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Moving from the Household to the Individual: Multidimensional Poverty Analysis

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Ramya Vijaya, Rahul Lahoti, Hema Swaminathan

Applications · Submitted 22 Apr 2013

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Our results show that an individual level measure can identify substantial gender differences in poverty that are masked at the household level.

how it is stated · asserted 1.00 read the record →

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arXiv ID1304.5816 (version 1)
Pith IDJVA2QVJA, Pith's permanent record of this paper and its review
CitationHema Swaminathan, Rahul Lahoti, Ramya Vijaya. "Moving from the Household to the Individual: Multidimensional Poverty Analysis." arXiv:1304.5816 (2013). https://pith.science/paper/JVA2QVJA
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The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,229 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.10 · human participants 0.77 · controlled comparison 0.13 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.84 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

Current multidimensional measures of poverty continue to follow the traditional income poverty approach of using household rather than the individual as the unit of analysis. Household level measures are gender blind since they ignore intra-household differences in resource allocation which have been shown to differ along gender lines. In this study we use new data from the Karnataka Household Asset Survey (KHAS) to construct an individual level multidimensional poverty measure for Karnataka, India. Our results show that an individual level measure can identify substantial gender differences in poverty that are masked at the household level. We also find a large potential for misclassification of poor individuals as non-poor when poverty is not assessed at the individual level.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Current multidimensional measures of poverty continue to follow the traditional income poverty approach of using household rather than the individual as the unit of analysis. background 0.94 0.04 0.03 asserted 1.00
s1 Household level measures are gender blind since they ignore intra-household differences in resource allocation which have been shown to differ along gender lines. background 0.89 0.05 0.05 asserted 1.00
s2 In this study we use new data from the Karnataka Household Asset Survey (KHAS) to construct an individual level multidimensional poverty measure for Karnataka, India. method 0.60 0.96 0.05 asserted 0.99
s3 Our results show that an individual level measure can identify substantial gender differences in poverty that are masked at the household level. result 1.00 0.97 0.69 asserted 1.00
s4 We also find a large potential for misclassification of poor individuals as non-poor when poverty is not assessed at the individual level. result 0.94 0.94 0.25 asserted 0.86

What kind of paper the classifier reports this is: empirical study 0.95 · evidence from analysis of existing data 0.96.

What was examined, and what was not

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  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
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  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Current multidimensional measures of poverty continue to follow the traditional income poverty approach of using household rather than the individual as the unit of analysis. Household level measures are gender blind since they ignore intra-household differences in resource allocation which have been shown to differ along gender lines. In this study we use new data from the Karnataka Household Asset Survey (KHAS) to construct an individual level multidimensional poverty measure for Karnataka, India. Our results show that an individual level measure can identify substantial gender differences in poverty that are masked at the household level. We also find a large potential for misclassification of poor individuals as non-poor when poverty is not assessed at the individual level.

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