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Providing double protection for unit nonresponse with a nonlinear calibration-weighting routine

Doppelter Schutz bei Nichtbeantwortungsanteilen mittels nonlinearer kalibrierter Abwägungsroutine
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Kott, Phillip S.; Liao, Dan

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Abstract "Given a randomly drawn sample, calibration weighting can provide double protection against the selection bias resulting from unit nonresponse. This means that if either an assumed linear prediction model or an implied unit selection model holds, the resulting estimator will be asymptotically unbiased in some sense. The functional form of the selection model when using linear alibration adjustment is dubious. The authors discuss an alternative, nonlinear calibration-weighting procedure and software that can, among other things, implicitly estimate a logistic-response model." (author's abstract)
Keywords research; method; methodological research; data; data preparation; data organization; data quality; response behavior; quantitative method
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language English
Publication Year 2012
Page/Pages p. 105-111
Journal Survey Research Methods, 6 (2012) 2
ISSN 1864-3361
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications