Small area estimation of poverty indicators under partitioned area-level time models

• Domingo Morales ^[2] ; Maria Chiara Pagliarella ^[1] ; Renato Salvatore ^[1]
  1. [1] Università degli Studi di Siena

     Università degli Studi di Siena

     Siena, Italia

     
  2. [2] Universidad Miguel Hernández de Elche

     Universidad Miguel Hernández de Elche

     Elche, España

     
• Localización: Sort: Statistics and Operations Research Transactions, ISSN 1696-2281, Vol. 39, Nº. 1, 2015, págs. 19-34
• Idioma: inglés
• Enlaces
  • Texto completo (pdf)
• Resumen

  • This paper deals with small area estimation of poverty indicators. Small area estimators of these quantities are derived from partitioned time-dependent area-level linear mixed models. The introduced models are useful for modelling the different behaviour of the target variable by sex or any other dichotomic characteristic. The mean squared errors are estimated by explicit formulas.

    An application to data from the Spanish Living Conditions Survey is given.

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