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Single Versus Multiple Deprivations Among Children in India

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https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fjournals.sagepub.com%2Fdoi%2F10.1177%2F09737030221092869;h=repec:sae:inddev:v:16:y:2022:i:1:p:97-118
Time Added
6/20/2022, 12:17:26 PM
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Logistic Regression
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Authors
Sunil Kumar Mishra and Swati Dutta
Abstract
Multidimensional deprivation among children is a critical issue. The present study explores the multidimensional deprivation of children based on India Human Development Survey data 2011–2012. A modified Bristol method and multidimensional deprivation approach have been used to measure the extent of deprivation. The study compares the results of multidimensional deprivation based on non-monetary indicators with the monetary measure of poverty. Further a logistic regression model is used to examine the determinants of multidimensional deprivation among children. Findings suggest that the multidimensional poverty among children was much higher in states such as Madhya Pradesh Uttar Pradesh Bihar and Rajasthan and was also much higher compared to monetary-based poverty measures. Logistic regression results indicate that if a child belongs to an educated mother then the chances of multidimensional deprivation are lower. On the contrary if a child belongs to a marginalised community like the scheduled tribes or scheduled castes and/or rural areas and poorest consumption class the chances of child deprivation increase. A major policy implication of the study is that dimension-specific social policy for children in the targeted regions needs to be developed.
Keywords
Child deprivation ; Bristol method ; multiple deprivation ; single deprivation monetary measure ; non-monetary measure (search for similar items in EconPapers)
Year Published
2022
Series
Indian Journal of Human Development 2022 vol. 16 issue 1 97-118
Rank
0.88
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