Multidimensional poverty and the factors influencing the multidimensional poverty status of Bodos': a case study of Udalguri district, Bodoland

Shrabanti Maity and Jeroen Buysse

International Journal of Education Economics and Development, 2017, vol. 8, issue 4, 266-285

Abstract: The aim of this paper is to identify the multidimensional poverty situation and determination of the factors that influence the multidimensional poverty of Bodos in Udalguri district, Bodoland. We applied multiple correspondence analysis (MCA) on the household level primary data for 333 Bodo households for constructing household level multidimensional poverty index (MPI). The data was collected by multistage stratified random sampling covering twenty-two villages of eleven blocks. The MPI value for the study area predicts that the area is poor and health, literacy, employment opportunities and the monthly consumption expenditure of the family are the most important influencing factors.

Keywords: MPI; multidimensional poverty index; MCA; multiple correspondence analysis; Bodo households; Udalguri district; literacy; health. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijeded:v:8:y:2017:i:4:p:266-285

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