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Abstract Details

Activity Number: 278
Type: Invited
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #306130
Title: Doubly robust inference with missing data in survey sampling
Author(s): Jae-Kwang Kim*+ and David Haziza
Companies: Iowa State University and Université de Montréal
Address: Snedecor Hall, Ames, IA, 50011,
Keywords: Imputation ; Missing Data ; Nonresponse ; Response model ; Two-phase sampling
Abstract:

Statistical inference with missing data requires assumptions about the population or about the response probability. Doubly robust (DR) estimators use both relationships to estimate the parameters of interest, so that they are consistent even when one of the models is misspecified. In this paper, we propose a method of computing propensity scores


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