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Localized competition in the non-resident student market

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  • Gonzalez Canche, Manuel Sacramento

Abstract

The non-resident student market brings monetary resources to colleges and universities in the U.S. Previous research on price-setting has been predominantly limited to public institutions. This study offers geospatial indicators to capture local competition and influence from public and private 4-year not-for-profit colleges to attract non-resident students. Utilizing a dataset built from federal, state, and institutional information, the 2011–2012 non-resident tuition prices of 1780 institutions across the contiguous U.S. were modeled. Four different neighboring specifications were used to measure the influence of the 1st, 5th, 10th, and 20th closest institutions. The findings support that localized competition and influence exists. Institutions use variations in their tuition prices to compete locally and remain a marketable option for non-resident students. Heterogeneous neighboring structures affect tuition setting above and beyond spatial dependence. Institutions’ tuition price-setting benefit the most by competing against doctoral/research institutions. Fixed-effects and HLM techniques were incapable of handling spatial dependence.

Suggested Citation

  • Gonzalez Canche, Manuel Sacramento, 2014. "Localized competition in the non-resident student market," Economics of Education Review, Elsevier, vol. 43(C), pages 21-35.
  • Handle: RePEc:eee:ecoedu:v:43:y:2014:i:c:p:21-35
    DOI: 10.1016/j.econedurev.2014.09.001
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    References listed on IDEAS

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    1. Richard Adkisson & James Peach, 2008. "Non-resident enrollment and non-resident tuition at land grant colleges and universities," Education Economics, Taylor & Francis Journals, vol. 16(1), pages 75-88.
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    More about this item

    Keywords

    Spatial econometrics; Geospatial statistics; Statistical analysis; Finance in higher education; Price-setting; Institutional influence and competition in Higher Education; Network of neighboring institutions;

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid

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