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Why Is Food Consumption Inequality Underestimated? A Story of Vices and Children

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  • Raül Santaeulàlia-Llopis
  • Yu Zheng

Abstract

Without data on individual consumption, inequality is invariably inferred by applying adult equivalence scales to household-level consumption data. To assess the e effectiveness of these household-based measures of inequality, we exploit a rare opportunity in which individual food consumption data for each and all household members are available in China. We find that standard adult-equivalent measures understate cross-sectional individual inequality by 40%. The discrepancy is driven by the dispersion of "vices" consumption among adults -alcohol, tobacco, coffee and tea- and food among young children, which doubles that of adults. Our results suggest caution in the use of adult-equivalent scales to measure inequality.

Suggested Citation

  • Raül Santaeulàlia-Llopis & Yu Zheng, 2017. "Why Is Food Consumption Inequality Underestimated? A Story of Vices and Children," Working Papers 969, Barcelona School of Economics.
  • Handle: RePEc:bge:wpaper:969
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    Cited by:

    1. Sana Khushi & Sajid Rashid Ahmad & Ather Ashraf & Muhammad Imran, 2020. "Spatially analyzing food consumption inequalities using GIS with disaggregated data from Punjab, Pakistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(6), pages 1283-1298, December.
    2. Olivier Bargain & Guy Lacroix & Luca Tiberti, 2021. "Intrahousehold Resource Allocation and Individual Poverty: Assessing Collective Model Predictions against Direct Evidence on Sharing," Working Papers hal-03432676, HAL.
    3. Olivier Bargain, 2022. "Income Sources, Intra-Household Allocation And Individual Poverty," Commitment to Equity (CEQ) Working Paper Series 121, Tulane University, Department of Economics.
    4. Trinh Thi, Huong & Simioni, Michel & Thomas-Agnan, Christine, 2018. "Assessing the nonlinearity of the calorie-income relationship: An estimation strategy – With new insights on nutritional transition in Vietnam," World Development, Elsevier, vol. 110(C), pages 192-204.

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    More about this item

    Keywords

    food; consumption; Inequality; individual data; vices; children;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth

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