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11 to 20 of 34 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...
Jan 18, 2017 - Cluster of Excellence - Asia and Europe in a Global Context
Ettmueller, Eliane Ursula; Arnold, Matthias; Alisch, Johannes; Sassani, Nina; Kempf, Florian; Harder, Hans, 2017, "The Abou Naddara Collection - James Sanua's complete works", https://doi.org/10.11588/data/10076, heiDATA, V1
Access to James Sanua's journal publications and his extensive oeuvre has hitherto been difficult. Therefore, the journalistic and artistic material of the Paris-exiled Egyptian nationalist has hardly received the degree of scholarly attention it actually deserves. Nevertheless,...
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...
Dec 19, 2017 - AWI Experimental Economics
Kocher, Martin G.; Lahno, Amrei Marie; Trautmann,Stefan T., 2017, "Ambiguity aversion is not universal [Dataset]", https://doi.org/10.11588/data/BU56YA, heiDATA, V1
Assuming universal ambiguity aversion, an extensive theoretical literature studies how ambiguity can account for market anomalies from the perspective of expected utility-based theories. We provide a systematic experimental assessment of ambiguity attitudes in different likelihoo...
Apr 18, 2018 - AWI Experimental Economics
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...
May 18, 2018 - Institute of Pathology Mannheim
Cleo-Aron Weis, 2018, "Histopathology of thymectomy specimens from the MGTX-trial", https://doi.org/10.11588/data/NWE2JJ, heiDATA, V1, UNF:6:Od2UlnHG3ctanb4ikzIx4g== [fileUNF]
Background: The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) [1] underwent rigid and comprehensive work-up, which results in a unique, spatially mapped dataset. Fig. 1 Specimen work-up: Work-up...
May 20, 2018 - AWI Experimental Economics
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...
Jun 22, 2018 - Psychological Research Methods
Voss, Andreas; Mertens, Ulf K.; Radev, Stefan T., 2018, "Learning the Likelihood: Using DeepInference for the Estimation of Diffusion-Model and Lévy Flight Parameters [Dataset]", https://doi.org/10.11588/data/HY4OBJ, heiDATA, V1
In the corresponding paper, we use the recently develop DeepInference architecture as a general likelihood-free method to estimate parameters of cognitive models. DeepInference is a machine-learning algorithm based on the training of convolutional neural networks. In a first step...
Oct 9, 2018 - Cluster of Excellence - Asia and Europe in a Global Context
Sablin, Ivan; Kuchinskiy, Aleksandr; Korobeinikov, Aleksandr; Mikhaylov, Sergey; Kudinov, Oleg; Kitaeva, Yana; Aleksandrov, Pavel; Zimina, Maria; Zhidkov, Gleb, 2015, "Transcultural Empire: Geographic Information System of the 1897 and 1926 General Censuses in the Russian Empire and Soviet Union", https://doi.org/10.11588/data/10064, heiDATA, V3
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is informatio...
Nov 27, 2018 - Diagnostic and Interventional Radiology
Triphan, Simon, 2018, "Perfusion quantification data for "Towards Quantitative Perfusion MRI of the Lung in COPD: The Problem of Short-Term Repeatability"", https://doi.org/10.11588/data/ZPEZPX, heiDATA, V1, UNF:6:SE0iKbhWdsMOrcUkd706AA== [fileUNF]
ABSTRACT Purpose 4D perfusion magnetic resonance imaging (MRI) with intravenous injection of contrast agent allows for a radiation-free assessment of regional lung function. It is therefore a valuable method to monitor response to treatment in patients with chronic obstructive pu...
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