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61 to 70 of 132 Results
MWI_AG_ThomasKlein(Universität Heidelberg)
Aug 10, 2020
Jun 17, 2019 - AWI Experimental Economics
Becker, Christoph; Kirchmaier, Isadora; Trautmann, Stefan, 2019, "Marriage, Parenthood and Social Network: Subjective Well-Being and Mental Health in Old Age [Dataset]", https://doi.org/10.11588/data/RNHJTE, heiDATA, V1, UNF:6:be//4yqdSt2F+1XKYGQOmA== [fileUNF]
Parenthood, marital status and social networks have been shown to relate to the well-being and mental health of older people. Using a large sample of respondents aged 50 and older from 16 European countries, we identify the associations of well-being and mental health with family...
Aug 4, 2014 - AWI Experimental Economics
Bauernschuster, Stefan; Dürsch, Peter; Oechssler, Jörg; Vadovic, Radovan, 2014, "Mandatory Sick Pay Provision: A Labor Market Experiment [Dataset]", https://doi.org/10.11588/data/10022, heiDATA, V2, UNF:5:QN3j/kE7cRnB9bWCisLgMg== [fileUNF]
The question whether a minimum rate of sick pay should be mandated is much debated. We study the effects of this kind of intervention with student subjects in an experimental laboratory setting rich enough to allow for moral hazard, adverse selection, and crowding out of good int...
Sep 9, 2019 - AWI Experimental Economics
Nikiforakis, Nikos; Oechssler, Jörg; Shah, Anvar, 2019, "Managerial bonuses and subordinate mistreatment [Dataset]", https://doi.org/10.11588/data/876SOV, heiDATA, V1, UNF:6:rgdksaMzfE0dDvw+toLLbg== [fileUNF]
Can performance bonuses increase the likelihood that managers coerce their subordinates into exerting high levels of effort when doing so promotes neither efficiency nor equity? We consider a laboratory setting in which managers compete to obtain a large bonus at the end of the e...
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...
Oct 18, 2021 - Heidelberg University Language and Cognition Lab
Kokje, Eesha; Gerwien, Johannes; Stutterheim, Christiane von, 2021, "Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data]", https://doi.org/10.11588/data/HBDRBY, heiDATA, V1, UNF:6:GCBciA3UU6l8DlEK+BoTlw== [fileUNF]
The data set contains the data associated with the study on "Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment". The files include the javascript codes for running the experiments, the data, and example stimuli.
Sep 24, 2021 - AWI Experimental Economics
Vollmann, Martin; Schwieren, Christiane; Mattern, Margarete; Schnell, Knut, 2021, "Let the team fix it? - Performance and mood of depressed workers and coworkers in different work contexts [Research data]", https://doi.org/10.11588/data/PRQILA, heiDATA, V1
Depression in the workplace is a significant factor for reduced personal well-being and productivity. Consequently, this has negative effects on the economic success of the companies in which depressed people are employed. In addition, the economy has to deal with the significant...
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...
Jul 29, 2014 - AWI Experimental Economics
Huck, Steffen; Normann, Hans-Theo; Oechssler, Jörg, 2014, "Learning in Cournot Oligopoly - An Experiment [Dataset]", https://doi.org/10.11588/data/10012, heiDATA, V1
This experiment was designed to test various learning theories in the context of a Cournot oligopoly. We derive theoretical predictions for the learning theories and test these predictions by varying the information given to subjects. The results show that some subjects imitate s...
Feb 10, 2021 - Psychological Research Methods
Wieschen, Eva Marie; Voss, Andreas; Radev, Stefan, 2021, "Jumping to Conclusion? A Lévy Flight Model of Decision Making [Dataset]", https://doi.org/10.11588/data/SXWI6S, heiDATA, V1
The diffusion model is one of the most prominent response time models in cognitive psychology. The model describes evidence accumulation as a stochastic process that runs between two boundaries until a threshold is hit, and a decision is made. The model assumes that information a...
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