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Analysing the Employability of Business and Administration Study Programs in Portugal

Author

Listed:
  • Aurora Galego

    () (Universidade de Evora and CEFAGE-UE)

  • Margarida Saraiva

    () (Universidade de √Čvora and UNIDE/ISCTE)

Abstract

This paper presents an analysis on the higher education graduates' employability in the field of Business and Administration in Portugal. Using econometric techniques, we consider the impact of several variables in the unemployment "propensity" of the pair study program/institution. The results show that there are important differences between public and private institutions, between study programs of great and small size, between the several fields of graduation within Business and Administration as well as regional differences.

Suggested Citation

  • Aurora Galego & Margarida Saraiva, 2010. "Analysing the Employability of Business and Administration Study Programs in Portugal," CEFAGE-UE Working Papers 2010_07, University of Evora, CEFAGE-UE (Portugal).
  • Handle: RePEc:cfe:wpcefa:2010_07
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    File URL: http://www.cefage.uevora.pt/en/content/download/2175/29518/version/1/file/2010_07.pdf
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    References listed on IDEAS

    as
    1. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Graduates; Business and Administration Science; Employability; Higher Education; Fractional Models.;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

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