Adaptive Design Strategies for Nonresponse Follow-Up in Economic Surveys

Kaputa Stephen J. () and Thompson Katherine J. ()
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Kaputa Stephen J.: U.S. Census Bureau, Economic Statistical Methods Division, 4600 Silver Hill Road, Washington, DC20233, U.S.A.
Thompson Katherine J.: U.S. Census Bureau, Economic Statistical Methods Division, 4600 Silver Hill Road, Washington, DC20233, U.S.A.

Journal of Official Statistics, 2018, vol. 34, issue 2, 445-462

Abstract: The U.S. Census Bureau is investigating nonrespondent subsampling strategies for use in the 2017 Economic Census. In previous research, we developed an optimized allocation procedure for subsampling nonrespondents that selects larger systematic samples in domains with lower initial response. This article expands on our previous research by exploring improvements to the optimal allocation method; we investigate refinements to the previous procedure that incorporate measures of respondent balance with respect to the original sample. The revised allocation procedures have simultaneous objectives of allocating high proportions of sample in domains that indicate potential nonresponse bias and of equalizing response rates across domains. We examine the effects of the alternative allocation approaches on Horvitz-Thompson estimates via a simulation study using data from the 2014 Annual Survey of Manufactures.

Keywords: Adaptive design; nonresponse subsampling; optimal allocation (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:offsta:v:34:y:2018:i:2:p:445-462:n:8

DOI: 10.2478/jos-2018-0020

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