Multidimensional Poverty Mapping for Rural Pakistan

Abdul Hameed (), Ihtsham Padda and Shahid Karim

MPRA Paper from University Library of Munich, Germany

Abstract: This paper estimates and maps the multidimensional poverty for rural Pakistan. It uses micro data from household surveys to construct the Multidimensional Poverty Index (MPI) with human development indicators like education, health, standard of living and wealth. Furthermore, it identifies multiple deprivations at individual level contributions in education, health, standard of living and wealth in the rural multidimensional poverty as overall and district levels. The results show that the 59 percent rural population of Pakistan is poor. The district Thatta, in Sindh, district Dera Ghazi Khan in Punjab and the district Nowshera in the KPK record highest multidimensional poverty index. No district is included from Baluchistan due to unavailability of data. It is expounded that the policy makers can develop the strategies to reduce the rural poverty by enhancing rural education, improving living standards and creating opportunities for income.

Keywords: Multidimensional poverty; Education; Living standard; Wealth; Rural Pakistan (search for similar items in EconPapers)
JEL-codes: D10 I10 I20 I32 R20 (search for similar items in EconPapers)
Date: 2016-12-15
New Economics Papers: this item is included in nep-agr and nep-hme
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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