We review the fuzzy approach to poverty measurement by comparing poverty indices having different membership functions proposed in the literature. We simulate two sample surveys from EU-SILC data to examine the statistical properties, sampling errors and robustness to parameter specification of the fuzzy indices considered. Two traditional crisp-set poverty indices (Head Count Ratio and Poverty Gap) are also compared to highlight their close link to the fuzzy approach.

On the estimation of fuzzy poverty indices using official survey data. Variance estimation, robustness and computational considerations

Crescenzi, Federico
;
2025-01-01

Abstract

We review the fuzzy approach to poverty measurement by comparing poverty indices having different membership functions proposed in the literature. We simulate two sample surveys from EU-SILC data to examine the statistical properties, sampling errors and robustness to parameter specification of the fuzzy indices considered. Two traditional crisp-set poverty indices (Head Count Ratio and Poverty Gap) are also compared to highlight their close link to the fuzzy approach.
2025
bootstrap
fuzzy methods
jackknife
poverty measurement
Sample surveys
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12606/29269
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