Small area estimation using reduced rank regression models

Tatjana von Rosen and Dietrich von Rosen

Communications in Statistics - Theory and Methods, 2020, vol. 49, issue 13, 3286-3297

Abstract: Small area estimation techniques have got a lot of attention during the last decades due to their important applications in survey studies. Mixed linear models and reduced rank regression analysis are jointly used when considering small area estimation. Estimates of parameters are presented as well as prediction of random effects and unobserved area measurements.

Date: 2020
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DOI: 10.1080/03610926.2019.1586946

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