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
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topCosta, 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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