There are three reasons why estimation of parametric income distributions may be useful
when empirical data and estimators are available: to stabilize estimation; to gain insight into …

Microsimulations make use of quantitative methods to analyze complex phenomena in
populations. They allow modeling socioeconomic systems based on micro-level units such …

Bei synthetischen Simulationsgesamtheiten handelt es sich um künstliche Daten, die zur
Nachbildung von realen Phänomenen in Simulationen verwendet werden können …

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 …

Model‐based methods, such as small area estimators, have to be considered for improving
the accuracy of the statistics of interest. This chapter examines a study whose aim is to …

Purpose–The purpose of this study is to show the importance of adequately considering
quality measures within the use of composite indicators (CIs). Policy support often relies on …

When two surveys carried out separately in the same population have common variables, it
might be desirable to adjust each survey's weights so that they give equal estimates for the …

The aim of the AMELI project is it to develop advanced methodology for measuring poverty
and social cohesion in Europe. To do so, extensive simulation is used to evaluate the …

In this paper, we propose a method that estimates the variance of an imputed estimator in a
multistage sampling design. The method is based on the rescaling bootstrap for multistage …

Non-probability sampling is a topic of growing relevance in national statistical institutes as
well as academic and applied research, especially due to its occurrence in the context of …