Small area estimation at provincial level in the Italian labour force survey

  • Piero Demetrio Falorsi
  • Stefano Falorsi
  • Aldo Russo


With regard to the Italian Labour Force Survey (LFS), this work presents the results of a research project aiming to find estimation methods which improve the reliability of the estimates at the level ofprovinces. The 95 provinces areplanned domains, within geographical regions, for which separate samples have been planned, designed and selected. We consider the following estimators:post-stratified ratio, Fay-Herriot andthree time series estimators which generalize the Fay-Herriot estimator. Furthermore, we develop two empirical analyses: the first is a comparative analysis by means o( a Monte Carlo simulation from a real time series obtained from bi-annual data of LFS; in the second analysis we develop a comparative study of the estimators using real bi-annual survey data and the estimates of MSE of estimators.


Small Area Estimation Time Series Approach Kalman Filter Standard Error 


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Copyright information

© Società Italiana di Statistica 1998

Authors and Affiliations

  • Piero Demetrio Falorsi
    • 1
  • Stefano Falorsi
    • 1
  • Aldo Russo
    • 2
  1. 1.National Statistical InstituteItaly
  2. 2.University Roma TreItaly

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