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SOEP Brown Bag Seminar
This seminar introduces ambiguity, explains why it matters in economics, and discusses how ambiguity attitudes are typically measured in empirical research. Ambiguity plays an important role in decision-making, as most situations in life involve unknown outcomes or probabilities. However, people’s attitudes toward ambiguity are hard to measure precisely, as standard measures based on incentivized...
06.05.2026| Roy Kouwenberg, Mahidol University
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Refereed essays Web of Science
Young people with disability face significant barriers to stable employment. Yet, little is known about how early labor market experiences shape their long-term mental health. This study examines associations between early career insecurity and subsequent mental health trajectories, focusing on disability status as a key axis of inequality. We use nationally representative longitudinal data from the ...
In:
SSM - Population Health
34 (2026), 101912, 14 S.
| Sophia Fauser, Irma Mooi-Recic, Marissa Shields, Zoe Aitken, Anne Kavanagh
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SOEP Brown Bag Seminar
Georeferenced data are often anonymized for data protection reasons. This is done either by aggregating the data into larger spatial units (e.g., higher-level administrative units or grids with larger cell sizes) or by using stochastic methods to deliberately overlay the original coordinates. These methods significantly distort the data and associated variables, making further modeling steps...
29.04.2026| Lorena Gril, Freie Universität Berlin
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SOEP Brown Bag Seminar
Comparisons of educational achievement across cohorts are frequently used to examine changes in educational performance and to evaluate the impact of societal or educational events, such as the COVID-19 pandemic. However, drawing causal inferences from observational data without strong experimental control remains challenging, as often no single clear methodological approach is universally...
27.05.2026| Timo Gnambs, Leibniz Institute for Educational Trajectories (LIfBi)
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Seminar
Multiple imputation of missing values in survey data analysis is a state-of-the-art technique. Typically, methods like multivariate imputation by chained equations (mice, van Buuren 2018) are employed, replacing missing values on a variable-by-variable basis. Generally, the information used for imputation comes from the survey dataset being analysed. Valid analysis results are achieved when the...
23.04.2026| Char Hilgers
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Weitere referierte Aufsätze
FAIRness of research data, meaning that data are managed according to the principles of being Findable, Accessible, Interoperable, and Reusable, has become a ubiquitous requirement in research data policies as well as in general guidelines for research data management. Meeting this requirement largely depends on the availability of rich and standardized DDI metadata—based on the Data Documentation ...
In:
Data Science Journal
25 (2026), 13, S. 1-13
| Knut Wenzig, Andreas Daniel, Dominique Hansen, Tobias Koberg, Mihaela Tudose
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Weitere referierte Aufsätze
Despite the profound impact of artificial intelligence (AI) in diverse contexts, large-scale socio-economic panel studies have rarely addressed the use and evaluation of AI for individual respondents. Therefore, the Artificial Intelligence Experience and Attitude Survey (AIEAS) is introduced to measure awareness, experience, attitude valence, and usage intention regarding AI in the work, healthcare, ...
In:
Psychological Test Adaptation and Development
7 (2026), S. 27–41
| Timo Gnambs, Florian Griese, Sabine Zinn
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Refereed essays Web of Science
Previous research suggests that women tend to self-report higher life satisfaction and happiness, lower health status and trust, and more left-leaning political preferences than men. We revisit the gender gap in these outcome variables using random-effects meta-analysis, aggregating data across 39 countries surveyed in the European Social Survey (n ≈ 500,000). Measured in Cohen’s d units, women, on ...
In:
Scientific Reports
16 (2026), 3406, 12 S.
| Yifan Yang, Magnus Johannesson, Frank Fossen, Levent Neyse, Felix Holzmeister
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Nachrichten [Abteilung SOEP]
In March/April 2026 our online over lunch seminar series returns with one last workshop this year. The workshop provides a comprehensive, practical introduction to the data of the Socio-economic Panel (SOEP) on three Wednesdays during lunchtime. Participants will learn about the study's content, data structure, sample selection, and weighting strategy, along with an overview of the study documentation.
To ...
17.02.2026| Janina Britzke, Cristóbal Moya
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Nachrichten [Abteilung SOEP]
The call for papers for the 16th International German Socio-Economic Panel User Conference is online. SOEP 2026 will take place from July 8-9, 2026, in Berlin, and researchers from all disciplines are invited to submit an abstract. We particularly welcome contributions addressing meta-science, robustness, replicability, reproducibility, and open science. This includes, but is not limited to, studies ...
17.02.2026| Janina Britzke, Levent Neyse