Robustness properties of poverty indices

Frank Cowell () and Maria-Pia Victoria-Feser ()

STICERD - Distributional Analysis Research Programme Papers from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE

Abstract: Drawing on recent work concerning the statistical robustness of inequality statistics we examine the sensitivity of poverty indices to data contamination using the concept of the influence function. We show that poverty and inequality indices have fundamentally different robustness properties, and demonstrate that an imporrtant commonly used subclass of poverty measures will be robust under data conta m ination. We investigate both the case where the poverty line is exogenenously fixed and where it must be estimated from the data.

Keywords: Poverty; inequality; robustness; influence function (search for similar items in EconPapers)
Date: 1994-05
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Working Paper: Robustness properties of poverty indices (1994)
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Persistent link: https://EconPapers.repec.org/RePEc:cep:stidar:08

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