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Dealing with categorical data in a multidimensional context: The Multidimensional Balanced Worth

Author

Listed:
  • Carmen Herrero Blanco

    (Ivie (Instituto Valenciano de Investigaciones Económicas))

  • Antonio Villar Notario

    (Ivie (Instituto Valenciano de Investigaciones Económicas))

Abstract

This paper refers to the evaluation of the relative performance of a set of populations, in a multidimensional context, by comparing outcome distributions relative to categorical variables (qualitative or quantitative data). This type of problem appears in many different fields, such as Medicine, Social Sciences or Engineering. We address this family of problems by extending the balanced worth (Herrero & Villar, 2018) to a multidimensional setting. To illustrate the working of this evaluation protocol, we analyse the human capital of the young in nine selected European countries, from three different viewpoints.

Suggested Citation

  • Carmen Herrero Blanco & Antonio Villar Notario, 2020. "Dealing with categorical data in a multidimensional context: The Multidimensional Balanced Worth," Working Papers. Serie AD 2020-01, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Handle: RePEc:ivi:wpasad:2020-01
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    File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2020-01.pdf
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    More about this item

    Keywords

    relative performance; categorical variables; multidimensional evaluation;
    All these keywords.

    JEL classification:

    • D71 - Microeconomics - - Analysis of Collective Decision-Making - - - Social Choice; Clubs; Committees; Associations

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