reliability and the effectiveness of different correction rules for information about educational degrees as reported in German …

implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil … and Uganda both for the mean values and the entire distributions of these indicators based on multiple imputation (MI …) methods. Machine learning methods also perform well but mostly for the mean values. Furthermore, our imputation models can be …

implement high-quality surveys on soil. We offer an alternative, low-cost imputation-based approach to generating various soil … and Uganda both for the mean values and the entire distributions of these indicators based on multiple imputation (MI …) methods. Machine learning methods also perform well but mostly for the mean values. Furthermore, our imputation models can be …

, 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 …

exposure index that quantifies social contact within venues. We also investigate the reliability of smartphone movement data …