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Measuring poverty within the household

Author

Listed:
  • Caitlin Brown

    (University of Manchester, UK)

  • Rossella Calvi

    (Rice University, USA)

  • Jacob Penglase

    (San Diego State University, USA)

  • Denni Tommasi

    (University of Bologna, Italy)

Abstract

A key element of anti-poverty policy is the accurate identification of poor individuals. However, measuring poverty at the individual level is difficult since consumption data are typically collected at the household level. Per capita measures based on household-level data ignore both inequality within the household and economies of scale in consumption. The collective household model offers an alternative and promising framework to estimate poverty at the individual level while accounting for both inequality within the household and economies of scale in consumption.

Suggested Citation

  • Caitlin Brown & Rossella Calvi & Jacob Penglase & Denni Tommasi, 2022. "Measuring poverty within the household," IZA World of Labor, Institute of Labor Economics (IZA), pages 492-492, May.
    • Handle: RePEc:iza:izawol:journl:2022:n:492
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    References listed on IDEAS

    as
    1. Martin Browning & Pierre-André Chiappori & Arthur Lewbel, 2013. "Estimating Consumption Economies of Scale, Adult Equivalence Scales, and Household Bargaining Power," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(4), pages 1267-1303.
    2. Caitlin Brown & Martin Ravallion & Dominique van de Walle, 2019. "Most of Africa's Nutritionally Deprived Women and Children are Not Found in Poor Households," The Review of Economics and Statistics, MIT Press, vol. 101(4), pages 631-644, October.
    3. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2022. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions using Direct Evidence on Sharing," The Economic Journal, Royal Economic Society, vol. 132(643), pages 865-905.
    4. Ravallion, Martin, 2016. "The Economics of Poverty: History, Measurement, and Policy," OUP Catalogue, Oxford University Press, number 9780190212773.
    5. Brown, Caitlin & Calvi, Rossella & Penglase, Jacob, 2021. "Sharing the pie: An analysis of undernutrition and individual consumption in Bangladesh," Journal of Public Economics, Elsevier, vol. 200(C).
    6. Geoffrey R. Dunbar & Arthur Lewbel & Krishna Pendakur, 2013. "Children's Resources in Collective Households: Identification, Estimation, and an Application to Child Poverty in Malawi," American Economic Review, American Economic Association, vol. 103(1), pages 438-471, February.
    7. Jacob Penglase, 2021. "Consumption Inequality Among Children: Evidence from Child Fostering in Malawi," The Economic Journal, Royal Economic Society, vol. 131(634), pages 1000-1025.
    8. Tommasi, Denni & Wolf, Alexander, 2018. "Estimating household resource shares: A shrinkage approach," Economics Letters, Elsevier, vol. 163(C), pages 75-78.
    9. Rossella Calvi, 2020. "Why Are Older Women Missing in India? The Age Profile of Bargaining Power and Poverty," Journal of Political Economy, University of Chicago Press, vol. 128(7), pages 2453-2501.
    10. Pierre‐André Chiappori, 2016. "Equivalence versus Indifference Scales," Economic Journal, Royal Economic Society, vol. 0(592), pages 523-545, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    poverty; equivalence scales; intra-household inequality; collective model; resource shares; scale economies;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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