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Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions using Direct Evidence on Sharing

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  • Olivier Bargain

    (GREThA - Groupe de Recherche en Economie Théorique et Appliquée - UB - Université de Bordeaux - CNRS - Centre National de la Recherche Scientifique)

  • Guy Lacroix
  • Luca Tiberti

Abstract

Welfare analyses conducted by policy practitioners around the world usually rely on equivalised or per capita expenditures and ignore the extent of within-household inequality. Recent advances in the estimation of collective models suggest ways to retrieve the complete sharing process within families using homogeneity assumptions (typically preference stability upon exclusive goods across individuals or household types) and the observation of exclusive goods. So far, the prediction of these models has not been validated, essentially because intrahousehold allocation is seldom observed. We provide such a validation by leveraging a unique dataset from Bangladesh, which contains information on the fully individualised expenditures of each family member. We also test the core assumption (efficiency) and homogeneity assumptions used for identification. It turns out that the collective model predicts individual resources reasonably well when using clothing, i.e., one of the rare goods commonly assignable to males, females and children in standard expenditure surveys. It also allows for identifying poor individuals in non-poor households, while the traditional approach understates poverty among the poorest individuals.

Suggested Citation

  • Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions using Direct Evidence on Sharing," Post-Print hal-03683468, HAL.
  • Handle: RePEc:hal:journl:hal-03683468
    DOI: 10.1093/ej/ueab085
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    Cited by:

    1. Xiangdan Piao, 2023. "Intra-Household Income Management and Couple’s Relative Sharing of Income and Environment Sustainability in Japan," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    2. Laurens Cherchye & Pierre-André Chiappori & Bram De Rock & Charlotte Ringdal & Frederic Vermeulen, 2021. "Feed the children," IFS Working Papers W21/32, Institute for Fiscal Studies.
    3. 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).
    4. Calvi, Rossella & Penglase, Jacob & Tommasi, Denni & Wolf, Alexander, 2023. "The more the poorer? Resource sharing and scale economies in large families," Journal of Development Economics, Elsevier, vol. 160(C).
    5. Ulugbek Aminjonov & Olivier Bargain & Maira Colacce & Luca Tiberti, 2022. "Culture, Intra-household Distribution and Individual Poverty," Working Papers - Economics wp2022_21.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    6. Zhongwu Li & Fengzhi Lu, 2024. "The power of Internet: from the perspective of women’s bargaining power," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    7. Anderson Vil, "undated". "Children Costs in a One-adult Household: Empirical Evidence from the UK," THEMA Working Papers 2024-08, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    8. Beltramo, Theresa P. & Calvi, Rossella & De Giorgi, Giacomo & Sarr, Ibrahima, 2023. "Child poverty among refugees," World Development, Elsevier, vol. 171(C).
    9. 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.

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