The Determinants of Student Success in University: A Generalized Ordered Logit Approach

Philippe Cyrenne and Alan Chan

Departmental Working Papers from The University of Winnipeg, Department of Economics

Abstract: The ability of Universities and Colleges to predict the future success of admitted students continues to be a key concern of higher education officials. Apart from a desire to see a greater number of students have successful academic careers, there is also the fiscal reality of greater tuition revenues providing needed support for university budgets. Using administrative data, this paper introduces a relatively new empirical approach to estimating the determinants of student success in post secondary institutions. Using Ordered Logit and Generalized Ordered Logit estimators, we are able to estimate the role a number of key factors have in influencing student success. An important feature of this approach is that it can be conducted using readily available administrative data. While the results relate to one institution, we feel there are useful lessons to be learned for other institutions facing similar issues.

Pages: 41 pages
Date: 2019-08
New Economics Papers: this item is included in nep-edu
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