IDEAS home Printed from https://ideas.repec.org/a/isa/journl/v10y2008i1p59-72.html
   My bibliography  Save this article

Estimation of Poverty Rates for the Italian Population classified by Household Type and Administrative Region

Author

Listed:
  • Claudio Ceccarelli
  • Enrico Fabrizi
  • Maria Rosaria Ferrante
  • Silvia Pacei

    () (Italian National Institute of Statistics
    DISES, Facoltà di Economia, Università Cattolica, Piacenza
    Università di Bologna
    Università di Bologna)

Abstract

The aim of the work is to provide estimates of some poverty rates for domains defined by cross-classifying the Italian population by household typology and administrative region, on the basis of data collected for Italy by the new “European Union – Statistics on Income and Living Conditions” survey (EU-SILC). This survey is designed to provide reliable estimates for large areas within countries much bigger than the sub-populations of our interest. To solve this problem, we suggest small area estimators derived from multivariate area level models, that improve the reliability of estimates “borrowing strength” over areas and by exploiting the correlation between the considered indicators. The unemployment rate calculated by household typology within administrative regions is used as auxiliary information to improve the precision of model based estimators. As estimation method we use a Hierarchical Bayesian approach implemented by means of MCMC computation methods. Among the different models being compared, the Multivariate Normal-Logistic model is found out to be the best performer.

Suggested Citation

  • Claudio Ceccarelli & Enrico Fabrizi & Maria Rosaria Ferrante & Silvia Pacei, 2008. "Estimation of Poverty Rates for the Italian Population classified by Household Type and Administrative Region," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 10(1), pages 59-72, October.
  • Handle: RePEc:isa:journl:v:10:y:2008:i:1:p:59-72
    as

    Download full text from publisher

    File URL: http://www.istat.it/it/files/2011/05/1_20081.pdf
    Download Restriction: no

    More about this item

    Keywords

    Financial Poverty Measures; European Union - Statistics on Income and Living Conditions; Multivariate Hierarchical Bayes Model;

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • 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
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

    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:isa:journl:v:10:y:2008:i:1:p:59-72. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Stefania Rossetti). General contact details of provider: http://edirc.repec.org/data/istgvit.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.