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Valoracion De Atributos De Profesionales Universitarios

Author

Listed:
  • JESSICA CORIA

    (Escuela de Administración, Pontificia Universidad Católica de Chile)

  • PABLO MARSHALL

    (Escuela de Administración, Pontificia Universidad Católica de Chile)

Abstract

This study analyzes the needs and preferences of firms in the first-job market. To this end, an application to the case of commercial engineers in Chile is considered by means of a conjoint study. Partial utilities of the firms associated to different levels of attributes of the applicants are derived. The results show that the most relevant attributes for the commercial engineers in Chile are the level of specialization, the capacity for team work, the university where the applicant obtained the degree and the proficiency in English. Some of these attributes can be controlled by the universities and used in the design of more successful professional programs.

Suggested Citation

  • Jessica Coria & Pablo Marshall, 2001. "Valoracion De Atributos De Profesionales Universitarios," Abante, Escuela de Administracion. Pontificia Universidad Católica de Chile., vol. 4(2), pages 193-213.
  • Handle: RePEc:pch:abante:v:4:y:2001:i:2:p:193-213
    as

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    File URL: http://www.abante.cl/files/ABT/Contenidos/Vol-4-N2/3Coria%20Marshal.pdf
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    References listed on IDEAS

    as
    1. Paul E. Green & Abba M. Krieger, 1996. "Individualized Hybrid Models for Conjoint Analysis," Management Science, INFORMS, vol. 42(6), pages 850-867, June.
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    More about this item

    Keywords

    Conjoint Analysis; Marketing Research; Design of University Degree Programs; Chile;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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