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  • The aim of the paper is to propose a small area estimation model for Theil Index, an entropy-based measure used to quantify economic inequality, industrial concentration and, in general, the disparity related to economic phenomena. We developed an area-level model of its relative index, i.e. Theil index over its maximum, which has a more manageable support between 0 and 1. Classical proposals in area-level context for measures on (0,1) are mostly based on proportions modelling and show limitations when dealing with asymmetric heavy-tailed data, such as in our case. We propose a model with alternative distributional assumptions based on a particular Beta mixture with unconstrained mean modeling, estimated under a Hierarchical Bayes approach. An application to IT SILC income data is provided, showing that our proposal yields a more flexible framework in comparison with Beta regression with unmatched sampling and linking models. (xsd:string)
?:author
?:comment
  • (SILC) (xsd:string)
?:dataSource
  • EU-SILC-Bibliography (xsd:string)
?:dateModified
  • 2021 (xsd:gyear)
?:datePublished
  • 2021 (xsd:gyear)
?:duplicate
?:editor
?:fromPage
  • 57 (xsd:string)
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?:inLanguage
  • english (xsd:string)
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?:name
  • Flexible Small Area Estimation of Theil Index using Mixture of Beta (xsd:string)
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  • inproceedings (xsd:string)
?:reference
?:sourceCollection
  • SAE 2021 BIG4small - Book of short papers (xsd:string)
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  • Bibsonomy (xsd:string)
  • In SAE 2021 BIG4small - Book of short papers, edited by Michele, D’Alò and Falorsi, Stefano and Fasulo, Andrea, 57-62, 2021 (xsd:string)
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  • European Union Statistics on Income and Living Conditions (EU-SILC) (xsd:string)
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  • 2021 (xsd:string)
  • FDZ_GML (xsd:string)
  • SILC (xsd:string)
  • SILC_input2022 (xsd:string)
  • SILC_pro (xsd:string)
  • english (xsd:string)
  • inproceedings (xsd:string)
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  • 62 (xsd:string)
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