Campus Units

Statistics

Document Type

Article

Publication Version

Published Version

Publication Date

12-2012

Journal or Book Title

Survey Methodology

Volume

38

Issue

2

First Page

157

Last Page

165

Abstract

The propensity-scoring-adjustment approach is commonly used to handle selection bias in survey sampling applications, including unit nonresponse and undercoverage. The propensity score is computed using auxiliary variables observed throughout the sample. We discuss some asymptotic properties of propensity-score-adjusted estimators and derive optimal estimators based on a regression model for the finite population. An optimal propensity-score-adjusted estimator can be implemented using an augmented propensity model. Variance estimation is discussed and the results from two simulation studies are presented.

Comments

This article is published as Kim, J.K. and Riddles, M. (2012). “Some theory for propensity scoring adjustment estimator,” Survey Methodology 38, 157-165. Posted with permission.

Rights

Source: Statistics Canada; Survey Methodology; December 2012. Reproduced and distributed on an "as is" basis with the permission of Statistics Canada.

Copyright Owner

Minister of Industry

Language

en

File Format

application/pdf

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