Predicting Law School Enrollment: The Strategic Use of Financial Aid to Craft a Class

27 Pages Posted: 15 Oct 2017  

Heeyun Kim

University of Michigan at Ann Arbor, School of Education, Students

Meghan Oster

University of Michigan at Ann Arbor, School of Education, Students

Natsumi Ueda

University of Michigan at Ann Arbor, School of Education, Students

Stephen DesJardins

University of Michigan at Ann Arbor - School of Education

Multiple version iconThere are 2 versions of this paper

Date Written: April 30, 2017

Abstract

In this study, we explore what factors predict student decisions to enroll at law schools and how the probability of enrollment varies across students with various profiles and conditions. To find the predictors of enrollment and differences in the probability of enrollment across groups, we employ a logistic regression model using the institutional data obtained from one of the top-ranked law schools in the nation. After estimating the logistic regression model, the probabilities of enrollment are calculated for students with specific profiles and conditions based on the coefficients generated by the logistic regression analysis. The findings reveal many factors that are associated with the probability of enrollment at this law school. Particularly, students with higher academic qualifications, underrepresented minority status, the most selective undergraduate school, STEM background, and previous applicant status have a lower probability of enrollment compared to their respective counterparts. Simulation analysis findings show that the increase in financial aid does not increase the probability of enrollment for URM students and that out-of-state and international students are more sensitive to financial aid increases than in-state students. Admissions and enrollment management offices at individual institutions could apply this exercise with their own data to understand who is more or less likely to enroll and how their students with various profiles respond differently to various financial aid offers and recruitment efforts. It is our hope that this article is used as an example to other law schools to leverage their institutional data to create enrollment models that will help make more effective admission decision making.

Keywords: Legal Education, Law School, Admission, Financial Aid

Suggested Citation

Kim, Heeyun and Oster, Meghan and Ueda, Natsumi and DesJardins, Stephen, Predicting Law School Enrollment: The Strategic Use of Financial Aid to Craft a Class (April 30, 2017). Available at SSRN: https://ssrn.com/abstract=3032784 or http://dx.doi.org/10.2139/ssrn.3032784

Heeyun Kim (Contact Author)

University of Michigan at Ann Arbor, School of Education, Students ( email )

610 East University Avenue
Ann Arbor, MI
United States

Meghan Oster

University of Michigan at Ann Arbor, School of Education, Students ( email )

610 East University Avenue
Ann Arbor, MI
United States

Natsumi Ueda

University of Michigan at Ann Arbor, School of Education, Students ( email )

610 East University Avenue
Ann Arbor, MI
United States

Stephen DesJardins

University of Michigan at Ann Arbor - School of Education ( email )

610 East University Avenue
Ann Arbor, MI 48109-1259
United States

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