Munich Personal RePEc Archive

Multidimensional Poverty Mapping for Rural Pakistan

Hameed, Abdul and Padda, Ihtsham ul Haq and Karim, Shahid (2016): Multidimensional Poverty Mapping for Rural Pakistan. Forthcoming in:

[img]
Preview
PDF
MPRA_paper_85022.pdf

Download (1MB) | Preview

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.

UB_LMU-Logo
MPRA is a RePEc service hosted by
the Munich University Library in Germany.