This paper presents a distribution-free test, based on the permutation approach, on treatment effects with a multivariate categorical response variable. The motivating example is a typical case-control biomedical study, performed to investigate the effect of the treatment called "assisted motor...

In statistical analysis, evaluating the normality of large datasets is crucial for validating parametric tests, particularly in areas such as Global Navigation Satellite System (GNSS) measurements, where data often exhibit non-normal characteristics resulting from their variability and errors....

Model misspecification in multivariate econometric models can strongly influence estimates of quantities of interest such as structural parameters, forecast distributions or responses to structural shocks, even more so if higher-order forecasts or responses are considered, due to parameter...

The present 2025 annual report focuses on selected issues that are of relevance and concern to the production of European statistics and have implications for the implementation of the European Statistics Code of Practice (ESCoP) in the European Statistical System (ESS). These issues pertain to...

Modeling loss data is a crucial aspect of actuarial science. In the insurance industry, small claims occur frequently, while large claims are rare. Traditional heavy-tail distributions, such as Weibull, Log-Normal, and Inverse Gaussian distributions, are not suitable for describing insurance...

This paper studies linear time‐series regressions with many regressors. Weak exogeneity is the most used identifying assumption in time series. Weak exogeneity requires the structural error to have zero conditional expectation given present and past regressor values, allowing errors to...

How efficiently do scientific results make their way into the wider world? Applying multiple methods to the universe of hypothesis tests reported in three leading health journals between 2016 and 2022 we evidence the important role of statistical significance as a driver of popular attention to...

How efficiently do scientific results make their way into the wider world? Applying multiple methods to the universe of hypothesis tests reported in three leading health journals between 2016 and 2022 we evidence the important role of statistical significance as a driver of popular attention to...

The She Figures 2024 Policy Report complements the She Figures 2024 main study by providing an in-depth analysis of key issues relating to gender equality in research and innovation (R&I). While the main study presents comprehensive gender statistics in R&I, the Policy Report expands on these...

The She Figures Handbook (2024) provides methodological guidance on the calculation of indicators included in the She Figures 2024 publication. It is intended to strengthen the capacity of stakeholders to systematically produce meaningful, systematic data on gender in research and innovation....

Key figures on the EU in the world provides a statistical portrait of the European Union in relation to other parts of the world. It's structured into 3 chapters: people and society, the economy and trade, and the environment and natural resources. This publication complements 2 of Eurostat's...

This document summarizes the global process of designing geotechnical structures, as given in the 2nd Generation EN 1997, and highlights the step where the designer must determine representative values for limit state verifications based on ground investigation data. This guideline explains the...

Key figures on the EU in the world provides a statistical portrait of the European Union in relation to other parts of the world. It's structured into 3 chapters: people and society, the economy and trade, and the environment and natural resources. This publication complements 2 of Eurostat's...

The Statistical Requirements Compendium (SRC), published by Eurostat, serves as a reference document for the EU acquis in statistics. It summarises the key reference information for European statistical production, taking into account new legislation and other developments relevant for European...

Spatial unit roots can lead to spurious regression results. We present a brief overview of the methods developed in M¨uller and Watson (2024) to test for and correct for spatial unit roots. We also introduce a suite of Stata commands (-spur-) implementing these techniques. Our commands exactly...