incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation … procedure called imputation is applied, which uses the available data as a tool for the replacement of the missing values. Two … present the application of the Chain-type factor estimator as a means of source imputation for the non-response units in an …

less data. The choice of survey mode, therefore, involves a potential tradeoff between bias and variance of estimators. I … estimation, in terms of mean-squared error. Overall, this work suggests that such a hybrid design can have considerable benefits …

, several aspects of this topic will be elaborated on: the survey unit nonresponse bias has been examined alternatively by … the components of the bias due to nonresponse will be performed. Nonresponse bias components are illustrated for each … alternative approach and the amount of bias was computed for each case. …

collection. As a result of the bias that non-response sometimes introduces in survey estimates, identifying factors that promote … unit non-response is by weighting adjustment, while item non-responses are handled by some form of imputation. This paper …

, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent … harmonization of (income) data production as well as of imputation strategies across surveys. All three panels make use of … longitudinal information in their respective imputation procedures, however, there are marked differences in the implementation …

Pseudo-panels allow estimation of panel models when only repeated cross-sections are available. This involves grouping … constrained by a lack of consensus on how the pseudo-panels should be formed, particularly to address potential sampling error … bias. We show that grouping can also create substantial aggregation bias, calling into question how well pseudo-panels can …