The Cost of Crafting a Class: (In)Efficient Financial Aid Allocation at Two Private Colleges

Autor/inn/en	Martin, Robert E.; Campbell, Randy; Rizzo, Michael J.
Institution	Cornell Higher Education Research Institute (CHERI)
Titel	The Cost of Crafting a Class: (In)Efficient Financial Aid Allocation at Two Private Colleges
Quelle	(2007), (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Higher Education; Educational Finance; Private Colleges; Fiscal Capacity; Probability; Enrollment Management; Tuition; Income; Need Analysis (Student Financial Aid); Bias; Resource Allocation; Computation; Models; Financial Needs; College Bound Students; Cost Effectiveness; Administrator Behavior; Efficiency + Suchen Sie Ihr Suchwort? Hochschulbildung; Hochschulsystem; Hochschulwesen; Bildungsfonds; Privathochschule; Finanzmittel; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Unterweisung; Unterricht; Einkommen; Demand analysis; Bedarfsanalyse; Ressourcenallokation; Analogiemodell; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken; Effectiveness; Effektivität; Wirkungsgrad
Abstract	In order to meet two key objectives, enrollment managers at colleges and universities make extensive use of single equation probability models. The first objective is to generate sufficient financial resources to educate the students enrolled. The more dependent the institution is on tuition revenues, the more important is this objective. The second objective is to distribute and monitor student subsidies according to need, merit, and the institution's diversity goals. This paper reviews the existing theoretical literature on the allocation of financial aid and proposes a more complete method of analyzing the matriculation process. Using proprietary data from two representative small colleges, we demonstrate that single equation estimates of enrollment probabilities can suffer from an endogeneity bias. We propose a simultaneous probit-tobit system that corrects for this bias. Our two major findings are: (1) contrary to the predictions of the theoretical model, institutions of higher education make larger financial aid awards to students with high enrollment propensities and (2) traditional single equation models therefore systematically overstate the true impact of financial aid on enrollment probabilities. Variable Descriptions are appended. (Contains 6 tables and 22 footnotes.) (As Provided).
Anmerkungen	Cornell Higher Education Research Institute. ILR-Cornell University 273 Ives Hall, Ithaca, NY 14853. Tel: 607-255-4424; Web site: http://www.ilr.cornell.edu/cheri
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10