Datasets often contain identification variables, such as country names, respondent numbers, or other id numbers, codes or abbreviations. Sometimes these are text and sometimes numeric. Often it is not appropriate to include these variables in the imputation model, but it is useful to have them remain in the imputed datasets (However, there are models that would include the ID variables in the imputation model, such as a fixed effects model for data with repeated observations of the same countries). Identification variables not to be included in the imputation model can be identified with the global _AMidvar. These variables will not be used in the imputation model, but will be kept in the imputed datasets.