ERIC Number: EJ1369181
Record Type: Journal
Publication Date: 2022
Pages: 29
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0884-9153
EISSN: N/A
Available Date: N/A
Predicting International Student Enrollment by Institutional Aid: A Random and Fixed Effects Approach
Posmik, Daniel C.
Journal of Student Financial Aid, v51 n3 2022
Since the fall semester of 2016, first-time international student enrollment (ISE[subscript ft]) has declined at U.S. colleges and universities. This trend disrupts a steady upwards trajectory of ISE[subscript ft] rates. Previous research has demonstrated that various political, social, and macroeconomic factors influence the number of international students studying in the U.S. Exploiting data from the Common Data Set (CDS), I focus on the role financial aid plays as an enrollment predictor for international undergraduate students. A fixed effects model reveals that financial aid is strongly and significantly predictive of ISE[subscript ft], yielding a 1.8% enrollment increase per 10% aid increase, all else equal. Interestingly, financial aid is only predictive of ISE[subscript ft] if it is awarded in substantial amounts. Extending the work of Bicak and Taylor (2020), I also analyze how the effectiveness of financial aid awards varies within different institutional settings. Random effects regressions reveal that rural, low research, and private universities experience considerable marginal ISE[subscript ft] boosts when awarding aid to international students. The findings of this work are primarily directed at institutional leaders who seek to revitalize their institution's ISE[subscript ft] policy. Moreover, these insights may inform local policymakers who seek to incent ISE[subscript ft].
Descriptors: College Students, Foreign Students, Enrollment Trends, Declining Enrollment, Student Financial Aid, Predictor Variables, Causal Models, Statistical Inference
Center for Economic Education at the University of Louisville. Porter Building, 1905 South 1st Street, Louisville, Ky, 40292. e-mail: jsfa@louisville.edu; Web site: https://ir.library.louisville.edu/jsfa/
Publication Type: Journal Articles; Reports - Research; Numerical/Quantitative Data
Education Level: Higher Education; Postsecondary Education
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Language: English
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