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A Behavior‐Based Approach to the Estimation of Poverty in India

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  • Ingvild Almås
  • Anders Kjelsrud
  • Rohini Somanathan

Abstract

Estimates of poverty in India are crucial inputs for the understanding of world poverty, yet there is much disagreement about the numbers and the legitimacy of methods used to derive them. In this paper, we propose and justify an alternative approach to identify the poor, which uses the proportion of income spent on food. Our estimates have weaker data requirements than official methods, and they compare favorably with several validation tests. Most notably, households around our state poverty lines obtain their calories from similar sources, whereas this is not true of official poverty lines. We also find that rates of self‐reported hunger are higher in states that we classify as poor.

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  • Ingvild Almås & Anders Kjelsrud & Rohini Somanathan, 2019. "A Behavior‐Based Approach to the Estimation of Poverty in India," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 182-224, January.
    • Handle: RePEc:bla:scandj:v:121:y:2019:i:1:p:182-224
    DOI: 10.1111/sjoe.12282
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    5. Gibson, John & Le, Trinh, 2019. "Using local expert knowledge to measure prices: Evidence from a survey experiment in Vietnam," MPRA Paper 92533, University Library of Munich, Germany.
    6. Chen,Xiaomeng & Mungai,Rose & Nakamura,Shohei & Pearson,Thomas Patrick & Wambile,Ayago Esmubancha & Yoshida,Nobuo, 2020. "How Useful is CPI Price Data for Spatial Price Adjustment in Poverty Measurement? : A Case from Ghana," Policy Research Working Paper Series 9388, The World Bank.
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    More about this item

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F01 - International Economics - - General - - - Global Outlook
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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