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Preprints, Working Papers, ... Year : 2020

With-replacement bootstrap variance estimation for household surveys: principles, examples and implementation

Estimation de variance par bootstrap avec remise pour des enquêtes auprès des ménages : principes, exemples et mise en oeuvre

Abstract

Variance estimation is a challenging problem in surveys, for which bootstrap is an important tool. In this work, we are interested in the use of the with-replacement bootstrap for household surveys, with or without sub-sampling of individuals. We make explicit the benchmark variance estimators that the with-replacement bootstrap aims at reproducing. We also explain how the with-replacement bootstrap can be used for sampling, treatment of unit non-response and calibration. For clarity, the proposed methods are illustrated on a running example. They are evaluated through a simulation study, and applied to a French Panel for Urban Policy. Two SAS macros to perform the bootstrap methods are also developed.
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Dates and versions

hal-02514797 , version 1 (22-03-2020)

Identifiers

  • HAL Id : hal-02514797 , version 1

Cite

Pascal Bessonneau, Gwennaëlle Brilhaut, Guillaume Chauvet, Cédric Garcia. With-replacement bootstrap variance estimation for household surveys: principles, examples and implementation. 2020. ⟨hal-02514797⟩
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