Using classification trees to predict alumni giving for higher education
David Weerts and
Justin Ronca
Education Economics, 2009, vol. 17, issue 1, 95-122
Abstract:
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.
Keywords: alumni; philanthrophy; methodology (search for similar items in EconPapers)
Date: 2009
References: View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.tandfonline.com/10.1080/09645290801976985 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:edecon:v:17:y:2009:i:1:p:95-122
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CEDE20
DOI: 10.1080/09645290801976985
Access Statistics for this article
Education Economics is currently edited by Caren Wareing and Steve Bradley
More articles in Education Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().