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...

Die statistische Analyse mittels Fernrechnen (Remote Access bzw. Remote Execution) bietet die Möglichkeit, die Mikrodaten in originaler Form zu verwenden. Allerdings ist dabei zu beachten, daß bestimmte statistische Prozeduren, etwa die Verwendung bestimmter Schein-Variablen (dummy variables,...

Eine Methode, um die Vertraulichkeit von Daten, die in statistischen Ämtern erhobenen werden, zu gewährleisten, ist das Ersetzen vertraulicher Werte durch synthetische Daten, die mittels multipler Imputation generiert werden. Es wird ein zweistufiges Verfahren zur Generierung der synthetischen...

Questions on income in surveys are prone to two sources of errors that can cause bias if not addressed adequately at the analysis stage. On the one hand, income is considered sensitive information and response rates on income questions generally tend to be lower than response rates for other...

Most strategies for causal inference based on quasi-experimental or observational data critically rely on the assumption of unconfoundedness. If this assumption is suspect, sensitivity analysis can be a viable tool to evaluate the impact of confounding on the analysis of interest. One of the...