election model for domains across time:: application to labour force survey by economic activities

• María José Lombardía ^[1] ; Esther López-Vizcaíno ^[3] ; Cristina Rueda ^[2]
  1. [1] Universidade da Coruña

     Universidade da Coruña

     A Coruña, España

     
  2. [2] Universidad de Valladolid

     Universidad de Valladolid

     Valladolid, España

     
  3. [3] Instituto Galego de Estatística, Santiago de Compostela, Spain

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• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 30, Nº. 1, 2021, págs. 228-254
• Idioma: inglés
• DOI: 10.1007/s11749-020-00712-4
• Texto completo no disponible (Saber más ...)
• Resumen

  • This paper introduces a small area estimation approach that borrows strength across domains (areas) and time and is efficiently used to obtain labour force estimators by economic activity. Specifically, the data across time are used to select different models for each domain; such selection is done with an aggregated mixed generalized Akaike information criterion statistic which is obtained using data across all time points and then is split into individual component for each domain. The approach makes a selection from different estimators, including the direct estimator, synthetic and mixed estimators derived from different models using auxiliary information. Results from several simulation experiments, some with original designs, show the good performance of the approach against standard small area approaches. In addition, it is shown the important practical advantages in the real application.