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 …

capacity constraints resulting in significant recall bias. We offer the first study that employs a less-costly, imputation … that parsimonious imputation models based on small samples of a benchmark weekly in-person survey can offer reasonably … accurate estimates. Furthermore, we also show how less accurate, but also less resource-intensive, imputation-based measures …

capacity constraints resulting in significant recall bias. We offer the first study that employs a less-costly, imputation … that parsimonious imputation models based on small samples of a benchmark weekly inperson survey can offer reasonably … accurate estimates. Furthermore, we also show how less accurate, but also less resource-intensive, imputation-based measures …