Revistes Publicacions URV: SORT - Statistics and Operations Research Transactions> 2006

Improving small area estimation by combining surveys: new perspectives in regional statistics

  • Datos identificativos

    Identificador: RP:2301
    Handle: https://hdl.handle.net/20.500.11797/RP2301
    Autores:
    Ventura, EvaSatorra, AlbertCosta, Alex
    Resumen:
    A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour Force Survey (EPA) and the Barometer in Spain for our study.

  • Otros:

    Autor/es de la URV: Ventura, Eva Satorra, Albert Costa, Alex
    Resumen: A national survey designed for estimating a specific population quantity is sometimes used for estimation of this quantity also for a small area, such as a province. Budget constraints do not allow a greater sample size for the small area, and so other means of improving estimation have to be devised. We investigate such methods and assess them by a Monte Carlo study. We explore how a complementary survey can be exploited in small area estimation. We use the context of the Spanish Labour Force Survey (EPA) and the Barometer in Spain for our study.
    Año de publicación de la revista: 2006
    Tipo de publicación: info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article