situation is the possibility that either the researcher’s complete-data model or the model of the missing-data mechanism is …-data likelihood function when the missing-data mechanism is assumed ignorable. First, we provide sufficient regularity conditions on … simultaneous presence of both missing data and model misspecification. These results are then used to derive robust hypothesis …

database across domains (countries or sectors), assessment of confounding among categorical covariates, missing data, dimension …

In this paper I analyse a series of techniques designed for replacing missing data. From the extensive literature on … contribution. The main disadvantage of the analyses of this model, however, is given by the substandard treatment of the missing … data: listwise deletion. Since statistical theory suggests alternative techniques that offer unbiased estimators, in this …