International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies


:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

ISSN 2228-9860
eISSN 1906-9642


Vol.11(12) (2020)


    Rifat Mahmood, Ijaz Hussain (Department of Economics, Gomal University, DeraIslami Khan, Khyber Pakhtunkhwa, PAKISTAN).

    Disciplinary: Economic Sciences, Poverty Studies.

    ➤ FullText

    DOI: 10.14456/ITJEMAST.2020.232

    Keywords: Deprivation and poverty; MPI index, Poverty indicators; Multidimensional poverty measurement; Region-wise MPI; Poverty assessment; Education dimension; Living standard; Housing quality; Health dimension; Basic needs dimension.

    Poverty has a multidimensional aspect in recent years. It includes not only income or expenditure but also covers basic needs and living standards. Consequently, poverty assessment during its valuation phase should incorporate all the above aspects. The multidimensional poverty index is composite by taking all the above considerations. Thus, the new methodology of poverty assessment captures these deficiencies/ deprivations that people face. This paper estimates the multidimensional poverty index (MPI), by considering the five dimensions i.e. quality of housing, health facility, education, basic needs, and living standards, with eleven indicators. The theme is to consider all the dimensions right at the time of poverty assessment, not to consider after the poverty assessment (as effects of poverty). For this, this study uses the micro-level data from Pakistan Social and Living Standard Measurement Survey (PSLM) Round VII (2013-14), collected by the Statistics Division, Pakistan Bureau of Statistics, Islamabad. The round-VII has covered 17989 households. It has provided all the required information on households at the regional level. A 76% share of MPI to the country is contributed from the rural region.

    Paper ID: 11A12G

    Cite this article:

    Mahmood, R., Hussain, I. (2020). MULTIDIMENSIONAL POVERTY INDEX (MPI) FOR URBAN AND RURAL REGIONS OF PAKISTAN. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 11(12), 11A12G, 1-13.


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