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...
Der englische Originaltitel des Seminars lautet: “Measuring Ambiguity Attitudes Reliably in Surveys”. Die Präsentation findet auf Englisch statt.
Eine kurze Zusammenfassung zum Vortrag ist nur auf der englischen Veranstaltungsseite verfügbar!
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
Research shows that concurrent and sequential self-administered mixed-mode designs both have advantages and disadvantages in terms of panel survey recruitment and maintenance. Since concurrent mixed-mode designs usually achieve higher initial response rates at lower bias than sequential mixed-mode designs, the former may be ideal for panel recruitment. However, concurrent designs produced high share ...
In:
Social Science Computer Review
(2026), im Ersch. [online first: 2025-11-29]
| Carina Cornesse, Julia Witton, Julian B. Axenfeld, Jean-Yves Gerlitz, Olaf Groh-Samberg
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...
Der englische Originaltitel des Seminars lautet: “Measurement error models on anonymized georeferenced data”. Die Präsentation findet auf Englisch statt.
Eine kurze Zusammenfassung zum Vortrag ist nur auf der englischen Veranstaltungsseite verfügbar!
Der englische Originaltitel des Seminars lautet: “Methodological Challenges in Cross-Cohort Comparisons of Educational Achievement”. Die Präsentation findet auf Englisch statt.
Eine kurze Zusammenfassung zum Vortrag ist nur auf der englischen Veranstaltungsseite verfügbar!
27.05.2026| Timo Gnambs, Leibniz-Institut für Bildungsverläufe(LIfBi)
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)
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...
Der englische Originaltitel des Seminars lautet: “Filling in the Blanks: Augmenting Survey Data Imputation with an External Prior”. Die Präsentation findet auf Englisch statt.
Eine kurze Zusammenfassung zum Vortrag ist nur auf der englischen Veranstaltungsseite verfügbar!