Multidimensional Poverty in Pakistan: Case of Punjab Province
This paper applies Alkire & Foster (2007) approach for measuring the multidimensional poverty. The data set used in the study is Multiple Indicator Cluster Survey 2003-04 of Punjab, Pakistan. Eight dimensions used in the study are Housing, Water, Sanitation, Electricity, Assets, Education, Expenditure, and Land. Results shows that at cut off K=2; Rajanpur, Muzaffargarh, Rahimyar Khan, Kasur, Okara and Lodhran respectively are the most multidimensionally poor districts of Punjab whereas, Gunj Buksh Town Lahore, Ravi Town Lahore, Cantt Town Lahore, Sialkot, Rawalpindi, Allama Iqbal Town Lahore, Gujranwala and Jhelum are the least deprived Towns/Districts of Punjab province. Dimension wise breakdown shows that Land deprivation, expenditure, sanitation, housing and education are respectively the major contributors among overall multidimensional poverty.
|Date of creation:||2011|
|Publication status:||Published in Journal of Economics and Behavioral Studies 2.3(2011): pp. 133-144|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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- Alkire, Sabina & Foster, James, 2011.
"Counting and multidimensional poverty measurement,"
Journal of Public Economics,
Elsevier, vol. 95(7), pages 476-487.
- Alkire, Sabina & Foster, James, 2011. "Counting and multidimensional poverty measurement," Journal of Public Economics, Elsevier, vol. 95(7-8), pages 476-487, August.
- Sabina Alkire and James Foster, 2009. "Counting and Multidimensional Poverty Measurement," OPHI Working Papers ophiwp007, Queen Elizabeth House, University of Oxford.
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- A. B. Atkinson & F. Bourguignon, 1982. "The Comparison of Multi-Dimensioned Distributions of Economic Status," Review of Economic Studies, Oxford University Press, vol. 49(2), pages 183-201.
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