Labour Force Estimates for Small Geographical Domains in Italy: Problems, Data and Models

Nicola Torelli () and Matilde Trevisani ()
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Matilde Trevisani: Dipartimento di Scienze Economiche e Statistiche, Universita' di Trieste

Rivista Internazionale di Scienze Sociali, 2008, vol. 116, issue 4, 443-464

Abstract: One of the contexts where small area estimation techniques have proved their potential is the analysis of data collected in national labour force surveys to obtain estimates for small geographical domains. Applications of small area estimation methods to data from labour force surveys have recently been considered in Italy. This paper gives a review of specific problems, data and opportunities for the application of small area estimation models for producing reliable information at provincial and sub-provincial level in Italy on labour force aggregates. Some new developments stimulated by the application of small area estimation models to the analysis of labour force survey data are also discussed.

Keywords: Small Area Estimation; Bayesian hierarchical models; count data; local labour markets; spatial misalignment (search for similar items in EconPapers)
JEL-codes: C1 C11 C15 C83 (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:vep:journl:y:2008:v:116:i:4:p:443-464

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