It is of essential importance that researchers have access to linked employer–employee
data, but such data sets are rarely available for researchers or the public. Even in case that …

Modern surveys aim at fostering accurate information on demographic and other variables.
The necessity for providing figures on regional levels and on a variety of subclasses leads to …

Synthetic data generators are widely utilized to produce synthetic data, serving as a
complement or replacement for real data. However, the utility of data is often limited by its …

Innovations in statistical methodology is often accompanied by Monte-Carlo studies. In the
context of survey statistics two types of inferences have to be considered. First, the classical …

The estimation of a mean of a proportion is a frequent task in statistical survey analysis, and
often such ratios are estimated from compositions such as income components, wage …

Classical sampling theory addresses the effect of different sampling designs consisting of a
sampling method and estimation technique, on the efficiency of the estimation of a …

A full benchmarking system is important to monitor policy performance and the impact of
European strategies on progress. This holds for the Lisbon strategy as well as for the Europe …

Among the various application fields of the pseudo-population concept in statistical surveys,
the area of methods for statistical disclosure control (SDC) is exceptional in a certain sense …

When questions on sensitive subjects, such as harassment at work, domestic violence,
illegal employment, number of abortions, income, or voting behavior, are asked by direct …

Classical sampling theory considers only sampling errors and the effects of different
sampling designs on this type of errors. Therefore, it can be said to be a pure full response …