Qualitativ hochwertige Daten sind der Schlüssel dazu, die aktuelle Situation während einer Pandemie zu verstehen. Eine Simulation zur COVID-19-Pandemie zeigt, dass die Datenstrategie zur Erfassung von Infektionszahlen von der Prävalenz abhängt. Ist die Prävalenz nahe Null, liefert ein...

Using an artefactual field experiment, we elicit revealed preferences for solidarity of different age groups towards the same and other age groups among a large and heterogeneous sample of the Dutch population. Preferences are elicited with a solidarity game and linked to a rich and unique...

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

Using an artefactual field experiment, we elicit revealed preferences for solidarity of different age groups toward the same and other age groups among a large, diverse Dutch population sample. Preferences are measured with a solidarity game and linked to a unique administrative database,...

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...

Bessel's correction adjusts the denominator in the sample variance formula from n to n − 1 to produce an unbiased estimator for the population variance. This paper includes rigorous derivations, geometric interpretations, and visualizations. It then introduces the concept of "bariance," an...

Purpose - The authors' conclusions are based on mathematical derivations that are supported by computer simulations and three worked examples in applications of economics and finance. Finally, the authors provide a link to a computer program so that researchers can perform the analyses easily....

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...

Qualitativ hochwertige Daten sind der Schlüssel dazu, die aktuelle Situation während einer Pandemie zu verstehen. Eine Simulation zur COVID-19-Pandemie zeigt, dass die Datenstrategie zur Erfassung von Infektionszahlen von der Prävalenz abhängt. Ist die Prävalenz nahe Null, liefert ein...

This paper introduces a novel approach to simulation smoothing for nonlinear and non-Gaussian state space models. It allows for computing smoothed estimates of the states and nonlinear functions of the states, as well as visualizing the joint smoothing distribution. The approach combines...

By comparing the Bundesbank's BOP-HH and the ECB's CES-ECB household panel surveys focusing on inflation perceptions and expectations with omnibus surveys conducted in Germany in December 2021 and 2022, this paper examines potential sample selection bias stemming from (i) individuals'...

The lack of a workable and accurate national sampling frame is one of the methodological constraints in conducting representative national surveys. It undermines policy and research efforts in many developing countries, particularly those experiencing significant internal displacement and...

Sample selection is pervasive in applied economic studies. This paper develops semiparametric selection models that achieve point identification without relying on exclusion restrictions, an assumption long believed necessary for identification in semiparametric selection models. Our...

We propose a flexible, extensible family of distributions for testing Markov Chain Monte Carlo implementations. Distributions are created by nesting simple transformations, which allow various shapes, including multiple modes and fat tails. The resulting distributions can be sampled with high...

This paper introduces a novel multivariate composite estimator for the Labour Force Survey (LFS). Unlike the univariate composite estimators used in some countries, the multivariate estimator takes into account the different probabilities of transitioning between labour market categories, such...

The aim is to identify gaps in the monitoring network for Ireland according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Ireland for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Malta according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Malta for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Czechia according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Czechia for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Belgium according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Belgium for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Bulgaria according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Bulgaria for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Austria according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Austria for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The assessment looks into to which extent the current air quality monitoring network in the Member States already complies with the requirements of the revised Ambient Air Quality Directive (EU)2024/2881, with the aim to identify gaps that the Member States would need to address to comply with...

The aim is to identify gaps in the monitoring network for Sweden according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Sweden for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Portugal according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Portugal for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Croatia according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Croatia for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Lithuania according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Lithuania for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Romania according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Romania for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Spain according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Spain for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Slovenia according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Slovenia for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Slovakia according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Slovakia for the last five years (2019-2023) to EEA's Repornet2. Data has...

The aim is to identify gaps in the monitoring network for Hungary according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Hungary for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Greece according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Greece for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Poland according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Poland for the last five years (2019-2023) to EEA's Repornet2. Data has been...

The aim is to identify gaps in the monitoring network for Netherlands according to the revised Ambient Air Quality Directive (Directive (EU) 2024/2881). The analysis is conducted considering the data officially reported by Netherlands for the last five years (2019-2023) to EEA's Repornet2. Data...