social capital and college enrollment: An examination of racial/ethnic group differences. The Journal of Higher Education, 76(5), 485–518.
   Web of Science ®Google Scholar
• Plank, S. B., & Jordan, W. J. (2001). Effects of information, guidance, and actions on postsecondary destinations: A study of talent loss. American Educational Research Journal, 38(4), 947–979.
   Web of Science ®Google Scholar
• Reardon, S. F. (2011). The widening academic achievement gap between the rich and the poor: New evidence and possible explanations. In G. Duncan & R. Murnane (Eds.), Whither opportunity? (pp. 91–116). New York: Russell Sage Foundation.
   Google Scholar
• Roderick, M., Nagaoka, J., & Coca, V. (2009). College readiness for all: The challenge for urban high Schools. The Future of Children, 19(1), 185–210.
   PubMed Web of Science ®Google Scholar
• Rowan-Kenyon, H. T., Bell, A. D., & Perna, L. W. (2008). Contextual influences on parental involvement in college going: Variations by socioeconomic class. The Journal of Higher Education, 79(5), 564–586.
   Web of Science ®Google Scholar
• Rubinstein, R. Y., & Kroese, D. P. (2008). simulation and the Monte Carlo method (2nd Ed). Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• Schwartz, S. (2008). Early commitment of student financial aid: Perhaps a modest improvement. In S. Baum, M. Mcpherson, & P. steele (Eds.), The effectiveness of student aid policies: What the research tells us (pp. 123–140). New York: The College Board.
   Google Scholar
• Shin, D., & solon, G. (2011). Trends in men's earnings volatility: What does the Panel study of Income Dynamics show? Journal of Public Economics, 95, 973–982.
   Web of Science ®Google Scholar
• Toossi, M. (2012, January). Labor force projections to 2020: A more slowly growing workforce. Monthly Labor Review, 43–64.
   Google Scholar
• Toutkoushian, R. K., Hossler, D., DesJardins, S. L., Mccall, B., & González Canché, M. (2012). Effect of twenty-first century scholars program on college aspirations and completion. Working paper. Retrieved from Association for Education Finance Policy annual conference website: http://www.aefpweb.org/sites/default/files/webform/Effect%20of%20TFCS%20on%20Student%20Aspirations%20and%200utcomes%20030113.pdf
   Google Scholar
• United states Department of Education (2012). The EFC formula, 2012–2013. Washington, DC: U.S. Department of Education, Office of Postsecondary Education.
   Google Scholar
• United states Department of Education (2013). 2011–2012 federal Pell grant end-of-year report. Washington, DC: U.S. Department of Education, Office of Postsecondary Education.
   Google Scholar
• Wagmiller, R., & smith, M. (2013). Trends in family income volatility during childhood: Have patterns for poor and non-poor children diverged? Working Paper.
   Google Scholar
• Wolfe, B. L., & Haveman, R. H. (2002). social and nonmarket benefits from education in an advanced economy. In Y. K. Kodrzycki (Ed.), Education in the 21^st century: Meeting the challenges of a changing world (pp. 97–142) Boston, MA: Federal Reserve Bank of Boston.
   Google Scholar
• Young, N., Diakova, S., Earley, T., Carnagey, J., Krome, A., & Root, C. (2012). school food purchase study—III: Final report. Alexandria, VA: Agralytica, Inc.
   Google Scholar
• Zimmerman, S. (2014). The returns to college admission for academically marginal students. Journal of Labor Economics, 32(4), 711–754.
   Web of Science ®Google Scholar