11 to 20 of 27 Results
Dec 20, 2016 - AWI Experimental Economics
Krawczyk, Michal; Trautmann, Stefan T.; van de Kuilen, Gijs, 2016, "Catastrophic Risk: Social Influences on Insurance Decisions [Dataset]", https://doi.org/10.11588/data/10096, heiDATA, V1
We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choic... |
Feb 6, 2017 - AWI Experimental Economics
Trautmann, Stefan T.; Van de Kuilen, Gijs, 2017, "Process fairness, outcome fairness, and dynamic consistency: experimental evidence for risk and ambiguity [Dataset]", https://doi.org/10.11588/data/10097, heiDATA, V1
Literature on fairness preferences distinguishes between outcome fairness, concerning the final allocation of payoffs, and process fairness, concerning the expected allocation of payoffs. It is not obvious, however, whether process fairness can consistently be implemented. Once u... |
König-Kersting, Christian; Trautmann, Stefan T., 2017, "Countercyclical Risk Aversion: Beyond Financial Professionals [Online Appendix and Replication Package]", https://doi.org/10.11588/data/HLGUFF, heiDATA, V3, UNF:6:uf5BEfv2apPfRJhp2qW+Kw== [fileUNF]
We test if Cohn et al.’s (2015) experimental results on countercyclical risk aversion exhibited by financial professionals generalize to a standard student sample. In our sample, we do not find an effect of stock market bust or boom on subjects’ investments. We do not find a syst... |
Trautmann, Stefan T.; Wakker, Peter P., 2018, "Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]", https://doi.org/10.11588/data/HNN1FW, heiDATA, V1
The Anscombe-Aumann (AA) model, originally introduced to give a normative basis to expected utility, is nowadays mostly used for another purpose: to analyze deviations from expected utility due to ambiguity (unknown probabilities). The AA model makes two ancillary assumptions tha... |
Kirchmaier, Isadora; Jens Prüfer; Trautmann, Stefan T., 2018, "Religion, moral attitudes and economic behavior [Dataset]", https://doi.org/10.11588/data/PJ8CJU, heiDATA, V1, UNF:6:MuyPmqfxkF5LETTP7Zp3OA== [fileUNF]
Using data for a representative sample of the Dutch population with information about participants’ religious background, we study the association between religion and moral behavior and attitudes. We find that religious people are less accepting of unethical economic behavior (e... |
Kocher, Martin G.; Schindler, David; Trautmann, Stefan T.; Xu, Yilong, 2018, "Risk, time pressure, and selection effects [Dataset]", https://doi.org/10.11588/data/GBKK4O, heiDATA, V1, UNF:6:pP3XUM9b1UVsjEaoU0RTig== [fileUNF]
Time pressure is a central aspect of economic decision making nowadays. It is therefore natural to ask how time pressure affects decisions, and how to detect individual heterogeneity in the ability to successfully cope with time pressure. In the context of risky decisions, we ask... |
Dengler, Sebastian; Gerlagh, Reyer; Trautmann, Stefan T.; van de Kuilen, Gijs, 2019, "Climate policy commitment devices [Dataset]", https://doi.org/10.11588/data/R8HGIB, heiDATA, V1, UNF:6:G5JiC8JlmlC3TYlJ68qogw== [fileUNF]
We develop a dynamic resource extraction game that mimics the global multi-generation planning problem for climate change and fossil fuel extraction. We implement the game under different conditions in the laboratory. Compared to a baseline condition, we find that policy interven... |
Jan 29, 2019 - AWI Experimental Economics
Trautmann, Stefan T., 2019, "Distance from a Distance: The Robustness of Psychological Distance Effects [Dataset]", https://doi.org/10.11588/data/0HJW2A, heiDATA, V1, UNF:6:Rk3oq4gQ95R1nr48tgqV+Q== [fileUNF]
Psychological distance effects have attracted the attention of behavioral economists in the context of descriptive modeling and behavioral policy. Indeed, psychological distance effects have been shown for an increasing number of domains and applications relevant to economic deci... |
Trautmann, Stefan T.; Kuilen, Gijs van de, 2014, "Belief Elicitation: A Horse Race among Truth Serums [Dataset]", https://doi.org/10.11588/data/10004, heiDATA, V3, UNF:5:rdLqOxsqtpO3QKanCTJFPw== [fileUNF]
We pit non-incentivized introspection against five revealed preference mechanisms (“truth serums”) in the elicitation of beliefs in a simple two-player game. We measure the additivity, the predictive power for own behaviour, and the accuracy of each method. Beliefs from incentivi... |
König-Kersting, Christian; Pollmann, Monique; Potters, Jan; Trautmann, Stefan T., 2020, "Good decision vs. good results: Outcome bias in the evaluation of financial agents [Dataset]", https://doi.org/10.11588/data/HQW24W, heiDATA, V1, UNF:6:bFbob63euOZqXO04dtgSBQ== [fileUNF]
We document outcome bias in situations where an agent makes risky financial decisions for a principal. In three experiments, we show that the principal’s eval- uations and financial rewards for the agent are strongly affected by the random outcome of the risky investment. This ha... |
