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Determinants of Demand for Cities with Higher Education Institutions: An Approach Based on Fractional Regression

Author

Listed:
  • Andreia Dionisio

    (Departamento de Gestão & CEFAGE-U.E., Universidade de Évora, Portugal)

  • Cassio Rolim

    (Departamento de Economia, Universidade Federal do Paraná, Curitiba, Brasil)

  • Conceicao Rego

    (Departamento de Economia & CEFAGE-U.E., Universidade de Évora, Portugal)

Abstract

Higher education institutions are typically situated in urban areas, making them appealing destinations for students seeking advanced education. This paper aims to explore the factors influencing the demand for cities with these institutions, focusing on the Portuguese context. By analysing distance and the quality of life in municipalities, we can better understand what attracts students to these university cities. Our findings, based on a fractional regression model, reveal that proximity to home and the disparity in rental and accommodation expenses play a significant role in the appeal of these cities for students and their families.

Suggested Citation

  • Andreia Dionisio & Cassio Rolim & Conceicao Rego, 2025. "Determinants of Demand for Cities with Higher Education Institutions: An Approach Based on Fractional Regression," Sustainable Regional Development Scientific Journal, Sustainable Regional Development Scientific Journal, vol. 0(1), pages 81-93, June.
    • Handle: RePEc:bfb:srdjou:2025-01_7
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    References listed on IDEAS

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    1. Berry, Christopher R. & Glaeser, Edward L., 2005. "Divergence of Human Capital Levels across Cities," Working Paper Series rwp05-057, Harvard University, John F. Kennedy School of Government.
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    6. Carla Alexandra Filipe Amado & Ana Paula Barreira & Sérgio Pereira Santos & Maria Helena Guimarães, 2019. "Comparing the quality of life of cities that gained and lost population: An assessment with DEA and the Malmquist index," Papers in Regional Science, Wiley Blackwell, vol. 98(5), pages 2075-2097, October.
    7. Esmeralda Ramalho & Joaquim Ramalho & Pedro Henriques, 2010. "Fractional regression models for second stage DEA efficiency analyses," Journal of Productivity Analysis, Springer, vol. 34(3), pages 239-255, December.
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    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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