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Professional capacity index modelling of university professors by quantile regression: Case of the Universidad de Los Andes

Author

Listed:
  • Sinha Surendra P.

    (Instituto de Estadística Aplicada y Computación (IEAC), Edificio G, primer piso, Núcleo Universitario Liria, Facultad de Ciencias Económicas y Sociales, Universidad de Los Andes, Mérida, Venezuela, Código Postal 5101.)

  • Josefa Ramoni P.

    (Departamento de Economía, Edificio H, tercer piso, Núcleo Universitario Liria, Facultad de Ciencias Económicas y Sociales, Universidad de Los Andes, Mérida, Venezuela, Código Postal 5101.)

  • Elizabeth Torres R.

    (Instituto de Estadística Aplicada y Computación (IEAC), Edificio G, primer piso, Núcleo Universitario Liria, Facultad de Ciencias Económicas y Sociales, Universidad de Los Andes, Mérida, Venezuela, Código Postal 5101.)

  • Giampaolo Orlandoni M.

    (Instituto de Estadística Aplicada y Computación (IEAC), Edificio G, primer piso, Núcleo Universitario Liria, Facultad de Ciencias Económicas y Sociales, Universidad de Los Andes, Mérida, Venezuela, Código Postal 5101.)

Abstract

This study uses quantile regression to analyze the factors affecting the Professional Capacity Index and the Institutional Academic Risk based on data from the University of Los Andes (Mérida, Venezuela). Empirical results show that the effects of the covariables considered vary upon the specified quantiles. The main factors affecting the Institutional Academic Risk are the condition of being retired, the category or rank, and the level of education of the professor. It is even possible to measure the magnitude of the reduction of the ICP given the characteristics of the professor who is about to retire. It is necessary to promote programs that allow such an Index to increase as well as to reduce the risk of a progressive loss of highly qualified human capital.

Suggested Citation

  • Sinha Surendra P. & Josefa Ramoni P. & Elizabeth Torres R. & Giampaolo Orlandoni M., 2010. "Professional capacity index modelling of university professors by quantile regression: Case of the Universidad de Los Andes," Economía, Instituto de Investigaciones Económicas y Sociales (IIES). Facultad de Ciencias Económicas y Sociales. Universidad de Los Andes. Mérida, Venezuela, vol. 35(29), pages 209-225, January-j.
    • Handle: RePEc:ula:econom:v:35:y:2010:i:29:p:209-225
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    References listed on IDEAS

    as
    1. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    2. Roger W. Koenker & Vasco D'Orey, 1987. "Computing Regression Quantiles," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(3), pages 383-393, November.
    3. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    4. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
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    Keywords

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    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials

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