A modified nested-error regression model for small area estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00187362" target="_blank" >RIV/68407700:21340/13:00187362 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1080/02331888.2011.599068" target="_blank" >http://dx.doi.org/10.1080/02331888.2011.599068</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1080/02331888.2011.599068" target="_blank" >10.1080/02331888.2011.599068</a>

Result language
angličtina
Original language name
A modified nested-error regression model for small area estimation
Original language description
A nested-error regression model having both fixed and random effects is introduced to estimate linear parameters of small areas. The model is applicable to data having a proportion of domains where the variable of interest cannot be described by a standard linear mixed model. Algorithms and formulas to fit the model, to calculate EBLUP and to estimate mean-squared errors are given. A Monte Carlo simulation experiment is presented to illustrate the gain of precision obtained by using the proposed model and to obtain 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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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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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
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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