The overall goal of the report is to increase the capacity of researchers and policy makers to identify comparatively, and across time, how individuals, households and communities are affected by violent conflict. The report provides an extensive overview of existing practices and datasets used...

Like other data quality dimensions, the concept of accuracy is often adopted to characterise a particular data set. However, its common specification basically refers to statistical properties of estimators, which can hardly be proved by means of a single survey at hand. This ambiguity can be...

Using data on annual individual labor income from three representative panel datasets (German SOEP, British BHPS, Australian HILDA) we investigate a) the selectivity of item non-response (INR) and b) the impact of imputation as a prominent post-survey means to cope with this type of measurement...

This paper delivers new insights into the development of income inequality and regional stratification in Germany after unification using a new method for detecting social stratification by a decomposition of the GINI index which yields the obligatory between- and withingroup components as well...

In den Sozial- und Wirtschaftswissenschaften besteht ohne die Moeglichkeit einer Re-Analyse von statistischen Ergebnissen (gleichermaßen amtlichen wie nicht-amtlichen) die Gefahr von nicht entdeckten Irrtuemern. Mit anderen Worten: Re- Analysen sind in der Wissenschaft die "Berufungsinstanz",...

Population surveys around the world face the problem of declining cooperation and participation rates of respondents. Not only can item nonresponse and unit nonresponse impair important outcome measures for inequality research such as total household disposable income; there is also a further...

In January 2009 Germany introduced incentive regulation for the electricity distribution sector based on results obtained from econometric and nonparametric benchmarking analysis. One main problem for the regulator in assigning the relative efficiency scores are unobserved firm-specific factors...

Incomplete data is a common problem of survey research. Recent work on multiple imputation techniques has increased analysts' awareness of the biasing effects of missing data and has also provided a convenient solution. Imputation methods replace non-response with estimates of the unobserved...