Synthetic data for open and reproducible methodological research in social sciences and official statistics

JP Burgard, JP Kolb, H Merkle, R Münnich - AStA Wirtschafts-und …, 2017 - Springer
Open and reproducible research receives more and more attention in the research
community. Whereas empirical research may benefit from research data centres or scientific …

[PDF][PDF] Variance estimation for complex surveys

C Bruch, R Münnich, S Zins - Deliverable D3, 2011 - uni-trier.de
In the European Statistical System quality reports gain increasingly in importance. Especially
the accuracy measurement of point estimators like totals, means or ratios plays a major role …

[PDF][PDF] Parametric estimation of income distributions and indicators of poverty and social exclusion

M Graf, D Nedyalkova, R Münnich, J Seger… - Research Project Report …, 2011 - uni-trier.de
In the context of the AMELI project, we aim at developing reliable and efficient
methodologies for the estimation of a certain set of indicators of poverty and social exclusion …

[PDF][PDF] The interplay between sampling design and statistical modelling in small area estimation

T Zimmermann - 2018 - ubt.opus.hbz-nrw.de
2 Design-based and model-assisted domain estimation 3 2.1 Concepts in design-based
estimation..................... 3 2.1. 1 Notations and definitions........................ 3 2.1. 2 Planned and …

Simulation and quality of a synthetic close-to-reality employer–employee population

M Templ, P Filzmoser - Journal of Applied Statistics, 2014 - Taylor & Francis
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 …

[PDF][PDF] Methods for sampling and inference with non-probability samples

S Lenau, S Marchetti, R Mnnich, M Pratesi… - Deliverable …, 2021 - inclusivegrowth.eu
Non-probability samples are a topic of growing relevance in academic and applied research
as well as national statistical institutes. This deliverable discusses the major statistical …

Impact of sampling designs in small area estimation with applications to poverty measurement

JP Burgard, R Münnich… - Analysis of poverty data …, 2016 - Wiley Online Library
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 …

Monte-Carlo simulation studies in survey statistics: An appraisal

JP Burgard, P Dörr, RT Münnich - 2020 - econstor.eu
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 …

Estimation of a proportion in survey sampling using the logratio approach

K Hron, M Templ, P Filzmoser - Metrika, 2013 - Springer
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 …

Robust, distribution-free inference for income share ratios under complex sampling

B Hulliger, T Schoch - AStA Advances in Statistical Analysis, 2014 - Springer
The quintile share ratio of disposable income is the primary inequality indicator of the
European Union. As an inequality indicator, it must be sensitive to extreme large …