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Desigualdad multidimensional de los hogares: tipos de hogares y variables predictoras

Author

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  • Laura Di Capua, Claudia Brun y José Luis Pellegrini

    (Instituto de Investigaciones Económicas, Universidad Nacional de Rosario)

Abstract

This paper analyzes how certain characteristics of the household and their household heads affect the chances of urban households in the Great Buenos Aires and Pampean region to belong to different classes identified based on a multidimensional exploratory analysis of the inequality phenomenon. Classes found are four: one characterized by deep deprivations, other two that distinguished themselves primarily by access to basic services, and a last one with good general living conditions. It is concluded that, among the analyzed characteristics, many proved to be significant predictors of the likelihood of households to belong to each one of the classes found.

Suggested Citation

  • Laura Di Capua, Claudia Brun y José Luis Pellegrini, 2015. "Desigualdad multidimensional de los hogares: tipos de hogares y variables predictoras," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 61, pages 155-205, January-D.
  • Handle: RePEc:lap:journl:600
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    File URL: http://economica.econo.unlp.edu.ar/documentos/20160422030215PM_3_contenido-163-213.pdf
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    More about this item

    Keywords

    Multidimensional welfare; inequality; factor analysis; multinomial logistic regression model.;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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