IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v58y2024i6d10.1007_s11135-023-01679-8.html
   My bibliography  Save this article

Estimating fuzzy measures of deprivation at local level in Tuscany

Author

Listed:
  • Federico Crescenzi

    (Tuscia University)

  • Laura Neri

    (University of Siena)

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.

Suggested Citation

  • Federico Crescenzi & Laura Neri, 2024. "Estimating fuzzy measures of deprivation at local level in Tuscany," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(6), pages 5309-5328, December.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:6:d:10.1007_s11135-023-01679-8
    DOI: 10.1007/s11135-023-01679-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-023-01679-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-023-01679-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Monique Graf & J. Miguel Marín & Isabel Molina, 2019. "A generalized mixed model for skewed distributions applied to small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(2), pages 565-597, June.
    2. Joaquín Prieto, 2022. "A Multidimensional Approach to Measuring Economic Insecurity: The Case of Chile," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 163(2), pages 823-855, September.
    3. Gianni Betti & Francesca Gagliardi & Achille Lemmi & Vijay Verma, 2015. "Comparative measures of multidimensional deprivation in the European Union," Empirical Economics, Springer, vol. 49(3), pages 1071-1100, November.
    4. Ilaria Benedetti & Gianni Betti & Federico Crescenzi, 2020. "Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries," Sustainability, MDPI, vol. 12(19), pages 1-12, October.
    5. Serena Arima & Gauri S. Datta & Brunero Liseo, 2015. "Bayesian Estimators for Small Area Models when Auxiliary Information is Measured with Error," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(2), pages 518-529, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Patrick Krennmair & Timo Schmid, 2022. "Flexible domain prediction using mixed effects random forests," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1865-1894, November.
    2. Antoanneta Potsi & Antonella D’Agostino & Caterina Giusti & Linda Porciani, 2016. "Childhood and capability deprivation in Italy: a multidimensional and fuzzy set approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2571-2590, November.
    3. Margherita Casini & Francesca Gagliardi & Gianni Betti, 2018. "Sustainable Development Goals indicators: a methodological proposal for a fuzzy Super Index in the Mediterranean area," Department of Economics University of Siena 782, Department of Economics, University of Siena.
    4. Ayala, Luis & Bárcena-Martín, Elena & Cantó, Olga & Navarro, Carolina, 2022. "COVID-19 lockdown and housing deprivation across European countries," Social Science & Medicine, Elsevier, vol. 298(C).
    5. Zhongfa Zhou & Changli Zhu, 2022. "Relative Spatial Poverty Within Guizhou Province, A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 161(1), pages 151-170, May.
    6. Juan Manuel Espejo Benítez & José María Millán Tapia, 2023. "Población en riesgo de pobreza y/o exclusión social. Propuesta metodológica para la estimación del indicador AROPE en los municipios de Andalucía," Hacienda Pública Española / Review of Public Economics, IEF, vol. 246(3), pages 101-135, September.
    7. Yanhui Wang & Shoujie Jia & Wenping Qi & Chong Huang, 2022. "Examining Poverty Reduction of Poverty-Stricken Farmer Households under Different Development Goals: A Multiobjective Spatio-Temporal Evolution Analysis Method," IJERPH, MDPI, vol. 19(19), pages 1-21, October.
    8. Vijay Verma & Gianni Betti & Francesca Gagliardi, 2017. "Fuzzy Measures of Longitudinal Poverty in a Comparative Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(2), pages 435-454, January.
    9. Gianni Betti & Francesca Gagliardi & Laura Neri, 2021. "The Heavy Burden of “Dependent Children”: An Italian Story," Sustainability, MDPI, vol. 13(17), pages 1-12, September.
    10. Serena Arima & William R. Bell & Gauri S. Datta & Carolina Franco & Brunero Liseo, 2017. "Multivariate Fay–Herriot Bayesian estimation of small area means under functional measurement error," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(4), pages 1191-1209, October.
    11. Marchetti Stefano & Tzavidis Nikos, 2021. "Robust Estimation of the Theil Index and the Gini Coeffient for Small Areas," Journal of Official Statistics, Sciendo, vol. 37(4), pages 955-979, December.
    12. Serena Arima & Shaho Zarei, 2024. "Robust Bayesian small area estimation using the sub-Gaussian $$\alpha$$ α -stable distribution for measurement error in covariates," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(4), pages 777-799, December.
    13. María Dolores Esteban & María José Lombardía & Esther López‐Vizcaíno & Domingo Morales & Agustín Pérez, 2022. "Empirical best prediction of small area bivariate parameters," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1699-1727, December.
    14. Cantó, Olga & García-Pérez, Carmelo & Romaguera-de-la-Cruz, Marina, 2020. "The dimension, nature and distribution of economic insecurity in European countries: A multidimensional approach," Economic Systems, Elsevier, vol. 44(3).
    15. Priyanka Anjoy, 2023. "Hierarchical Bayes Measurement Error Small Area Model for Estimation of Disaggregated Level Workers Mobility Pattern in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 339-361, June.
    16. Anh Thu Quang Pham & Pundarik Mukhopadhaya & Ha Vu, 2020. "Targeting Administrative Regions for Multidimensional Poverty Alleviation: A Study on Vietnam," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(1), pages 143-189, July.
    17. Aldo Gardini & Enrico Fabrizi & Carlo Trivisano, 2022. "Poverty and inequality mapping based on a unit‐level log‐normal mixture model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2073-2096, October.
    18. Margherita Casini & Simone Bastianoni & Francesca Gagliardi & Massimo Gigliotti & Angelo Riccaboni & Gianni Betti, 2019. "Sustainable Development Goals Indicators: A Methodological Proposal for a Multidimensional Fuzzy Index in the Mediterranean Area," Sustainability, MDPI, vol. 11(4), pages 1-25, February.
    19. Isabel Molina & Paul Corral & Minh Nguyen, 2022. "Estimation of poverty and inequality in small areas: review and discussion," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(4), pages 1143-1166, December.
    20. Gianni Betti & Rossella Soldi & Ilija Talev, 2016. "Fuzzy Multidimensional Indicators of Quality of Life: The Empirical Case of Macedonia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(1), pages 39-53, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:58:y:2024:i:6:d:10.1007_s11135-023-01679-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.