Tuition Discounting for Revenue Management

Research in Higher Education

Volumn 53, Issue 3, 2012, Pages 263-281

  Hillman, Nicholas W ^a  

^a UNIVERSITY OF UTAH   (United States)

Author keywords

Enrollment management; GMM; Institutional aid; Revenue generation

Indexed keywords

EID: 84859210065     PISSN: 03610365     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11162-011-9233-4     Document Type: Article

References (63)

1. Allan, R., & Lapovsky, L. (2005, July). Financial aid: Does it matter whether it's funded? Business Officer Magazine.
2. Angrist, J. D. (2006). Instrumental variables methods in experimental criminological research: What, why and how? Journal of Experimental Criminology, 2(1), 23-44.
3. Archibald, R. B., & Feldman, D. H. (2008). Explaining increases in higher education costs. The Journal of Higher Education, 79(3), 268-295.
4. Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277-297.
5. Austin, D. A. (2010). Do lower lender subsidies reduce guaranteed student loan supply? Education Finance and Policy, 5(2), 138-176.
6. Baum, S., & Lapovsky, L. (2006). Tuition discounting: Not just a private practice. New York: The College Board.
7. Baum, S., & Ma, J. (2010). Tuition discounting: Institutional aid patterns at public and private colleges and universities, 2000-01 to 2008-09 (p. 8). New York: The College Board.
8. Baum, C. F., Schaffer, M. E., & Stillman, S. (2003). Instrumental variables and GMM: Estimation and testing. Stata Journal, 3(1), 1-31.
9. Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115-143.
10. Blundell, R., Bond, S., & Windmeijer, F. (2000). Estimation in dynamic panel data models: Improving on the performance of the standard GMM estimator. Advances in Econometrics, 15, 53-92.
11. Bond, S. R. (2002). Dynamic panel data models: A guide to micro data methods and practice. Portuguese Economic Journal, 1(2), 141-162.
12. Bound, J., Jaeger, D. A., & Baker, R. M. (1995). Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. Journal of the American Statistical Association, 90(430), 443-450.
13. Bowen, H. R. (1980). The costs of higher education. San Francisco: Jossey-Bass.
14. Breneman, D., Doti, J., & Lapovsky, L. (2001). Financing private colleges and universities: The role of tuition discounts. In M. B. Paulsen & J. C. Smart (Eds.), The finance of higher education: Theory, research, policy, and practice (pp. 279-461). New York: Algora Publishing.
15. Brewer, D., Gates, S., & Goldman, C. (2002). In pursuit of prestige. Santa Monica: RAND Corporation.
16. Brinkman, P., & Morgan, A. (2010). Financial planning: Strategies and lessons learned. Planning for Higher Education, 38(3), 5-14.
17. Chen, R., & DesJardins, S. L. (2010). Investigating the impact of financial aid on student dropout risks: Racial and ethnic differences. The Journal of Higher Education, 81(2), 179-208.
18. Cheslock, J. J. (2006). Applying economics to institutional research on higher education revenues. New Directions for Institutional Research, 2006(132), 25-41.
19. College Board. (2010). SAT-ACT concordance tables. Retrieved October 14, 2010, from http://professionals. collegeboard. com/data-reports-research/sat/sat-act.
20. Curs, B. R. (2008). The effects of institutional merit-based aid on the enrollment decisions of needy students. Enrollment Management Journal, 2(1), 10-31.
21. Curs, B. R., & Dar, L. (2010). Does state financial aid affect institutional aid? An analysis of the role of state policy on postsecondary institutional pricing strategies. SSRN eLibrary. Retrieved from http://papers. ssrn. com/sol3/papers. cfm?abstract_id=1641489.
22. Curs, B. R., & Singell, L. D. (2010). Aim high or go low? Pricing strategies and enrollment effects when the net price elasticity varies with need and ability. The Journal of Higher Education, 81(4), 515-543.
23. Davis, J. S. (2003). Unintended consequences of tuition discounting. Indianapolis: Lumina Foundation.
24. DesJardins, S. L., & McCall, B. P. (2010). Simulating the effects of financial aid packages on college student stopout, reenrollment spells, and graduation chances. The Review of Higher Education, 33(4), 513-541.
25. Desrochers, D., Lenihan, C., & Wellman, J. (2010). Trends in college spending, 1998-2008 (p. 56). Washington, DC: Delta Project on Postsecondary Education Costs, Productivity, and Accountability.
26. Doyle, W. R. (2010). Changes in institutional aid, 1992-2003: The evolving role of merit aid. Research in Higher Education, 51(8), 789-810.
27. Doyle, W. R., Delaney, J. A., & Naughton, B. A. (2009). Does institutional aid compensate for or comply with state policy? Research in Higher Education, 50(5), 502-523.
28. Duffy, E. A., & Goldberg, I. (1998). Crafting a class: College admissions and financial aid, 1955-1994. Princeton: Princeton University Press.
29. Ehrenberg, R., Zhang, L., & Levin, J. (2006). Crafting a class: The trade-off between merit scholarships and enrolling lower-income students. The Review of Higher Education, 29(2), 195-211.
30. Halaby, C. N. (2004). Panel models in sociological research: Theory into practice. Annual Review of Sociology, 30, 507-544.
31. Heller, D. (2006). State support of higher education: Past, present, and future. In D. M. Priest & E. P. S. John (Eds.), Privatization and public universities (pp. 11-37). Bloomington: Indiana University Press.
32. Hossler, D. (2000). The role of financial aid in enrollment management. New Directions for Student Services, 2000(89), 77-90.
33. Hossler, D. (2004). Refinancing public universities: Student enrollment, incentive-based budgeting, and incremental revenue. In E. P. St. John & M. D. Parsons (Eds.), Public funding of higher education: Changing contexts and new rationales (pp. 145-163). Baltimore: Johns Hopkins University Press.
34. Hossler, D. (2006). Students and families as revenue: The impact on institutional behaviors. In D. M. Priest & E. P. S. John (Eds.), Privatization and public universities (pp. 109-128). Bloomington: Indiana University Press.
35. Hossler, D., Ziskin, M., Gross, J. P., Kim, S., & Cekic, O. (2009). Student aid and its role in encouraging persistence. In C. Smart (Ed.), Higher education: Handbook of theory and research (pp. 389-425). New York: Agathon Press.
36. Johnstone, D. B. (2004). The economics and politics of cost sharing in higher education: Comparative perspectives. Economics of Education Review, 23(4), 403-410.
37. Johnstone, B. D., & Marcucci, P. N. (2010). Financing higher education worldwide. Baltimore: John Hopkins University Press.
38. Kiviet, J. F. (1995). On bias, inconsistency, and efficiency of various estimators in dynamic panel data models 1. Journal of Econometrics, 68(1), 53-78.
39. Lapovsky, L. (2007). Critical endowment policy issues. New Directions for Higher Education, 2007(140), 99-110.
40. Lasher, W., & Sullivan, C. (2005). Follow the money: The changing world of budgeting in higher education. In J. C. Smart (Ed.), Higher education: Handbook of theory and research (Vol. 19, pp. 197-240). Dordrecht: Kluwer Academic Publishers.
41. Martin, R. E. (2004). Tuition discounting without tears. Economics of Education Review, 23(2), 177-189.
42. Martin, R. E. (2005). Cost control college access and competition in higher education. Northhampton: Edward Elgar Publishing.
43. Massa, R. J., & Parker, A. S. (2007). Fixing the net tuition revenue dilemma: The Dickinson College story. New Directions for Higher Education, 140, 87-98.
44. McPherson, M. S., & Schapiro, M. O. (1998). The student aid game: Meeting need and rewarding talent in American higher education. Princeton: Princeton University Press.
45. McPherson, M. S., & Schapiro, M. O. (2006). US higher education finance. In E. Hanushek & F. Welch (Eds.), Handbook of the economics of education (Vol. 2, pp. 1403-1434). Amsterdam: Elsevier Press.
46. Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417-1426.
47. Perna, L. W. (2010). Toward a more complete understanding of the role of financial aid in promoting college enrollment: The importance of context. Higher Education: Handbook of Theory and Research, 25, 129-179.
48. Perna, L., Lundy-Wagner, V., Yee, A., Brill, L., & Tadal, T. (2010). Showing them the money: The role of institutional financial aid policies and communication strategies in attracting low-income students. In A. Kezar (Ed.), Recognizing and serving low-income students in higher education: An examination of institutional policies, practices, and culture. New York: Routledge.
49. Potter, D. A., & Sidar, A. G., Jr. (1978). No-need/merit awards: A survey of their use at four-year public and private colleges and universities. New York: College Entrance Examination Board.
50. Redd, K. E. (2000). Discounting toward disaster: Tuition discounting, college finances, and enrollments of low-income undergraduates. Indianapolis, IN: USA Group Foundation.
51. Reed, M., & Shireman, R. (2008). Time to reexamine institutional cooperation on financial aid (p. 35). Washington, DC: The Institute for College Access and Success.
52. Roodman, D. (2006). How to do xtabond2: An introduction to difference and system GMM in Stata. Washington, DC: Center for Global Development.
53. Roodman, D. (2009). A note on the theme of too many instruments. Oxford Bulletin of Economics and Statistics, 71(1), 135-158.
54. Stock, J. H., & Yogo, M. (2002). Testing for weak instruments in linear IV regression. NBER Working Paper #284.
55. Summers, J. A. (2004). Net tuition revenue generation at private liberal arts colleges. Education Economics, 12(3), 219.
56. Thelin, J. R. (2004). A history of American higher education. Baltimore: The Johns Hopkins University Press.
57. Titus, M. A. (2009). The production of bachelor's degrees and financial aspects of state higher education policy: A dynamic analysis. The Journal of Higher Education, 80(4), 439-468.
58. U. S. Department of Education. (2009). 2007-08 National Postsecondary Student Aid Study (NPSAS: 08): Undergraduate data analysis system. Retrieved October 8, 2010, from http://nces. ed. gov/surveys/npsas/.
59. Weisbrod, B. A., Ballou, J. P., & Asch, E. D. (2008). Mission and money: Understanding the university. Cambridge: Cambridge University Press.
60. Wilkinson, R. (2005). Aiding students, buying students: Financial aid in America. Nashville: Vanderbilt University Press.
61. Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126(1), 25-51.
62. Wooldridge, J. M. (2002). Econometric analysis of cross section and panel data. Cambridge: MIT Press.
63. Zhang, L. (2007). Nonresident enrollment demand in public higher education: An analysis at national, state, and institutional levels. The Review of Higher Education, 31(1), 1-25.