IDEAS home Printed from https://ideas.repec.org/a/vep/journl/y2008v116i4p443-464.html
   My bibliography  Save this article

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

Author

Listed:
  • Nicola TORELLI
  • Matilde TREVISANI

    (Dipartimento di Scienze Economiche e Statistiche, Universita' di Trieste)

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.

Suggested Citation

  • Nicola TORELLI & Matilde TREVISANI, 2008. "Labour Force Estimates for Small Geographical Domains in Italy: Problems, Data and Models," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(4), pages 443-464.
    • Handle: RePEc:vep:journl:y:2008:v:116:i:4:p:443-464
    as

    Download full text from publisher

    File URL: http://riss.vitaepensiero.it/scheda-articolo_digital/nicola-torelli-matilde-trevisani/labour-force-estimates-for-small-geographical-domains-in-italy-problems-data-and-models-000518_2008_0004_0066-150924.html
    Download Restriction: Yes
    ---><---

    More about this item

    Keywords

    Small Area Estimation; Bayesian hierarchical models; count data; local labour markets; spatial misalignment;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    Statistics

    Access and download statistics

    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:vep:journl:y:2008:v:116:i:4:p:443-464. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Vep - Vita e Pensiero (email available below). General contact details of provider: .

    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.