Multidimensional Measurement of Poverty in Pakistan: Provincial Analysis
AbstractThis paper has estimated multidimensional poverty for four provinces of Pakistan using PSLM dataset for years 2005-06 by applying Alkire and Foster (2007) methodology. Nine dimensions were selected for this study: Housing, Electricity, Water, Asset, Sanitation, Education, Expenditure, Empowerment and Land. Results found that overall Balochistan shows the worst picture, followed by NWFP, Sindh and Punjab. In urban areas of different provinces Balochistan is more multidimensionally poor followed by NWFP, Sindh and Punjab. As far as the rural area is concerned Balochistan is multidimensionally poor followed by Sindh, NWFP and then Punjab. Result shows that the most pervasive level of poverty exists in rural areas of different provinces. The analysis of contribution of each dimension in multidimensional poverty at different cutoffs showed that the major contributors are, land, empowerment, housing, assets and sanitation. This study also presents an empirical evidence of significant lack of overlap in the identification by the monetary and multidimensional approach in case of Pakistan.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 42119.
Date of creation: 22 Oct 2012
Date of revision:
Pakistan; Multidimensional Poverty; Provincial Analysis;
Find related papers by JEL classification:
- P36 - Economic Systems - - Socialist Institutions and Their Transitions - - - Consumer Economics; Health; Education and Training; Welfare, Income, Wealth, and Poverty
- D6 - Microeconomics - - Welfare Economics
- I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
- I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-11-03 (All new papers)
- NEP-CWA-2012-11-03 (Central & Western Asia)
- NEP-LTV-2012-11-03 (Unemployment, Inequality & Poverty)
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