Open Access
May 2017 Construction of Weights in Surveys: A Review
David Haziza, Jean-François Beaumont
Statist. Sci. 32(2): 206-226 (May 2017). DOI: 10.1214/16-STS608


Weighting is one of the central steps in surveys. The typical weighting process involves three major stages. At the first stage, each unit is assigned a base weight, which is defined as the inverse of its inclusion probability. The base weights are then modified to account for unit nonresponse. At the last stage, the nonresponse-adjusted weights are further modified to ensure consistency between survey estimates and known population totals. When needed, the weights undergo a last modification through weight trimming or weight smoothing methods in order to improve the efficiency of survey estimates. This article provides an overview of the various stages involved in the typical weighting process used by national statistical offices.


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David Haziza. Jean-François Beaumont. "Construction of Weights in Surveys: A Review." Statist. Sci. 32 (2) 206 - 226, May 2017.


Published: May 2017
First available in Project Euclid: 11 May 2017

zbMATH: 1381.62025
MathSciNet: MR3648956
Digital Object Identifier: 10.1214/16-STS608

Keywords: calibration estimator , design-based framework , expansion estimator , propensity score adjusted estimator , unequal probability sampling , unit nonresponse , weight smoothing , weight trimming , weighting system

Rights: Copyright © 2017 Institute of Mathematical Statistics

Vol.32 • No. 2 • May 2017
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