NotesFAQContact Us
Collection
Advanced
Search Tips
Peer reviewed Peer reviewed
Direct linkDirect link
ERIC Number: EJ829978
Record Type: Journal
Publication Date: 2009-Mar
Pages: 28
Abstractor: As Provided
Reference Count: 61
ISBN: N/A
ISSN: ISSN-0964-5292
Using Classification Trees to Predict Alumni Giving for Higher Education
Weerts, David J.; Ronca, Justin M.
Education Economics, v17 n1 p95-122 Mar 2009
As the relative level of public support for higher education declines, colleges and universities aim to maximize alumni-giving to keep their programs competitive. Anchored in a utility maximization framework, this study employs the classification and regression tree methodology to examine characteristics of alumni donors and non-donors at a research-extensive university in the United States. The study suggests that levels of giving relates to household income, religious background, degree and venue in which the alum keeps in touch with the campus, alumni beliefs about institutional needs, and the number of institutions competing for alumni gift dollars. Implications for future research and practice are discussed. (Contains 8 tables, 2 figures, and 1 note.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Wisconsin