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Measuring the Distribution of Household Income, Consumption and Wealth: State of Play and Measurement Challenges

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  • Nora Lustig

    (Department of Economics, Tulane University)

Abstract

This paper focuses on the data challenges encountered while measuring vertical economic inequality, i.e. inequality of income and consumption, and-whenever feasible-wealth, among households or individuals ranked by the level of their economic resources. The paper presents a critical assessment of international databases on inequality. Among the worrisome facts is that international databases not only show different levels of inequality but, for some countries (especially in Sub-Saharan Africa), diverging trends also. A key factor behind the limitations of existing databases is the quality of the underlying household surveys (microdata) used as inputs for their construction. Among the salient challenges is that household surveys suffer from undercoverage and underreporting of top incomes, i.e. the "missing rich". Missing the rich introduces a bias in the measured inequality indicators, a bias that could go in either direction. Another limitation in existing inequality indicators is that the typical welfare metrics are disposable income and/or consumption expenditures; these, however, take into account only part of the effect that taxes and transfers have on people's economic well-being. The paper suggests that a more comprehensive assessment needs to use an income variable that includes social transfers in-kind (especially education and health), and adds the effect of consumption taxes and subsidies as well.

Suggested Citation

  • Nora Lustig, 2018. "Measuring the Distribution of Household Income, Consumption and Wealth: State of Play and Measurement Challenges," Working Papers 1801, Tulane University, Department of Economics.
  • Handle: RePEc:tul:wpaper:1801
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    Cited by:

    1. Raymundo M. Campos-Vázquez & Nora Lustig & John Scott, 2018. "Inequality in Mexico: Labour markets and fiscal redistribution 1989-2014," WIDER Working Paper Series wp-2018-188, World Institute for Development Economic Research (UNU-WIDER).
    2. Raymundo Campos-Vázquez & Nora Lustig & John Scott, 2018. "Inequality in Mexico: Labour markets and fiscal redistribution 1989–2014," WIDER Working Paper Series 188, World Institute for Development Economic Research (UNU-WIDER).
    3. Nora Lustig, 2020. "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers 520, ECINEQ, Society for the Study of Economic Inequality.
    4. Haydeeliz Carrasco & Hamidou Jawara & Moritz Meyer, 2022. "The Effects Of Fiscal Policy On Inequality And Poverty In The Gambia," Commitment to Equity (CEQ) Working Paper Series 117, Tulane University, Department of Economics.
    5. Nora Lustig, 2019. "The “Missing Rich” in Household Surveys: Causes and Correction Approaches," Commitment to Equity (CEQ) Working Paper Series 75, Tulane University, Department of Economics.

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    More about this item

    Keywords

    Inequality; international databases; household surveys; top incomes; economic well-being; taxes; cash and in-kind transfers;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods

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