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Why Financial Aid Matters (or Does Not) for College Success: Toward a New Interdisciplinary Perspective

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Part of the Higher Education: Handbook of Theory and Research book series (HATR,volume 24)

Abstract

The failure to account for group differences in responsiveness to financial aid is a primary shortcoming of existing higher education research, and compromises the explanatory power of theories and models. Even more importantly, it limits the ability of policymakers and practitioners to achieve the important goals of increased college success and reduced achievement gaps. In this chapter, we identify and explore concepts from social sciences disciplines which hold promise in terms of informing future theoretical developments in the field. Drawing primarily on the work of behavioral economists, and economic sociologists, we discuss concepts such as aversion to risk, work centrality, ambiguity aversion, and consistency theory which may serve to illuminate several unexplained anomalies in prior empirical research. We also describe the methodological problems plaguing the study of financial aid and argue that tests of existing theories, as well as those we propose here, require research that addresses selection bias in who receives aid. We then describe other aspects of future research critical to the testing of these concepts.

Keywords

  • Human Capital
  • Risk Aversion
  • Relative Risk Aversion
  • Ambiguity Aversion
  • Credit Constraint

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  • Adelman, C. (1999). Answers in the tool box: Academic intensity, attendance patterns, and bachelor's degree attainment. Washington, DC: US Department of Education.

    Google Scholar 

  • Adelman, C. (2006). Answers in the tool box revisited. Washington, DC: US Department of Education.

    Google Scholar 

  • Adelman, C. (2007). Do we really have a college access problem? Change July/August, 48.

    Google Scholar 

  • Alon, S. (2005). Model mis-specification in assessing the impact of financial aid on academic outcomes. Research in Higher Education, 46(1), 109–125.

    Google Scholar 

  • Alon, S. (2007). The influence of financial aid in leveling group differences in graduating from elite institutions. Economics of Education Review, 26, 296–311.

    Google Scholar 

  • Angrist, J., Lang, D., & Oreopoulos, P. (2007). Incentives and services for college achievement: Evidence from a randomized trial (IZA Discussion Paper No. 3134). Retrieved June 13, 2008, from http://ssrn.com/abstract = 1032118

  • Argys, L., & Rees, D. (2008). Searching for peer group effects: A test of the contagion hypothesis. The Review of Economics and Statistics, 90(3), 442–458.

    Google Scholar 

  • Ashenfelter, O., Harmon, C., & Oosterbeek, H. (1999). A review of estimates of the schooling/ earnings relationship, with tests for publication bias. Labour Economics, 6(4), 453–470.

    Google Scholar 

  • Astin, H. S., & Cross, K. P. (1979). Student financial aid and persistence in college. Los Angeles, CA: Higher Education Research Institute.

    Google Scholar 

  • Attewell, P., & Lavin, D. (2007). Passing the torch. New York: Russell Sage Foundation.

    Google Scholar 

  • Avery, C., & Kane, T. J. (2004). Student perceptions of college opportunities: The Boston COACH program. Chapter 8. In Caroline Hoxby (Ed.), College choices: Economics of where to go, when to go, and how to pay for it. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Barnett, W. S. (1992). Benefits of compensatory preschool education. Journal of Human Resources, 27(2), 279–312.

    Google Scholar 

  • Barnett, W. S. (1995). Long-term effects of early childhood programs on cognitive and school outcomes. The Future of Children, 5(3), 25–50.

    Google Scholar 

  • Barnett, W. S., & Masse, L. N. (2007). Comparative benefit-cost analysis of the Abecedarian program and its policy implications. Economics of Education Review, 26(1), 113–125.

    Google Scholar 

  • Baum, S., & Payea, K. (2004). Education pays: The benefits of higher education for individuals and society. New York: College Board.

    Google Scholar 

  • Beattie, I. (2002). Are all ‘adolescent econometricians’ created equal? Racial, class and gender differences in college enrollment. Sociology of Education, 75(1), 19–43.

    Google Scholar 

  • Becker, G. S. (1975). Human capital: A theoretical and empirical analysis with special reference to education (2nd ed.). New York: National Bureau of Economic Research.

    Google Scholar 

  • Becker, W. E. (2004). Omitted variables and sample selection problems in studies of college-going decisions. In C. Teddlie & E. A. Kemper (Series Eds.) and E. P. St. John (Vol. Ed.), Readings on equal education, Vol. 19. Public policy and college access: Investigating the federal and state roles in equalizing postsecondary opportunity. New York: AMS Press.

    Google Scholar 

  • Belfield, C. R., Nores, M., Barnett, S., & Schweinhart, L. (2006). The High/Scope Perry Preschool Program: Cost-benefit analysis using data from the age-40 followup. Journal of Human Resources, 41(1), 162–190.

    Google Scholar 

  • Ben-Porath, Y. (1967). The production of human capital and the life cycle of earnings. Journal of Political Economy, 75(4, pt. 1), 352–365.

    Google Scholar 

  • Berea College. (2007). Fact book. Retrieved April 22, 2008, from www.berea.edu/ira/documents/ factbook0708a.pdf

  • Berger, J. B. (2000). Optimizing capital, social reproduction, and undergraduate persistence: A sociological perspective. In J. M. Braxton (Ed.), Reworking the student departure puzzle (pp. 95–124). Nashville, TN: Vanderbilt University Press.

    Google Scholar 

  • Bettinger, E. (2004). How financial aid affects persistence. In C. Hoxby (Ed.), College choices: The economics of where to go, when to go, and how to pay for it. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Betts, J. R. (1996). What do students know about wages? Evidence from a survey of undergraduates. Journal of Human Resources, 31(1), 27–56.

    Google Scholar 

  • Blanchflower, D. G., & Oswald, A. J. (2004). Well-being over time in Britain and the USA. Journal of Public Economics, 88(7), 1359–1386.

    Google Scholar 

  • Blinder, A. S., & Weiss, Y. (1976). Human capital and labor supply: A synthesis. Journal of Political Economy, 84(3), 449–472.

    Google Scholar 

  • Bound, J., & Turner, S. (2002). Going to war and going to college: Did World War II and the G.I. Bill increase educational attainment for returning veterans? Journal of Labor Economics, 20, 784–815.

    Google Scholar 

  • Bound, J., & Turner, S. (2006). Cohort crowding: How resources affect collegiate Attainment. NBER WP No. 12424.

    Google Scholar 

  • Bound, J., Lovenheim, M., & Turner, S. (2007). Understanding the increased time to baccalaureate degree. Working Paper. Accessed August 22, 2008 from http://people.virginia.edu/~set5h/ SarahPapers/jb_ml_st_time2ba.pdf

  • Bozick, R. (2007). Making it through the first year of college: The role of students’ economic resources, employment and living arrangements. Sociology of Education, 80, 261–285.

    CrossRef  Google Scholar 

  • Breen, R., & Goldthorpe, J. (1997). Explaining educational differentials: Towards a formal rational action theory. Rationality and Society, 9, 275–305.

    Google Scholar 

  • Breen, R., & Yaish, M. (2006). Testing the Breen-Goldthorpe model of educational decision making. Chapter 9. In S. Morgan et al. (Eds.), Mobility and inequality. Stanford, CA: Stanford University Press.

    Google Scholar 

  • Brock, T., & Richburg-Hayes, L. (2006). Paying for persistence: Early results of a Louisiana scholarship program for low-income parents attending community college. New York: MDRC

    Google Scholar 

  • Burdman, P. (2005). The student debt dilemma: Debt aversion as a barrier to college access (Research and Occasional Paper Series, CSHE.13.05). Berkeley, CA: University of California, Berkeley, Center for Studies in Higher Education.

    Google Scholar 

  • Burgdorf, B. D., & Kostka, K. (2006). Eliminating complexity and inconsistency in federal financial aid programs for higher education students: Towards a more strategic approach (Issue Paper #7). Washington, DC: US Department of Education, Secretary of Education's Commission on the Future of Higher Education.

    Google Scholar 

  • Cabrera, A. F., & La Nasa, S. M. (2000). Understanding the college choice of disadvantaged students. San Francisco, CA: Jossey-Bass.

    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), 119–150.

    Google Scholar 

  • Cabrera, A. F., Stampen, J. O., & Hansen, W. L. (1990). Exploring the effects of ability to pay on persistence in college. The Review of Higher Education, 13(3), 303–336.

    Google Scholar 

  • Cabrera, A. F., Nora, A., & Castañeda, M. B. (1992). The role of finances in the persistence process: A structural model. Research in Higher Education, 33, 571–593.

    Google Scholar 

  • Cabrera, A. F., Nora, A., & Castañeda, M. B. (1993). College persistence: Structural equations modeling test of an integrated model of student retention. Journal of Higher Education, 64,123–139.

    Google Scholar 

  • Cabrera, A. F., Burkum, K., & La Nasa, S. M. (2003). Pathways to a four-year degree: Determinants of degree completion among socioeconomically disadvantaged students. Paper presented at the Association for the Study of Higher Education, Portland, OR.

    Google Scholar 

  • Cameron, S., & Heckman, J. J. (1998). Life cycle schooling and dynamic selection bias: Models and evidence for five cohorts of American males. Journal of Political Economy, 106(2), 262–333.

    Google Scholar 

  • Cameron, S. V., & Heckman, J. J. (2001). The dynamics of educational attainment for Black, Hispanic, and white males. Journal of Political Economy, 109(3), 455–499.

    Google Scholar 

  • Cameron, S. V., & Taber, C. (2004). Estimation of educational borrowing constraints using returns to schooling. Journal of Political Economy, 112(1), 132–182.

    Google Scholar 

  • Campbell, F. A., Ramey, C. T., Pungello, E., Sparling, J., & Miller-Johnson, S. (2002). Early childhood education: Young adult outcomes from the Abecedarian Project. Applied Developmental Science, 6(1), 42–57.

    Google Scholar 

  • Card, D. (1999). The causal effect of education on earnings. In O. Ashenfelter & D. Card (Eds.), Handbook of labor economics, Vol. 3 (pp. 1801–1863). Amsterdam: Elsevier.

    Google Scholar 

  • Card, D. (2001). Estimating the return to schooling: Progress on some persistent econometric problems. Econometrica, 69(5), 1127–1160.

    Google Scholar 

  • Card, D., & Krueger, A. B. (1992). Does school quality matter? Returns to education and the characteristics of public schools in the United States. Journal of Political Economy, 100(1), 1–40.

    Google Scholar 

  • Carneiro, P., & Heckman, J. J. (2002). Evidence on credit constraints in post-secondary schooling. Economic Journal, 112, 705–734.

    Google Scholar 

  • Carneiro, P., & Heckman, J. J. (2003). Human capital policy. In J. Heckman & A. Krueger (Eds.), Inequality in America: What role for human capital policies? (pp. 77–239). Cambridge, MA: MIT Press.

    Google Scholar 

  • Carneiro, P., Hansen, K. T., & Heckman, J. J. (2003). Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. International Economic Review, 44(2), 361–422.

    Google Scholar 

  • Carruthers, B. G. (2005). The sociology of money and credit. In N. Smelser and R. Swedberg (Eds.), The handbook of economic sociology (pp. 355–378). New York: Russell Sage Foundation.

    Google Scholar 

  • Carruthers, B. G., & Babb, S. (1996). The color of money and the nature of value: Greenbacks and gold in postbellum America. American Journal of Sociology, 101, 1556–1591.

    Google Scholar 

  • Cellini, S. R. (2008). Causal inference and omitted variable bias in financial aid research: Assessing solutions. Review of Higher Education, 31(3), 329.

    Google Scholar 

  • Chen, R. (2008). Financial aid and student dropout in higher education: A heterogeneous research approach. Higher education: Handbook of theory and research, Vol. 23

    Google Scholar 

  • Choy, S. P. (2004). Findings from the condition of education 2004: Paying for college: Changes between 1990 and 2000 for full-time dependent undergraduates (NCES 2004–075). Washington, DC: National Center for Education Statistics, Institute of Education Sciences, US Departmentof Education.

    Google Scholar 

  • Christian, M. (2007). Liquidity constraints and the cyclicality of college enrollment in the United States. Oxford Economic Papers, 59, 141–169.

    Google Scholar 

  • Christie, H., Munro, M., & Rettig, H. (2001). Making ends meet: Student incomes and debt. Studies in Higher Education, 26(3), 363–383.

    Google Scholar 

  • Clydesdale, T. (2007). The first year out: Understanding American teens after high school. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Cohn, E., & Geske, T. G. (1992). Private nonmonetary returns to investment in higher education. In W. Becker & D. Lewis (Eds.), The economics of American higher education (pp. 173–195). Boston, MA: Kluwer.

    Google Scholar 

  • Cunha, F., & Heckman, J. J. (2007a). The technology of skill formation. American Economic Review, 97(2), 31–47.

    Google Scholar 

  • Cunha, F., & Heckman, J. J. (2007b). Identifying and estimating the distributions of ex post and ex ante returns to schooling. Labour Economics, 14, 870–893.

    Google Scholar 

  • Cunha, F., Heckman, J., & Navarro, S. (2005). Separating uncertainty from heterogeneity in life cycle earnings. Oxford Economic Papers, 57, 191–261.

    Google Scholar 

  • Cunha, F., Heckman, J. J., Lochner, L., & Masterov, D. V. (2006). Interpreting the evidence on life cycle skill formation. In E. Hanushek & F. Welch (Eds.), Handbook of the economics of education, Vol. 1 (pp. 697–812). Amsterdam: Elsevier.

    Google Scholar 

  • Currie, J. (2001). Early childhood education programs. Journal of Economic Perspectives, 15(2), 213–238.

    CrossRef  Google Scholar 

  • Currie, J., & Thomas, D. (1995). Does Head Start make a difference. American Economic Review, 85(3), 341–364.

    Google Scholar 

  • Currie, J., & Thomas, D. (2000). School quality and the longer-term effects of Head Start. Journal of Human Resources, 35(4), 755–774.

    Google Scholar 

  • Curs, B., & Singell, L. (2002). An analysis of the application and enrollment processes for in-state and out-of-state students at a large public university. Economics of Education Review, 21, 111–124.

    Google Scholar 

  • Davies, E., & Lea, S. E. G. (1995). Student attitudes to student debt. Journal of Economic Psychology, 16, 663–679.

    Google Scholar 

  • DesJardins, S. L., & Toutkoushian, R. (2006). Are students really rational? The development of rational thought and its application to student choice. Higher education: Handbook of theory and research, Vol. 20.

    Google Scholar 

  • DesJardins, S. L., Ahlburg, D. A., & McCall, B. P. (2002). Simulating the longitudinal effects of changes in financial aid on student departure from college. Journal of Human Resources, 37(3), 653–679.

    Google Scholar 

  • DesJardins, S. L., Ahlburg, D. A., & McCall, B. P. (2006). An integrated model of application, admission, enrollment, and financial aid. Journal of Higher Education, 77(3), 381–429.

    Google Scholar 

  • Dominitz, J., & Manski, C. F. (1996). Eliciting student expectations of the returns to schooling. Journal of Human Resources, 31(1), 1–26.

    Google Scholar 

  • Dowd, A. (2008). Dynamic interactions and intersubjectivity: Challenges to causal modeling in studies of college student debt. Review of Educational Research, 78(2), 232–259.

    Google Scholar 

  • Dynarski, S. (2002). The behavioral and distributional implications of subsidies for college. American Economic Review, 92 (2), 279–285.

    Google Scholar 

  • Dynarski, S. (2003). Does aid matter? Measuring the effect of student aid on college attendance and completion. American Economic Review, 93(1), 279–288.

    Google Scholar 

  • Dynarski, S. (2005). Building the stock of college-educated labor (NBER Working Paper no. 11604). Cambridge, MA: National Bureau of Economic Research.

    Google Scholar 

  • Dynarski, S. M., & Scott-Clayton, J. E. (2006). The cost of complexity in federal student aid: Lessons from optimal tax theory and behavioral economics. National Tax Journal, 59(2), 319–356.

    Google Scholar 

  • Ellwood, D., & Kane, T. J. (2000). Who is getting a college education: Family background and the growing gaps in enrollment. In S. Danziger & J. Waldfogel (Eds.), Securing the future: Investing in children from birth to college (pp. 283–324). New York: Russell Sage Foundation.

    Google Scholar 

  • Feldman, D., & Doerpinghaus, H. (1992). Patterns of part-time employment. Journal of Vocational Behavior, 41, 282–294.

    Google Scholar 

  • Freeman, R. (1976). The overeducated American. New York: Academic.

    Google Scholar 

  • Gamoran, A., Porter, A. C., Smithson, J., & White, P. A. (1997). Upgrading high school mathematics instruction: Improving learning opportunities for low-achieving, low-income youth. Educational Evaluation and Policy Analysis, 19(4), 325–338.

    Google Scholar 

  • Garces, E., Thomas, D., & Currie, J. (2002). Longer-term effects of Head Start. American Economic Review, 92(4), 999–1012.

    Google Scholar 

  • Ghez, G., & Becker, G. S. (1975). The allocation of time and goods over the life cycle. New York: Columbia University Press.

    Google Scholar 

  • Goldrick-Rab, S. (with D. F. Carter and R. W. Wagner). (2007). What higher education has to say about the transition to college. Teachers College Record, 109(10 2444–2481).

    Google Scholar 

  • Goldrick-Rab, S., and Roksa, J. (2008). A federal agenda for promoting student success and degree completion. Washington, DC: Center for American Progress.

    Google Scholar 

  • Goldscheider, F. K., & Goldscheider, C. (1994). Leaving and returning home in 20th century America. Population Bulletin, 48, 1–35.

    Google Scholar 

  • Griliches, Z. (1977). Estimating the returns to schooling: Some econometric problems. Econometrica, 45(1), 1–22.

    Google Scholar 

  • Grodsky, E., & Jones, M. (2006). Real and imagined barriers to college entry: Perceptions of cost. Social Science Research, 36, 745–766.

    Google Scholar 

  • Grossman, M. (2006). Education and nonmarket outcomes. In E. Hanushek & F. Welch (Eds.), Handbook of the economics of education, Vol. 1 (pp. 577–633). Amsterdam: Elsevier.

    Google Scholar 

  • Hahn, A., Leavitt, T., & Aaron, P. (1994). Evaluation of Quantum Opportunities Program: Did the program work? Wlatham, MA: Brandeis University.

    Google Scholar 

  • Hansen, W. L. (1983). Impact of student aid on access. In J. Froomkin (Ed.), The crisis in higher education. New York: Academy of Political Science.

    Google Scholar 

  • Hansen, W. L., & Weisbrod, B. A. (1969). The distribution of costs and direct benefits of public higher education: The case of California. Journal of Human Resources, 4(2), 176–191.

    Google Scholar 

  • Harmon, C., Oosterbeek, H., & Walker, I. (2003). The returns to education: Microeconomics. Journal of Economic Surveys, 17(2), 115–155. Harris, D. (forthcoming-a). Toward policy-relevant benchmarks for interpreting effects sizes: Combining effects with costs. Educational Evaluation and Policy Analysis. Harris, D. (forthcoming-b). How do school peers influence student educational outcomes? Theory and evidence from economics and other social sciences. Teachers College Record.

    Google Scholar 

  • Haskins, R. (2008). Education and economic mobility. In J. Isaacs, I. Sawhill, & R. Haskins (Eds.), Getting ahead or losing ground: Economic mobility in America. Washington, DC: The Brookings Institution.

    Google Scholar 

  • Haveman, R. H., & Smeeding, T. (2006). The role of education in social mobility. Future of Children, 16(2), 125–150.

    Google Scholar 

  • Haveman, R. H., & Wilson, K. (2007). Access, matriculation, and graduation. Chapter 2. In S. Dickert-Conlin & R. Rubenstein (Eds.), Economic inequality and higher education. New York: Russell Sage Foundation.

    Google Scholar 

  • Haveman, R. H., & Wolfe, B. L. (1984). Schooling and economic well-being: The role of nonmar-ket effects. Journal of Human Resources, 19(3), 377–407.

    Google Scholar 

  • Hayford, Sarah, & Furstenberg, Frank. “Is 30 the New 20? Trends in Age Distribution of Problem Behaviors in Young Adulthood” Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA, Aug 12, 2005 <Not Available>. 2008-12-12 <http://www.allacademic.com/meta/p22229_index.html>

  • Hearn, J. C., & Longanecker, D. (1985). Enrollment effects of alternative postsecondary pricing policies. Journal of Higher Education, 56(5), 485–508.

    Google Scholar 

  • Heckman, J., Layne-Farrar, A., & Todd, P. (1996). Human capital pricing equations with an application to estimating the effect of schooling quality on earnings. Review of Economics and Statistics, 78(4), 562–610.

    Google Scholar 

  • Heckman, J. J. (1976). A life-cycle model of earnings, learning, and consumption. Journal of Political Economy, 84(4), S11–S44.

    Google Scholar 

  • Heckman, J. J., Lochner, L. J., & Todd, P. E. (2006). Earnings functions, rates of return, and treatment effects. In E. Hanushek & F. Welch (Eds.), Handbook of the economics of education, Vol. 1 (pp. 307–458), Amsterdam: Elsevier.

    Google Scholar 

  • Heckman, J. J., Lochner, L. J., & Todd, P. E. (2008). Earnings functions and rates of return. Journal of Human Capital, 2(1), 1–31.

    Google Scholar 

  • Heller, D. E. (1997). Student price response in higher education: An update to Leslie and Brinkman. Journal of Higher Education, 68(6), 624–659.

    Google Scholar 

  • Heller, D. E. (1998). A comparison of the tuition price and financial aid responsiveness offirst-time enrollees and continuing college students (Institute for Higher Education Law and Governance Monograph Series, #98–2). Houston, TX: University of Houston Law Center.

    Google Scholar 

  • Heller, D. E. (1999). Racial equity in college participation: African American students in the United States. Review of African American Education, 1(1), 5–29.

    Google Scholar 

  • Heller, D. E. (2004). NCES research on college participation: A critical analysis. In C. Teddlie and E. A. Kemper (Series Eds.) and E. P. St. John (Vol. Ed.), Readings on equal education, Vol. 19. Public policy and college access: Investigating the federal and state roles in equalizing postsecondary opportunity. New York: AMS Press.

    Google Scholar 

  • Heller, D. E. (2006). Merit aid and college access. Madison, WI: Wisconsin Center for the Advancement of Postsecondary Education.

    Google Scholar 

  • Herzog, S. (2008). Estimating the influence of financial aid on student retention: A discrete-choice propensity score-matching model (Education Working Paper Archive). Reno, NV: University of Nevada, Reno.

    Google Scholar 

  • Horn, L., & Berger, R. (2004). College persistence on the rise? Changes in 5-year degree completion and postsecondary persistence rates between 1994 and 2000 (NCES 2005–156). US Department of Education, National Center for Education Statistics. Washington, DC: US Government Printing Office.

    Google Scholar 

  • Hossler, D., Schmit, J., & Vesper, N. (1999). Going to college: How social, economic, and educational factors influence the decisions students make. Baltimore, MD: Johns Hopkins Press.

    Google Scholar 

  • Hout, M. (1996). The politics of mobility. In A. Kerckhoff (Ed.), Generating social stratification: Toward a new research agenda. Boulder, CO: Westview Press.

    Google Scholar 

  • Hryshko, D., Luengo-Prado, M., & Sorensen, B. (2007). Childhood determinants of risk aversion: The long shadow of compulsory education. Unpublished Manuscript.

    Google Scholar 

  • Hu, S., & St. John, E. P. (2001). Student persistence in a public higher education system: Understanding racial and ethnic differences. The Journal of Higher Education, 72(3), 265–286.

    Google Scholar 

  • Ikenberry, S. O., & Hartle, T. W. (1998). Too little knowledge is a dangerous thing: What the public thinks and knows about paying for college. Washington, DC: American Council on Education.

    Google Scholar 

  • Iwai, S. A., & Churchill, W. D. (1982). College attrition and the financial support systems of students. Research in Higher Education, 17(2), 105–113.

    Google Scholar 

  • Jensen, E. L. (1981). Student financial aid and persistence in college. Journal of Higher Education, 52, 280–294.

    Google Scholar 

  • Jensen, E. L. (1984). Student financial aid and degree attainment. Research in Higher Education, 20(l), 117–127.

    Google Scholar 

  • Johnson, M. K. (2001a). Change in job values during the transition to adulthood. Work and Occupations, 28, 315–345.

    Google Scholar 

  • Johnson, M. K. (2001b). Job values in the young adult transition: Stability and change with age. Social Psychology Quarterly, 64, 297–317.

    Google Scholar 

  • Johnson, M. K. (2002). Social origins, adolescent experiences, and work value trajectories during the transition to adulthood. Social Forces, 80, 1307–1341.

    Google Scholar 

  • Johnson, M. K., & Elder, G. E. (2002). Educational pathways and work value trajectories. Sociological Perspectives, 45, 113–138.

    Google Scholar 

  • Johnson, A. (1999). Sponsor-A-Scholar: Long-term impacts of a youth mentoring program on student performance. Princeton, NY: Mathematica Policy Research.

    Google Scholar 

  • Kahne, J., & Bailey, K. (1999). The role of social capital in youth development: The case of ‘I Have a Dream’ programs. Educational Evaluation and Policy Analysis, 21(3), 321–343.

    Google Scholar 

  • Kaltenbaugh, L. S., St. John, E. P., & Starkey, J. B. (1999). What difference does tuition make? An analysis of ethnic differences in persistence. Journal of Student Financial Aid, 29(2), 21–31.

    Google Scholar 

  • Kane, T. J. (1994). College attendance by blacks since 1970: The role of college cost, family background and the returns to education. Journal of Political Economy, 102(5), 878–911.

    Google Scholar 

  • Kane, T. (2001a). College going and inequality: A literature review Russell Sage Foundation working paper. Accessed August 21, 2008 from http://www.russellsage.org/programs/main/ inequality/050516.322671/.

  • Kane, T. (2001b). Assessing the American financial aid system: What we know, what we need to know. In M. Devlin (Ed.), Forum futures 2001: Exploring the future of higher education (pp. 63–66). Cambridge, MA: Forum for the Future of Higher Education, 2001. Retrieved June 30, 2008 from http://net.educause.edu/ir/library/pdf/ffp0114s.pdf

    Google Scholar 

  • Kane, T. (2004). Evaluating the impact of the D.C. tuition assistance grant program. National Bureau of Economic Research Working Paper No. 10658.

    Google Scholar 

  • Karoly, L. A., Greenwood, P. W., Everingham, S. S., Houbé, J., Kilburn, M. R., Rydell, C. P., et al. (1998). Investing in our children: What we know and don't know about the costs and benefits of early childhood interventions. Santa Monica, CA: RAND.

    Google Scholar 

  • Killingsworth, M. R. (1983). Labor Supply. Cambridge: Cambridge University Press.

    Google Scholar 

  • Killingsworth, M. R., & Heckman, J. J. (1986). Female labor supply: A survey. In O. Ashenfelter & R. Layard (Eds.), Handbook of labor economics, Vol. 1. Amsterdam: Elsevier.

    Google Scholar 

  • Kim, D. (2004). The effect of financial aid on students’ college choice: Differences by racial groups. Research in Higher Education, 45(1), 43–70.

    Google Scholar 

  • King, J. (2002). Crucial choices: How students' financial decisions affect their academic success. Washington, DC: American Council on Education.

    Google Scholar 

  • Kurlaender, M., Mehta, J., Dynarski, S., Jencks, C., Kane, T., & Scott-Clayton, J. (2007). Strategies for increasing college completion: An experimental approach. Cambridge, MA: New Vision.

    Google Scholar 

  • Landy, F., & Conte, J. (2007). Work in the twenty-first century: An introduction to industrial and organizational psychology. Malden, MA: Blackwell.

    Google Scholar 

  • Lawrence, E. C. (1991). Poverty and the rate of time preference: Evidence from panel data. Journal of Political Economy, 99, 54–77.

    Google Scholar 

  • Lattimore, C. B., Mihalic, S. F., Grotpeter, J. K., & Taggart, R. (1998). Blueprints for violence prevention: The Quantum Opportunities Program. Boulder, CO: Institute of Behavioral Science.

    Google Scholar 

  • Lee, V. E., & Loeb, S. (1995). Where do Head Start attendees end up? One reason why preschool effects fade out. Educational Evaluation and Policy Analysis, 17(1), 62–82.

    Google Scholar 

  • Leslie, L. L., & Brinkman, P. T. (1987). Student price response in higher education: The student demand studies. Journal of Higher Education, 58(2), 181–204.

    Google Scholar 

  • Levine, A., & Nidiffer, J. (1996). Beating the odds: How the poor get to college. San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • Light, A., & Strayer, W. (2000). Determinants of college completion: School quality or student ability? Journal of Human Resources, 35(2), 299–332.

    Google Scholar 

  • Lisenmeier, D., Rosen, H., & Rouse, C. (2006). Financial aid packages and college enrollment decisions: An econometric case study. The Review of Economics and Statistics, 88(1), 126–145.

    Google Scholar 

  • Lobel, S. (1991). Allocation of investment in work and family roles: Alternative theories and implications for research.Academy of Management Review, 16(3), 507–521.

    Google Scholar 

  • Long, B. T. (2008). What is known about the impact of financial aid? Implications for policy. National Center for Postsecondary Research(NCPR) Working Paper. Accessed August 22, 2008 at http://www.postsecondaryresearch.org/i/a/document/6963_LongFinAid.pdf

  • Lorence, J., & Mortimer, J. (1985). Job involvement through the life course. American Sociological Review, 50, 618–638.

    Google Scholar 

  • Lucas, S. (2001). Effectively maintained inequality: Education transitions, track mobility, and social background effects. American Journal of Sociology, 106(6), 1642–1690.

    Google Scholar 

  • Manski, C. (1993). Adolescent econometricians: How do youth infer the returns to schooling? In C. Clotfelter and M. Rothschild, Studies of supply and demand in higher education (pp. 43–57). Chicago, IL: University of Chicago Press.

    Google Scholar 

  • McDonough, P., & Calderone, S. (2006). The meaning of money: Perceptual differences between college counselors and low-income families about college costs and financial aid. American Behavioral Scientist. 49 (12): 1703–1718.

    Google Scholar 

  • McMillion, R. (2005). The role of work and loans in paying for an undergraduate Education: Observations from the 2003–2004 National Postsecondary Student Aid Study. TG Research and Analytic Services. Retrieved July 2, 2008 from http://www.tgslc.org/pdf/HEA_Work_ Loans.pdf

  • Metcalf, H. (2005). Paying for university: The impact of increasing costs on student employment, debt, and satisfaction. National Institute Economic Review, 191, 106–117.

    Google Scholar 

  • Mortimer, J. (2003). Working and growing up in America. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • National Research Council (1999). The changing nature of work: Implication for occupational analysis. Washington, DC.

    Google Scholar 

  • Nora, A., & Cabrera, A. F. (1996). The role of perceptions of prejudice and discrimination on the adjustment of minority students to college. Journal of Higher Education, 67(2), 119–148.

    Google Scholar 

  • Nora, A., & Rendon, L. (1990). Differences in mathematics and science preparation and participation among of minority students to college. Journal of Higher Education, 67(2), 119–148.

    Google Scholar 

  • Nora, A., Cabrera, A. F., Hagedorn, L., & Pascarella, E. T. (1996). Differential impacts of academic and social experiences on college-related behavioral outcomes across different ethnic and gender groups at four-year institutions. Research in Higher Education, 37(4), 427–452.

    Google Scholar 

  • Nora, A., Barlow, L., & Crisp, G. (2006). Examining the tangible and psychosocial benefits of financial aid with student access, engagement, and degree attainment. American Behavioral Scientist, 49(12), 1636–1651.

    Google Scholar 

  • Odean, T. (1998). Are investors reluctant to realize their losses? Journal of Finance, LIII, 1775–1798.

    Google Scholar 

  • Oden, S., Schweinhart, L. J., Weikart, D. P., Marcus, S. M., & Xie, Y. (2000). Into adulthood: A study of the effects of Head Start. Ypsilanti, MI: High/Scope Press.

    Google Scholar 

  • Osgood, D. W., Foster, E. M., Flanagan, C., & Ruth, G. (2004). Why focus on the transition to adulthood for vulnerable populations? In D. W. Osgood, E. M. Foster, C. Flanagan, & G. R. Ruth (Eds.), On your own without a net: The transition to adulthood for vulnerable populations. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Osterman, P. (2008). College for all? The labor market for college educated Workers. Washington, DC: Center for American Progress.

    Google Scholar 

  • Pascarella, E. T., & Terenzini, P. T. (2005). How college affects students: Vol. 2. A third decade of research. San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • Paulsen, M. B., & St. John, E. P. (1997). The financial nexus between college choice and persistence. In R. A. Voorhees (Ed.), Researching student aid: Creating an action agenda (pp. 65–82). San Francisco, CA: Jossey-Bass.

    Google Scholar 

  • Paulsen, M. B., & St. John, E. P. (2002). Social class and college costs: Examining the financial nexus between college choice and persistence. Journal of Higher Education, 73(3), 189–236.

    Google Scholar 

  • Perna, L. W. (1998). The contribution of financial aid to undergraduate persistence. Journal of Student Financial Aid, 28(3), 25–40.

    Google Scholar 

  • Perna, L. (2006). Understanding the relationship between information about college prices and financial aid and students’ college-related behaviors. American Behavioral Scientist, 49(12), 1620–1635.

    Google Scholar 

  • Psacharopoulos, G., & Patrinos, H. A. (2004). Human capital and rates of return. In G. Johnes & J. Johnes (Eds.), International handbook on the economics of education. Cheltenham: Elgar.

    Google Scholar 

  • Raftery, A., & Hout, M. (1993). Maximally maintained inequality: Expansion, reform, and opportunity in Irish education, 1921–75. Sociology of Education, 66(1), 41–62.

    Google Scholar 

  • Rimer, S. 2008. Gates Grants Aim to Help Low-Income Students Finish College. The New York Times. p. A21. December 9.

    Google Scholar 

  • Roderick, M., Nagaoka, J., & Allensworth, E. (with Coca, V., Correa, M., and Stoker, G.). (2006). From high school to the future: A first look at Chicago public school graduates’ college enrollment, college preparation, and graduation from four-year colleges. Chicago, IL: Consortium on Chicago School Research.

    Google Scholar 

  • Rogers, K. (2006). Exploring financial aid knowledge and the impact of financial aid awards among adult learners in community college. Presentation to the Student Financial Aid Research Network. Providence, RI.

    Google Scholar 

  • Rogers, K. (2008). Running on empty: Financial aid awareness among low-income adult learners. Washington, DC: National Community College Symposium. Department of Education.

    Google Scholar 

  • Rouse, C. E. (2004). Low-income students and college attendance: An exploration of income expectations. Social Science Quarterly, 85(5), 1299–1317.

    Google Scholar 

  • Rumberger, R. (1980). The economic decline of college graduates: Fact or fallacy? The Journal of Human Resources, 15(1), 99–112.

    Google Scholar 

  • Ryder, H. E., Stafford, F. P., & Stephan, P. (1976). Labor, leisure and training over the life cycle. International Economic Review, 17(3), 651–674.

    Google Scholar 

  • Schirm, A., & Rodriguez-Planas, N. (2004). The Quantum Opportunity Program demonstration: Initial post-intervention impacts. Washington, DC: US Department of Labor.

    Google Scholar 

  • Schweinhart, L. J., Barnes, H. V., Weikart, D. P., Barnett, W. S., & Epstein, A. S. (1993). Significant benefits: The High/Scope Perry Preschool study through age 27. Ypsilanti, MI: High/Scope Press.

    Google Scholar 

  • Seftor, N., & Turner, S. (2002). Back to school: Federal student aid policy and adult college enrollment. Journal of Human Resources, 37, 336–352.

    Google Scholar 

  • Shadish, W. J., Cook, T., & Campbell, D. (2002). Experimental and quasiexperimental designs for generalized causal inference. Boston, MA: Houghton Mifflin, 26, 667–692.

    Google Scholar 

  • Shanahan, M. J. (2000). Pathways to adulthood in changing societies: Variability and mechanisms in life course perspective. Annual Review of Sociology, 667–692.

    Google Scholar 

  • Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. Journal of Finance, XI, 777–790.

    Google Scholar 

  • Singell, D. L. (2004). Come and stay a while: Does financial aid effect retention conditioned on enrollment at a large public university? Economics of Education Review, 23(5), 459–471.

    Google Scholar 

  • Singell, D. L., & Stater, M. (2006). Going, going, gone: The effects of aid policies on graduation at three large public institutions. Policy Sciences, 39(4), 379–403.

    Google Scholar 

  • Smith, H. (1986). Overeducation and underemployment: An agnostic review. Sociology of Education, 59, 85–99.

    Google Scholar 

  • Somers, P. (1993). Are mondo scholarships effective? Journal of Student Financial Aid, 23(2), 37–38.

    Google Scholar 

  • St. John, E. (2004). Federal and state Roles in Equalizing Postsecondary Opportunity. Readings in Equal Education. v19. AMS press.

    Google Scholar 

  • St. John, E. (2006). Contending with financial inequality. American Behavioral Scientist, 49(12), 1604–1619.

    Google Scholar 

  • St. John, E., Andrieu, S., Oescher, J., & Starkey, J. (1994). The influence of student aid on within-year persistence by traditional college-age students at four-year colleges. Research in Higher Education, 35, 455–480.

    Google Scholar 

  • St. John, E., Cabrera, A., Nora, A., & Asker, E. (2000). Economic influences on persistence reconsidered: How can finance research inform the reconceptualization of persistence models?” In J. M. Braxton (Ed.), Reworking the student departure puzzle: New theory and research on college student retention. Nashville, TN: Vanderbilt University Press.

    Google Scholar 

  • St. John, E., Paulsen, M., & Carter, D. (2005). Diversity, college costs, and postsecondary opportunity: An examination of the financial nexus between college choice and persistence for African Americans and Whites. Journal of Higher Education, 76(5), 545–569.

    Google Scholar 

  • Staff, J., & Mortimer, J. T. (2007). Education and work strategies from adolescence to early adulthood: Consequences for educational attainment. Social Forces, 85, 1169–1194.

    Google Scholar 

  • Stampen, J. O., & Cabrera, A. F. (1988). The targeting and packaging of student aid and its effect on attrition. Economics of Education Review, 7(1), 29–46.

    Google Scholar 

  • Stinebrickner, T., & Stinebrickner, R. (2003). Understanding educational outcomes of students from low-income families: Evidence from a liberal arts college with a full tuition subsidy program. Journal of Human Resources, 38(3), 591–617.

    Google Scholar 

  • Stinebrickner, T., & Stinebrickner, R. (2007). The effect of credit constraints on the college dropout decision: A direct approach using a new panel study. NBER.

    Google Scholar 

  • Stinebrickner, R., & Stinebrickner, T. (2004). Time-use and college outcomes. Journal of Econometrics, 121(1–2), 243–269.

    Google Scholar 

  • Thaler, R. (1981). Some empirical evidence on dynamic inconsistency. Economics Letters, 81, 201–207.

    Google Scholar 

  • Tierney, W. (1992). An anthropological analysis of student participation in college. Journal of Higher Education, 63(6), 603–618.

    Google Scholar 

  • Tierney, W. (1999). Models of minority college-going and retention: Cultural integrity versus cultural suicide. Journal of Negro Education, 68(1), 80–92.

    Google Scholar 

  • Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.).Chicago, IL: University of Chicago Press. (Originally published 1987.)

    Google Scholar 

  • Titus, M. A. (2006). No college student left behind: The influence of financial aspects of a state's higher education policy on college completion. The Review of Higher Education, 29(3), 293–317.

    Google Scholar 

  • Titus, M. A. (2007). Detecting selection bias, using propensity score matching, and estimating treatment effects: An application to the private returns to a master's degree. Research in Higher Education, 48(4), 487–521.

    Google Scholar 

  • Trostel, P. A. (2004). Returns to scale in producing human capital from schooling. Oxford Economic Papers, 56(3), 461–484.

    Google Scholar 

  • Trostel, P. A. (2005). Nonlinearity in the rate of return to education. Journal of Applied Economics, 8(1), 191–202.

    Google Scholar 

  • Trostel, P. A., & Walker, I. (2004). Sheepskin effects in work behaviour. Applied Economics, 36(17), 1959–1966.

    Google Scholar 

  • Trostel, P. A., & Walker, I. (2006). Education and work. Education Economics, 14(4), 377–399.

    Google Scholar 

  • Turley, R., & Desmond, M. (2008). Unanticipated educational consequences of a positive parent—child relationship. THEOP paper. http://theop.princeton.edu/reports/wp/Unanticipated%20 Educational%20Consequences%20Turley%20Desmond%20nocodes.pdf

  • Tyler, J., Murnane, R., & Levy, F. (1995). Are more college graduates really taking ‘high school’ jobs? Monthly labor review. December. Washington, DC: Bureau of Labor Statistics.

    Google Scholar 

  • Uchitelle, L. (1990). Surplus of college graduates dims job outlook for others. New York Times, June 18, p. 1.

    Google Scholar 

  • US Department of Education (2007). Digest of education statistics. Washington, DC: Author.

    Google Scholar 

  • Van de Werfhorst, H. G., & Hofstede, S. (2007). Cultural capital or relative risk aversion? Two mechanisms for educational inequality compared. The British Journal of Sociology, 58(3), 391–415.

    Google Scholar 

  • van der Klaauw, W. (2001). Estimating the effect of financial aid offers on college enrollment: A regression-discontinuity approach. International Economic Review, 43, 1249–1287.

    Google Scholar 

  • Voorhees, R. A. (1985). Financial aid and persistence: Do the federal campus-based aid programs make a difference? Journal of Student Financial Aid, 15(l), 21–30.

    Google Scholar 

  • Walpole, M. (2008). Economically and educationally challenged students in higher education. San Francisco, CA: Wiley/Jossey-Bass ASHE Series.

    Google Scholar 

  • Weber, R., & Dawes, R. (2005). Behavioral economics. In N. Smelser and R. Swedberg (Eds.), The handbook of economic sociology (pp. 90–108). New York: Russell Sage Foundation.

    Google Scholar 

  • Weis, L. (1985). Between two worlds: Black students in an urban community college. Boston, MA: Routledge & Kegan Paul.

    Google Scholar 

  • Weiss, Y., & Gronau, R. (1981). Expected interruptions in labour force participation and sex- related differences in earnings growth. Review of Economic Studies, 48(4), 607–619.

    Google Scholar 

  • Wolfe, B., & Haveman, R. (2001). Accounting for the social and non-market benefits of education. In Helliwell (Ed.), The contribution of human and social capital to sustained economic growth and well-being. Vancouver, BC: University of British Columbia Press.

    Google Scholar 

  • Wolfe, B., & Haveman, R. (2003). Social and nonmarket benefits from education in an advanced economy. In Y. Kodrzycki (Ed.), Education in the 21st century: Meeting the challenges of a changing world. Boston, MA: Federal Reserve Bank of Boston.

    Google Scholar 

  • Yelowitz, A. (2007). Young adults leaving the nest: The role of cost-of-living. In S. Danziger and C. Rouse (Eds.), The price of independence: The economics of early adulthood. New York: Russell Sage Foundation.

    Google Scholar 

  • Zelizer, V. (1994). The social meaning of money. New York: Basic Books.

    Google Scholar 

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Goldrick-Rab, S., Harris, D.N., Trostel, P.A. (2009). Why Financial Aid Matters (or Does Not) for College Success: Toward a New Interdisciplinary Perspective. In: Smart, J.C. (eds) Higher Education: Handbook of Theory and Research. Higher Education: Handbook of Theory and Research, vol 24. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9628-0_1

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