Deprivation and the Dimnensionality of Welfare: A Variable-Selection Cluster-Analysis Approach

German Caruso, Walter Sosa-Escudero and Marcela Svarc
Additional contact information
Walter Sosa-Escudero: Universidad de San Andrés
Marcela Svarc: Universidad de San Andrés
Authors registered in the RePEc Author Service: Walter Sosa Escudero ()

CEDLAS, Working Papers from CEDLAS, Universidad Nacional de La Plata

Abstract: In this paper we tackle the problems of dimensionality of welfare and that of identifying the multidimensionally poor by first finding the poor using the original space of attributes, and then reducing the welfare space. The starting point is the notion that the ‘poor’ constitutes a group of individuals that are essentially different from the ‘non-poor’ in a truly multidimensional framwework. Once this group has been identified, we propose reducing the dimension of the original welfare space by solving the problem of finding the smallest set of attributes that can reproduce as accurately as possible the ‘poor/non-poor’ classification in the first stage.

Keywords: Multidimensional welfare; poverty; factory analysis; clusters (search for similar items in EconPapers)
JEL-codes: C49 D31 I32 (search for similar items in EconPapers)
Pages: 23 pages
Date: 2011-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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http://cedlas.econo.unlp.edu.ar/archivos_upload/doc_cedlas112.pdf (application/pdf)

Related works:
Journal Article: Deprivation and the Dimensionality of Welfare: A Variable-Selection Cluster-Analysis Approach (2015)
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Persistent link: https://EconPapers.repec.org/RePEc:dls:wpaper:0112

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