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Estimating Income/Expenditure Differences across Populations: New Fun with Old Engel's Law-Working Paper 339

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  • Lant Pritchett, Marla Spivack

Abstract

How much larger are the consumption possibilities of an urban US household with per capita expenditures of 1,000 US dollars per month than a rural Indonesian household with per capita expenditures of 1,000,000 Indonesian Rupiah per month? Consumers in different markets face widely different consumption possibilities and prices and hence the conversion of incomes or expenditures to truly comparable units of purchasing power is extremely difficult. We propose a simple supplement to existing purchasing power adjusted currency conversions. The Pritchett-Spivack Ratio (PSR) estimates the differences in household per capita expenditure using a simple inversion of the Engel’s law relationship between the share of food in consumption and total income/expenditures. Intuitively, we ask: “How much higher (as a ratio) would the expenditures of a household at 1,000,000 Indonesian Rupiah need to be along a given Engel relationship before they were predicted to have the same food share as a US household with consumption of 1,000 US dollars?” The striking empirical stability of Working-Lesser Engel coefficient estimates across time and space and widely available estimates of consumptions expenditures and hence food shares allow us to make two robust points using the PSR. First, the consumption of the typical (median) household in a developing country would have to rise 5 to10 fold to reach that of a household at the poverty line in an OECD country. Second, even the “rich of the poor”—the 90th or 95th percentile in developing countries—have food shares substantially higher than the “poor of the rich.”

Suggested Citation

  • Lant Pritchett, Marla Spivack, 2013. "Estimating Income/Expenditure Differences across Populations: New Fun with Old Engel's Law-Working Paper 339," Working Papers 339, Center for Global Development.
  • Handle: RePEc:cgd:wpaper:339
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    References listed on IDEAS

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    1. Ingvild Almas, 2012. "International Income Inequality: Measuring PPP Bias by Estimating Engel Curves for Food," American Economic Review, American Economic Association, vol. 102(2), pages 1093-1117, April.
    2. Lant Pritchett & Charles Kenny, 2013. "Promoting Millennium Development Ideals: The Risks of Defining Development Down," CID Working Papers 265, Center for International Development at Harvard University.
    3. repec:pri:rpdevs:deaton_pppp_version_aug_06.pdf is not listed on IDEAS
    4. Ghani, Ejaz (ed.), 2010. "The Poor Half Billion in South Asia: What is Holding Back Lagging Regions?," OUP Catalogue, Oxford University Press, number 9780198068846.
    5. Angus Deaton & Jed Friedman & Vivi Alatas, 2004. "Purchasing power parity exchange rates from household survey data: India and Indonesia," Working Papers 173, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
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    Cited by:

    1. Bachas, Pierre & Gadenne, Lucie & Jensen, Anders, 2020. "Informality, Consumption Taxes and Redistribution," The Warwick Economics Research Paper Series (TWERPS) 1277, University of Warwick, Department of Economics.
    2. Rodrik, Dani, 2017. "Is Global Equality the Enemy of National Equality?," Working Paper Series rwp17-003, Harvard University, John F. Kennedy School of Government.
    3. Zulfiqar, Farhad & Thapa, Gopal B., 2017. "Agricultural sustainability assessment at provincial level in Pakistan," Land Use Policy, Elsevier, vol. 68(C), pages 492-502.
    4. Pritchett, Lant, 2022. "National development delivers: And how! And how?," Economic Modelling, Elsevier, vol. 107(C).
    5. Kenneth W Clements & Yihui Lan & Haiyan Liu & Long Vo, 2022. "The Icp, Ppp And Household Expenditure Patterns," Economics Discussion / Working Papers 22-18, The University of Western Australia, Department of Economics.
    6. Eshita Gupta & Bharat Ramaswami & E. Somanathan, 2021. "The Distributional Impact of Climate Change: Why Food Prices Matter," Economics of Disasters and Climate Change, Springer, vol. 5(2), pages 249-275, July.

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    More about this item

    Keywords

    Engel curve; material standard of living; international development; poverty assessment income inequality;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution

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