Deprivation and the Dimnensionality of Welfare: A Variable-Selection Cluster-Analysis Approach
AbstractIn 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CEDLAS, Universidad Nacional de La Plata in its series CEDLAS, Working Papers with number 0112.
Length: 23 pages
Date of creation: Jan 2011
Date of revision:
Multidimensional welfare; poverty; factory analysis; clusters;
Find related papers by JEL classification:
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ana Pacheco).
If references are entirely missing, you can add them using this form.