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How Serious is the Neglect of Intra‐Household Inequality in Multidimensional Poverty and Inequality Analyses? Evidence from India

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  • Stephan Klasen
  • Rahul Lahoti

Abstract

Monetary poverty measures as well as most existing multidimensional poverty indices (MPI) assume equal distribution within the household and thus are likely to yield a biased assessment of individual poverty, and poverty by age or gender. We show that the direction of the bias of such household‐based assessments in measuring poverty or inequality among individuals depends on how these measures use individual data to determine the poverty status of households. We use data from the 2012 Indian Human Development Survey and compare a standard household‐based MPI to an individual‐level MPI. The poverty rate among women is 14 percent points higher than that of men in our individual MPI measure but almost the same when using the household‐based measure. 22 percent of males and 27 percent of females are misclassified as poor or non‐poor using the household‐based measure. We also show that intra‐household inequality is 30 percent of total inequality.

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  • Stephan Klasen & Rahul Lahoti, 2021. "How Serious is the Neglect of Intra‐Household Inequality in Multidimensional Poverty and Inequality Analyses? Evidence from India," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 67(3), pages 705-731, September.
  • Handle: RePEc:bla:revinw:v:67:y:2021:i:3:p:705-731
    DOI: 10.1111/roiw.12491
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    2. Bussolo,Maurizio & Ezebuihe,Jessy Amarachi & Munoz Boudet,Ana Maria & Poupakis,Stavros & Rahman,Tasmia & Sarma,Nayantara, 2022. "Social Norms and Gender Equality : A Descriptive Analysis for South Asia," Policy Research Working Paper Series 10142, The World Bank.
    3. Yuxiang Xie & E. Xie, 2023. "Measuring and Analyzing the Welfare Effects of Energy Poverty in Rural China Based on a Multi-Dimensional Energy Poverty Index," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    4. Wang, Yao & Lin, Boqiang, 2022. "Can energy poverty be alleviated by targeting the low income? Constructing a multidimensional energy poverty index in China," Applied Energy, Elsevier, vol. 321(C).

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