Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/127630
Authors: 
Caruso, Germán
Sosa-Escudero, Walter
Svarc, Marcela
Year of Publication: 
2011
Series/Report no.: 
Documento de Trabajo 112
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.
Subjects: 
Multidimensional welfare
poverty
factory analysis
clusters
JEL: 
D31
I32
C49
Document Type: 
Working Paper

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