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Estimating fuzzy measures of deprivation at local level in Tuscany
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 househol...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220345/ https://www.ncbi.nlm.nih.gov/pubmed/37359972 http://dx.doi.org/10.1007/s11135-023-01679-8 |
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author | Crescenzi, Federico Neri, Laura |
author_facet | Crescenzi, Federico Neri, Laura |
author_sort | Crescenzi, Federico |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10220345 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-102203452023-05-30 Estimating fuzzy measures of deprivation at local level in Tuscany Crescenzi, Federico Neri, Laura Qual Quant Article 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. Springer Netherlands 2023-05-27 /pmc/articles/PMC10220345/ /pubmed/37359972 http://dx.doi.org/10.1007/s11135-023-01679-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Crescenzi, Federico Neri, Laura Estimating fuzzy measures of deprivation at local level in Tuscany |
title | Estimating fuzzy measures of deprivation at local level in Tuscany |
title_full | Estimating fuzzy measures of deprivation at local level in Tuscany |
title_fullStr | Estimating fuzzy measures of deprivation at local level in Tuscany |
title_full_unstemmed | Estimating fuzzy measures of deprivation at local level in Tuscany |
title_short | Estimating fuzzy measures of deprivation at local level in Tuscany |
title_sort | estimating fuzzy measures of deprivation at local level in tuscany |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220345/ https://www.ncbi.nlm.nih.gov/pubmed/37359972 http://dx.doi.org/10.1007/s11135-023-01679-8 |
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