Germany

One size fits all? The interplay of incentives, effort provision, and personality
Incentives are supposed to increase effort, yet individuals react differently to incentives. We examine this heterogeneity by …
Zvonimir Bašić, Stefania Bortolotti, Daniel Salicath, Stefan Schmidt, Sebastian O. Schneider, Matthias Sutter
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Risk Preferences and Field Behavior: The Relevance of Higher-Order Risk Preferences - Seminar Talk @ University of Amsterdam
On Thursday, May 11, I’ll be presenting our paper at the CREED Seminar series - If you’re interested and happen to be around, come and join the talk!
May 11, 2023 4:00 PM E building
Sebastian O. Schneider, Matthias Sutter
Financial literacy, experimental preference measures and field behavior – A randomized educational intervention
We present the results of a randomized intervention to study how teaching financial literacy to 16-year old high-school students …
Matthias Sutter, Michael Weyland, Anna Untertrifaller, Manuel Froitzheim, Sebastian O. Schneider
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Higher Order Risk Preferences: New Experimental Measures, Determinants and Field Behavior
We present and use a novel method to elicit and measure the intensities of higher order risk preferences (prudence and temperance) in …
Sebastian O. Schneider, Matthias Sutter
PDF Supplementary Material Supplementary Material (2024)
Higher Order Risk Preferences: New Experimental Measures, Determinants and Field Behavior
Addressing Validity and Generalizability Concerns in Field Experiments
In the context of a real-world recruitment experiment with 3,305 public schools, we systematically analyze the empirical importance of …
Gerhard Riener, Sebastian O. Schneider, Valentin Wagner
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Higher Order Risk Preferences: Experimental Measures, Determinants and Field Behavior - Talk @ iHEA 2021
Please find the corresponding working paper here! Thanks to Arthur Attema for organizing the session, and to Stefan Lipann and Daniel Wiesen for chairing the session and discussing the presentations.
Jul 14, 2021
Sebastian O. Schneider, Matthias Sutter
Rerandomization to Improve Covariate Balance by Minimizing the MSE of a Treatment Effect Estimator
We present a new approach to treatment assignment in (field) experiments for the case of one or multiple treatment groups. This …
Sebastian O. Schneider, Martin Schlather
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