Application of an area level model to small area estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F10%3A00175113" target="_blank" >RIV/68407700:21340/10:00175113 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Application of an area level model to small area estimation
Original language description
In this contribution we extend the Fay-Herriot model to an area level linear regression model with random intercepts having one of two possible variances. The model is applicable to data having a large subset of domains where direct estimates of the variable of interest cannot be described in the same way as in its complementary subset of domains. This is generally the case when domains are constructed by crossing geographical characteristics with sex. Estimation procedures for the variance components and regression parameters are considered and empirical best linear unbiased predictors (EBLUP) of domain parameters are derived as well as estimates of the mean square error of the EBLUP. Monte Carlo simulation experiments are presented to illustrate thegain of precision obtained by using the proposed model and to get some practical conclusions. A motivating application to Spanish Labour Force Survey data is also given.
Czech name
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Czech description
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Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
SPMS 2010 Stochastic and Physical Monitoring Systems
ISBN
978-80-01-04641-8
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
ČVUT
Place of publication
Praha
Event location
Děčín
Event date
Jun 27, 2010
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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