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

Alex Costa; Albert Satorra; Eva Ventura

SORT (2006)

  • Volume: 30, Issue: 1, page 101-122
  • ISSN: 1696-2281

Abstract

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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.

How to cite

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Costa, Alex, Satorra, Albert, and Ventura, Eva. "Improving small area estimation by combining surveys: new perspectives in regional statistics.." SORT 30.1 (2006): 101-122. <http://eudml.org/doc/41622>.

@article{Costa2006,
abstract = {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.},
author = {Costa, Alex, Satorra, Albert, Ventura, Eva},
journal = {SORT},
keywords = {Regresión lineal; Estimación en áreas pequeñas; Encuestas; Simulación de Montecarlo; composite estimator; complementary survey; mean squared error; official statistics; regional statistics; small areas},
language = {eng},
number = {1},
pages = {101-122},
title = {Improving small area estimation by combining surveys: new perspectives in regional statistics.},
url = {http://eudml.org/doc/41622},
volume = {30},
year = {2006},
}

TY - JOUR
AU - Costa, Alex
AU - Satorra, Albert
AU - Ventura, Eva
TI - Improving small area estimation by combining surveys: new perspectives in regional statistics.
JO - SORT
PY - 2006
VL - 30
IS - 1
SP - 101
EP - 122
AB - 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.
LA - eng
KW - Regresión lineal; Estimación en áreas pequeñas; Encuestas; Simulación de Montecarlo; composite estimator; complementary survey; mean squared error; official statistics; regional statistics; small areas
UR - http://eudml.org/doc/41622
ER -

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