Weighting Adjustments for Panel Nonresponse
نویسندگان
چکیده
1 Summary Although similar to weighting for unit nonresponse in cross-sectional surveys, adjustment for panel non-response needs to incorporate information about nonrespondents collected in the early waves of the panel. We review different weighting adjustments for panel nonresponse and discuss methods for incorporating complex survey design variables into the weighting adjustments. We propose a cross-classified method for panel survey data with complex sampling design by first grouping respondents and nonrespondents with similar estimated response propensities to form response propensity strata and then cross-classifying the response propensity strata with the design variables. Our simulation study shows that when design variables are not related to nonresponse, the cross-classified method yields survey estimates that have bias and root mean squared error similar to the estimates weighted by reciprocals of the response propensities and the response propensity stratification method. When design variables are related to nonresponse, the cross-classified method yields estimates with smaller bias than both the other two methods if design variables are not included as covariates in the response propensity regression, but is comparable in the bias to the other two methods if the response propensity model is correctly specified. We apply these methods to the Galveston Bay Recovery Study, a panel study of trajectories of wellness in a community following a disaster.
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