Multidimensional Poverty Mapping for Rural Pakistan
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
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 15, 2016 erstellt
Other identifiers:
10.2139/ssrn.3149119 [DOI]
Classification:
D10 - Household Behavior and Family Economics. General ; I10 - Health. General ; I20 - Education. General ; I32 - Measurement and Analysis of Poverty ; R2 - Household Analysis