How to Identify Rural Poor? An Alternative Approach
B. Sambi Reddy
Additional contact information
B. Sambi Reddy: Faculty Member, Centre for Quantitative Techniques, NIRD, Hyderabad –500 030.
Journal of Social and Economic Development, 2004, vol. 6, issue 2, 205-222
Abstract:
This paper delineates a set of non-monetary indicators for identification of rural poor households through the scientific method ‘Discriminant Analysis’. An analysis of the NSS household data brings out a different set of indicators with varying degrees of discriminating power for the selected five states. This paper suggests a feasible, reliable and alternative approach through which 85 - 90 per cent of the poor households in rural areas can be correctly identified as poor.
Date: 2004
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.isec.ac.in/JSED_v6_i1_205-222.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sch:journl:v:6:y:2004:i:2:p:205-222
Access Statistics for this article
More articles in Journal of Social and Economic Development from Institute for Social and Economic Change, Bangalore Contact information at EDIRC.
Bibliographic data for series maintained by B B Chand ().