An R tool for computing and evaluating Fuzzy poverty indices: The package FuzzyPovertyR
Year: 2025
Type: article
Abstract: Fuzzy set theory has become increasingly popular for deriving uni- and multi-dimensional poverty estimates. In recent years, various authors have proposed different approaches to defining membership functions, resulting in the development of various fuzzy poverty indices. This paper introduces a new R package called FuzzyPovertyR, designed for estimating fuzzy poverty indices. The package is demonstrated by using it to estimate three fuzzy poverty indices – one multi- and two uni-dimensional – at the regional level (NUTS 2) in Italy. The package allows users to select from a range of membership functions and includes tools for estimating the variance of these indices by the ad-hoc Jack-Knife repeated replication procedure or by naive and calibrated non-parametric bootstrap methods.
Source: Figshare
Authors: Crescenzi, F., Mori, L., Betti, G., Gagliardi, F., D'Agostino, A., Neri, L.
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
SDG: No poverty
Open Access status: green
OpenAlex ID: W6902255835
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