Small area estimation – introduction, models and real data application

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F24%3A00379561" target="_blank" >RIV/68407700:21340/24:00379561 - 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
Small area estimation – introduction, models and real data application
Original language description
Small Area Estimation (SAE) is a branch of mathematical statistics that deals with the problem of estimating population parameters in subsets (called areas or domains) of a population where the sample sizes are not large enough to provide reliable direct estimates. For this purpose, SAE introduces statistical models that “borrow strength” from related small areas, data from external administrative sources, or data from different time periods. An overview of basic principles, models and problems encountered in SAE is given in the first part of the presentation. Then, the ideas are illustrated by an application of a unit-level multinomial mixed model to real data from the first Spanish Labour Force Survey of 2021, where the target is to map labour force indicators by province, sex, and age group.
Czech name
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Czech description
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Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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