For many years users of statistical data were satisfied with national estimates and estimates for major subpopulations. One of the main objectives of modern statistics is to provide estimates not only for large areas but also for small domains, what can be helpful in making policy decisions. Small domains are defined mainly in  terms of some combinations of such socio- economic factors as age, sex or poverty status.
In the article the results for small area estimation using   empirical  best linear unbiased predictor (EBLUP) for data from Polish Household Budget Survey are presented. These results are obtained using some models of household income obtained for regions. Estimation of sample errors was conducted by balanced repeated replication technique. EBLUP estimates and MSE estimates were carried out using variance components techniques. Two methods of MSE estimation were used: maximum likelihood (ML) and restricted maximum likelihood (REML). The computation was made using SAE package designed for R-project environment.

1. FULLTEXT: Application of EBLUP estimation to the analysis of small areas on the basis of Polish household budget survey, Microsoft Office Document, 0.3MB

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