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2013
DOI: 10.2139/ssrn.2259405
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Moving from the Household to the Individual: Multidimensional Poverty Analysis

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Cited by 25 publications
(31 citation statements)
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“…They conclude that the multidimensional poverty of totos in Jalpaiguri district is similar to that of Ethiopia. Vijaya, et al (2014) construct an individual level multidimensional poverty measure for Karnataka, India. They have calculated gender disaggregated KHAS-MPI for 10 different poverty cut offs ranging from 10 per cent to 100 per cent deprivation, to see if their result of higher poverty rates among women holds across different poverty lines.…”
Section: Literature Review and Objectivesmentioning
confidence: 99%
“…They conclude that the multidimensional poverty of totos in Jalpaiguri district is similar to that of Ethiopia. Vijaya, et al (2014) construct an individual level multidimensional poverty measure for Karnataka, India. They have calculated gender disaggregated KHAS-MPI for 10 different poverty cut offs ranging from 10 per cent to 100 per cent deprivation, to see if their result of higher poverty rates among women holds across different poverty lines.…”
Section: Literature Review and Objectivesmentioning
confidence: 99%
“…Furthermore, having sufficient monetary resources to purchase a basic basket of goods does not mean that these will necessarily be converted into that basket of goods (Alkire and Santos, ). A particularly pertinent issue in terms of child poverty relates to the fact that monetary resources are predominantly measured at the household level, which does not capture intra‐household distribution (Vijaya et al., ) and makes one rely on equivalence scales or other methods to infer conclusions for individual household members, including children. This in conjunction with the notion that children are dependent on others for income generation and translation of income into basic needs (Roelen et al., ) leads some to argue that monetary indicators are a poor reflection of children's living conditions (White et al., ).…”
Section: Monetary Multidimensional and Multiple Dimensions Of Povertymentioning
confidence: 99%
“…The PMT eligibility criterion, however, is based on household poverty, failing to capture intrahousehold poverty differences. Using Southern Africa survey data, Bhorat (, p. 157) shows that poverty measures at the individual level and the household level “transmit differential rankings of indigence.” Vijaya, Lahoti, and Swaminathan (, p. 70), using the Karnataka Household Asset Survey (India), show that “individual‐level measures can identify substantial gender differences in poverty that are masked when using household measures. Thus, gender‐disaggregated data and analysis can provide a useful complement to household level poverty measures.” If household poverty does not present the actual deprivations of individuals in the household, then, by definition, PMT is incapable of accurately identifying the levels of deprivations suffered by individuals in poverty.…”
Section: Reexamining Some Of the Assumptions Of Targeting Social Provmentioning
confidence: 99%