Students choosing colleges: Understanding the matriculation decision at a highly selective private institution

► Little empirical evidence exists on the factors affecting the matriculation decision of students admitted to highly selective colleges and universities. ► We provide empirical evidence on the factors affecting matriculation to Williams College, on of the nations most highly selective colleges. ► W...

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Bibliographic Details
Published inEconomics of education review Vol. 31; no. 1; pp. 1 - 8
Main Authors Nurnberg, Peter, Schapiro, Morton, Zimmerman, David
Format Journal Article
LanguageEnglish
Published Elsevier India Pvt Ltd 01.02.2012
Elsevier
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Summary:► Little empirical evidence exists on the factors affecting the matriculation decision of students admitted to highly selective colleges and universities. ► We provide empirical evidence on the factors affecting matriculation to Williams College, on of the nations most highly selective colleges. ► We find that—conditional on the student applying to and being accepted by Williams—applicant quality as measured by standardized tests, high school GPA and the like, the net price a particular student faces (the sticker price minus institutional financial aid), the applicant's race and geographic origin, plus the student's artistic, athletic and academic interests, are strong predictors of whether or not the student will matriculate. This paper provides an econometric analysis of the matriculation decisions made by students accepted to Williams College, one of the nation's most highly selective colleges and universities. Using data for the Williams classes of 2008 through 2012 to estimate a yield model, we find that—conditional on the student applying to and being accepted by Williams—applicant quality as measured by standardized tests, high school GPA and the like, the net price a particular student faces (the sticker price minus institutional financial aid), the applicant's race and geographic origin, plus the student's artistic, athletic and academic interests, are strong predictors of whether or not the student will matriculate.
ISSN:0272-7757
1873-7382
DOI:10.1016/j.econedurev.2011.07.005