Robustness methods in the counting approach to multidimensional poverty measurement
This chapter reviews the most recent robustness methods for multidimensional poverty comparisons based on binary indicators. The focus of the chapter is on the counting approach to multidimensional poverty measurement whose popularity is partly based on the relative abundance of non-monetary wellbeing data. The chapter reviews partial orderings based on ranking criteria whose fulfilment guarantees the robustness of a poverty comparison to a broad class of alternative measures and related parameter choices. The chapter discusses also the application of sensitivity analysis to gauge the impact on a poverty comparison of changes in narrower sets of measurement choices.
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- Social Sciences and Humanities
Department
- Criminology, Sociology and Social Policy
Published in
Research Handbook on Measuring Poverty and DeprivationPages
439-449Publisher
Edward ElgarVersion
- AO (Author's Original)
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© Edward Elgar PublishingPublisher statement
This is a draft chapter/article. The final version is available in Research Handbook on Measuring Poverty and Deprivation edited by Jacques Silber, published in 2023, Edward Elgar Publishing Ltd. https://doi.org/10.4337/9781800883451.00055 The material cannot be used for any other purpose without further permission of the publisher, and is for private use only.Publication date
2023-03-17Copyright date
2023Notes
The chapter "The measurement of asset and wealth poverty" from this book is available in the repository at: https://hdl.handle.net/2134/17429681.ISBN
9781800883444; 9781800883451Publisher version
Book series
Elgar Handbooks in DevelopmentLanguage
- en
Editor(s)
Jacques SilberDepositor
Dr Fran Azpitarte. Deposit date: 23 December 2021Usage metrics
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