Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2015

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

  • Datos identificativos

    Identificador: RP:2422
    Handle: https://hdl.handle.net/20.500.11797/RP2422
    Autores:
    Salvatore, RenatoPagliarella, Maria ChiaraMorales, Domingo
    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.

  • Otros:

    Autor/es de la URV: Salvatore, Renato Pagliarella, Maria Chiara Morales, Domingo
    Palabras clave: Area-level models, small area estimation, time correlation, poverty indicators
    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.
    Año de publicación de la revista: 2015
    Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article

  • Palabras clave:

    Area-level models, small area estimation, time correlation, poverty indicators

  • Documentos:

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