We use small-area estimation methods that combine information from a household budget survey, a much larger survey of local demographics and employment, and area-level information on bank account outflows and energy consumption to estimate average equivalised consumption measures across 367...

This paper provides details on the sampling design, the fieldwork, as well as nonresponse and population adjustments for the 2024 sample M10 of the IAB-SOEP-Migration survey. The survey is conducted in cooperation between the Institute for Employment Research (IAB) and the Socio-Economic Panel...

Sample S is the 2024 refreshment sample of the SOEP-Core. We applied a stratified two-stage cluster sampling design to draw a sample of anchor persons from the German population register. The sample adds 5,314 new households to the panel. Potential selectivity in participation is corrected by...

The key assumption of normally distributed error terms is usually not tested in empirical practice when using ordered probit models. Therefore, an artificial regression version of the LM test against the class of Pearson distributions is derived that can be implemented more easily than the...

This report provides details on the sampling design, the fieldwork, as well as nonresponse and population adjustments for the 2024 sample M8d of the IAB-SOEP-Migration Survey. The survey is conducted in cooperation between the Institute for Employment Research (IAB) and the Socio-Economic Panel...

This paper makes the case for measuring economic activity in real time in a middle-income setting using indicators alternative to the standard System of National Accounts measure of gross domestic product (GDP). GDP remains indispensable, yet its limits as a welfare proxy are amplified where...

Sample R is a refreshment sample of the SOEP-Core. We apply a stratified two-stage sampling design to draw a sample of anchor persons from the population register. We oversample former lignite mining regions (brown coal) all over Germany as well as the younger part of the general population aged...

This paper provides details on the sampling design, the fieldwork, as well as nonresponse and population adjustments for the 2022 sample M8b. The survey is conducted in cooperation between the Institute for Employment Research (IAB) and the Socio-Economic Panel (SOEP). Sample M8b contributes to...

Measurement errors in macroeconomic aggregates such as GDP have been widely lamented, particularly in low-income contexts. This study investigates the reliability of one component of national accounts, agricultural sector output. Focusing first on the case of Mozambique, we use a series of 12...

Commission Decision of 25 February 2016 setting up a Scientific, Technical and Economic Committee for Fisheries, C(2016) 1084, OJ C 74, 26.2.2016, p. 4-10. The Commission may consult the group on any matter relating to marine and fisheries biology, fishing gear technology, fisheries economics,...

This compilers' manual is meant to serve as a practical reference document for all national statistical authorities involved in the compilation of EU statistics on trade in goods by invoicing currency (TIC). As such, it provides the necessary definitions and practical instructions regarding the...

This compilers' manual is meant to serve as a practical reference document for all National Statistical Authorities involved in the compilation of aggregated data on EU international trade in goods statistics. As such, it provides the necessary definitions and practical instructions regarding...

Probabilistic editing has been introduced to enable valid inference using established survey sampling theory in situations when some of the collected data points may have measurement errors and are therefore submitted to an editing process. To reduce the editing effort and avoid over-editing, in...

Recent rises in macroeconomic volatility have prompted the introduction of quantile vector autoregression (QVAR) models to forecast macroeconomic risk. This paper provides an extensive evaluation of the predictive performance of QVAR models in a pseudo-out-of-sample experiment spanning 112...

Agent-based models (ABMs) are gaining increasing traction in several domains, due to their ability to represent complex systems that are not easily expressible with classical mathematical models. This expressivity and richness come at a cost: ABMs can typically be analyzed only through...

This paper outlines the sampling and weighting process for the M9 sample, an augmentation sample for the IAB-BAMF-SOEP Survey of Refugees. It augments the samples M3, M4, M5, and M6 with refugees entering Germany between January 1, 2017, and the August 31, 2022. It also adds refugees from...

Occupational mobility and its relation with economic fundamentals is obscured by mistakes when assigning occupational codes. We correct ("de-garble") occupation patterns, using the heterogeneous probabilities with which a worker in a certain occupation appears as working in another. This leads...

This article is an excerpted chapter from a research handbook on inflation in which we document measurement issues in the compilation of consumer price indexes. From defining the conceptual target to sampling, repricing, and aggregating the data, there are numerous issues that arise. In this...

In this paper, we describe an attempt made to develop an efficient disclosure control algorithm for microdata in a statistical portal used for releasing detailed statistical information at various levels of spatial aggregation. The proposed algorithm is based on perturbative methods, such as...

Unpaid domestic work is the main part of non-market household production which is not covered by national statistics (GDP). The monetary value of unpaid work is identified within the gross value added (GVA), which is 60-80% of (the invisible) non-market household production. GVA of unpaid work...

In this article, new ratio regression type estimators with imputation have been proposed as means to overcome the problem of missing data relating to a studied variable in a sample survey. It has been shown that the suggested estimators are more efficient than the mean method of imputation, the...

We propose a new way to obtain identification results using order statistics as finite mixtures with two key properties: i) the weights are known integer numbers; and ii) the elements of the mixture are the distributions of the maximum over a subset of the original random variables. We leverage...

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....

Data is an essential fuel for artificial intelligence (AI) to power the underlying machine learning (ML) algorithms. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data collection, which can ultimately lead to reduced...

Tackling discrimination in earnings between men and women is one of the key priorities of gender policies at both the EU and national levels. The unadjusted gender pay gap (GPG), which is calculated as the relative difference between the average earnings of women and men, is widely used as the...

The European Innovation Scoreboard (EIS) is a multidimensional monitoring framework providing a comparative assessment of the research and innovation performance of the EU27 as well as 12 neighbouring countries, their global partners, and the relative strengths and weaknesses of their research...

In January/February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of Malawi against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The mission was undertaken as part of a project to strengthen the quality of public sector debt in...

The Theory publication and the companion on the practice of compiling consumer price indices (CPIs) is jointly published by the member agencies of the Inter-Secretariat Working Group on Price Statistics (IWGPS): the Statistical Office of the European Union (Eurostat), the International Labour...

In February 2025, an assessment was undertaken of the data quality of the public sector debt statistics (PSDS) of the Republic of Zimbabwe against the IMF's Data Quality Assessment Framework (DQAF) for PSDS. The assessment was undertaken as part of a project to strengthen the quality of public...

This document provides recommendations for the statistical recording of capacity allocation and balancing markets, which are crucial for addressing deviations between supply and demand in electricity markets. It also includes guidance on transactions related to the electricity congestion income...

The Agricultural Sector Resilience Progress Indicator (I.9) is an innovative multidimensional composite indicator that evaluates the status and progress of various factors impacting agricultural resilience in EU27 countries, particularly in response to climate change. I.9 serves as a novel tool...

Die Erhebung der leichten Nutzfahrzeuge, die in diesem Bericht oft als «Lieferwagen» bezeichnet werden, ist eine Erhebung des Bundesamtes für Statistik. Nach 2013 wurde sie im Jahr 2023 erneut als Stichprobenerhebung durchgeführt. Dieser Methodenbericht beschreibt die verwendeten...

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...