research
Multiple imputation of missing values in the wave 2007 of the IAB Establishment Panel
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Abstract
"The basic concept of multiple imputation is straightforward and easy to understand, but the application to real data imposes many implementation problems. To define useful imputation models for a dataset that consists of categorical and of continuous variables with distributions that are anything but normal, contains skip patterns and all sorts of logical constraints is a challenging task. In this paper, we review different approaches to handle these problems and illustrate their successful implementation for a complex imputation project at the German Institute for Employment Research (IAB): The imputation of missing values in one wave of the IAB Establishment Panel." (Author's abstract, IAB-Doku) ((en))Missing Data-Technik, Datenqualität, IAB-Betriebspanel, statistische Methode, Imputationsverfahren