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Multidimensional Indicators of Inequality and Poverty

In: Poverty, Social Exclusion and Stochastic Dominance

Author

Listed:
  • Satya R. Chakravarty

    (Indian Statistical Institute)

  • Maria Ana Lugo

    (World Bank)

Abstract

This chapter reviews the main features of multidimensional indices of inequality and poverty. For each of these cases, the discussion is divided into two approaches: a direct approach, where desirable properties are specified and a measure of inequality or poverty obtained; and the inclusive measure of well-being approach, where an index of individual well-being is defined in a first step, and the measure of inequality or poverty obtained in a second step. The emphasis will be on the properties that different measures satisfy and on the main justifications put forward when properties disagree.

Suggested Citation

  • Satya R. Chakravarty & Maria Ana Lugo, 2019. "Multidimensional Indicators of Inequality and Poverty," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 223-259, Springer.
    • Handle: RePEc:spr:thechp:978-981-13-3432-0_14
    DOI: 10.1007/978-981-13-3432-0_14
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    Cited by:

    1. World Bank, 2022. "A Welfarist Theory Unifying Monetary and Non-Monetary Poverty Measurement," Policy Research Working Paper Series 10076, The World Bank.
    2. Junhua Chen & Shufan Ma & Na Liu, 2023. "Multi-dimensional Housing Inequality Index: The Provincial Evidence from China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 633-654, January.

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