Abstract
Randall Powers, John Eltinge, and Moon Jung Cho (2006)
"Evaluation of the Detectability and Inferential
Impact of Nonresponse Bias in Establishment
Surveys"
In construction of estimators from survey data, one often encounters
important issues arising from nonresponse. For establishment surveys,
methods to address these issues generally must account for important
features of the sample design and weighting structure. For any given
nonresponse adjustment procedure, an analyst makes implicit or explicit
use of models for the nonresponse phenomenon and the outcome
variables of primary interest. The performance of the adjustment procedure
then depends on the extent to which the data deviate from the
assumed models, the impact of these deviations on estimator bias, and
the inferential power of diagnostics designed to detect these deviations.
This paper presents a simulation study to evaluate trade-offs among the
issues of model deviations, estimator performance and detectability for
establishment surveys.
Last Modified Date: January 9, 2007
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