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Analysis of Enrollment: A Spatial-interaction Model

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  • Md. Kamar Ali

    (West Virginia University)

Abstract

Enrollment levels are often considered as one of the success indicators of college programs. To design a focused and targeted incentive program for attracting students, enrollment managers need information on specific external factors that affect college choices. This paper asks whether income, distance, or geographic locations of potential students are important determinants of student migration and sheds light on the expected patterns of spatial distribution of student enrollment if these factors are controlled. The analysis employed spatial-interaction or gravity models, which treat enrollment levels as interactions of a college or university with the student population in surrounding states or counties. By comparing the model predicted enrollment estimates with the actual levels, it is possible to identify the states or counties that are under- or over-supplying students to the intended college. With this information, enrollment administration bodies can design effective promotional packages for the under-supplying regions for future enrollment enhancement. The method is illustrated with limited data for West Virginia University but can be applied to any university with appropriate data.

Suggested Citation

  • Md. Kamar Ali, 2003. "Analysis of Enrollment: A Spatial-interaction Model," Journal of Economic Insight (formerly the Journal of Economics (MVEA)), Missouri Valley Economic Association, vol. 29(2), pages 67-86.
  • Handle: RePEc:mve:journl:v:29:y:2003:i:2:p:67-86
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    Cited by:

    1. Alm, James & Winters, John V., 2009. "Distance and intrastate college student migration," Economics of Education Review, Elsevier, vol. 28(6), pages 728-738, December.

    More about this item

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R19 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Other
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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