A design‐based approach to small area estimation using a semiparametric generalized linear mixed model

Hongjian Yu, Yueyan Wang, Jean Opsomer, Pan Wang and Ninez A. Ponce

Journal of the Royal Statistical Society Series A, 2018, vol. 181, issue 4, 1151-1167

Abstract: In small area estimation, non‐parametric models with penalized spline regression have been demonstrated to be a useful tool in creating granular area estimates to provide supplemental information where samples are few or non‐existent. This study further examines the ability of a semiparametric generalized linear mixed model to produce conforming estimates for multiple area levels. A mosaic analogy is used to describe this process. A design‐based jackknife method is employed for variance calculation.

Date: 2018
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https://doi.org/10.1111/rssa.12351

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssa:v:181:y:2018:i:4:p:1151-1167

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