Estimating fuzzy measures of deprivation at local level in Tuscany

Federico Crescenzi and Laura Neri ()
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Federico Crescenzi: Tuscia University
Laura Neri: University of Siena

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 6, No 13, 5309-5328

Abstract: Abstract In this paper we estimate monetary and non-monetary poverty measures at two sub-regional levels in the region of Tuscany (Italy) using data from the ad-hoc Survey on Vulnerability and Poverty held by Regional Institute from Economic Planning of Tuscany (IRPET). We estimate the percentage of households living in poverty conditions and three supplementary fuzzy measures of poverty regarding deprivation in basic needs and lifestyle, children deprivation, and financial insecurity. The key feature of the survey is that it was carried out after the COVID-19 pandemic, therefore, some of the items collected focus on the subjective perception of poverty eighteen months after the beginning of the pandemic. We assess the quality of these estimates either with initial direct estimates along with their sampling variance, and with a secondary small area estimation when the formers are not sufficiently accurate.

Keywords: Deprivation; Multidimensional and fuzzy measures; Small area estimation; Tuscany (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01679-8

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