Bayesian Bootstrap in Multiple Frames

Daniela Cocchi, Lorenzo Marchi and Riccardo Ievoli
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Daniela Cocchi: Department of Statistical Sciences, University of Bologna, 40126 Bologna, Italy
Lorenzo Marchi: KU Leuven, Research Centre Insurance, 3000 Leuven, Belgium
Riccardo Ievoli: Department of Chemical, Pharmaceutical and Agricultural Sciences University of Ferrara, 44121 Ferrara, Italy

Stats, 2022, vol. 5, issue 2, 1-11

Abstract: Multiple frames are becoming increasingly relevant due to the spread of surveys conducted via registers. In this regard, estimators of population quantities have been proposed, including the multiplicity estimator. In all cases, variance estimation still remains a matter of debate. This paper explores the potential of Bayesian bootstrap techniques for computing such estimators. The suitability of the method, which is compared to the existing frequentist bootstrap, is shown by conducting a small-scale simulation study and a case study.

Keywords: resampling; complex surveys; Pólya’s urn; variance estimation (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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