Multidimensional Measurement of Poverty in Pakistan: Provincial Analysis
This 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.
|Date of creation:||22 Oct 2012|
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- Esfandiar Maasoumi & Maria Ana Lugo, 2008.
"The Information Basis of Multivariate Poverty Assessments,"
0804, Department of Economics, Emory University (Atlanta).
- Maasoumi, Esfandiar & Lugo, Maria, 2006. "The Information Basis of Multivariate Poverty Assessments," Departmental Working Papers 0603, Southern Methodist University, Department of Economics.
- David E. Sahn & David Stifel, 2003. "Exploring Alternative Measures of Welfare in the Absence of Expenditure Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 49(4), pages 463-489, December.
- Klasen, Stephan, 2000. "Measuring Poverty and Deprivation in South Africa," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 46(1), pages 33-58, March.
- François Bourguignon & Satya Chakravarty, 2003.
"The Measurement of Multidimensional Poverty,"
The Journal of Economic Inequality,
Springer;Society for the Study of Economic Inequality, vol. 1(1), pages 25-49, April.
- Sen, Amartya K, 1976. "Poverty: An Ordinal Approach to Measurement," Econometrica, Econometric Society, vol. 44(2), pages 219-31, March.
- Thon, Dominique, 1979. "On Measuring Poverty," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 25(4), pages 429-39, December.
- Van den Bosch, Karel, 1998. "Poverty and Assets in Belgium," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(2), pages 215-28, June.
- Wolff, Edward N, 1990. "Wealth Holdings and Poverty Status in the U.S," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 36(2), pages 143-65, June.
- Haroon Jamal & Amir Jahan Khan & Imran Ashraf Toor & Naveed Amir, 2003. "Mapping the Spatial Deprivation of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 42(2), pages 91-111.
- Awan, Masood Sarwar & Waqas, Muhammad & Aslam, Muhammad Amir, 2011. "Multidimensional Poverty in Pakistan: Case of Punjab Province," MPRA Paper 32875, University Library of Munich, Germany.
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