The definition and operationalization of wealth information in population surveys and the corresponding microdata requires a wide range of more or less normative assumptions. However, the decisions made in both the pre- and post-data-collection stage may interfere consid-erably with the substantive research question. Looking at wealth data from the German SOEP, this paper focuses on the impact of ...
2007| Joachim R. Frick, Markus M. Grabka, Eva M. Sierminska
Statistical Analysis in surveys is generally facing missing data. In longitudinal studies for some missing values there might be past or future data points available. The question arises how to successfully transform this advantage into improvedimputation strategies. In a simulation study the authors compare six combinations of cross‐sectional and longitudinal imputation strategies for German wealth ...
The definition and operationalization of wealth information in population surveys and the corresponding microdata requires a wide range of more or less normative assumptions. However, the decisions made in both the pre- and post-data-collection stage may interfere considerably with the substantive research question. Looking at wealth data from the German SOEP, this paper focuses on the impact of collecting ...
2007| Joachim R. Frick, Markus M. Grabka, Eva M. Sierminska
SOEP Survey Papers ; 272 : Series C - Data Documentations (Datendokumentationen) / 2015