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1 to 10 of 90 Results
Ztree_text_export.zip
May 20, 2018 - Risk, time pressure, and selection effects [Dataset]
ZIP Archive - 43.8 KB - MD5: 772840f0ca017d42a702161c1cf4405a
Ztree text export (long term preservation)
zTree_export.zip
Apr 18, 2018 - Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
ZIP Archive - 21.4 KB - MD5: df6a0e82e87934c193f2c581fefc5463
Code
zTree files (exported for long term preservation)
zTree.zip
Apr 18, 2018 - Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
ZIP Archive - 19.5 KB - MD5: 5e4dea577d2674cd3a6b0af40c1f1860
Code
zTree files (original)
Variables Codebook.tab
Jun 17, 2018 - Ambiguity Attitudes in the Loss Domain: Decisions for Self versus Others [Dataset]
Tabular Data - 1.9 KB - 2 Variables, 32 Observations - UNF:6:SxDjm/HSLtSILr2x39sg5g==
Variables Codebook.tab
May 20, 2018 - Risk, time pressure, and selection effects [Dataset]
Tabular Data - 16.5 KB - 3 Variables, 215 Observations - UNF:6:pP3XUM9b1UVsjEaoU0RTig==
TrautmannWakker_onlineappendix.pdf
TrautmannWakker_onlineappendix.pdf
Apr 18, 2018 - Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
Adobe PDF - 331.8 KB - MD5: 2b6021a539615f6772b733206204e5ce
Documentation
TrautmannWakker_Experiment_Instructions.pdf
TrautmannWakker_Experiment_Instructions.pdf
Apr 18, 2018 - Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
Adobe PDF - 105.5 KB - MD5: d5848f1f6416e7bdd398762644d454d1
Documentation
Experiment Instructions
TrautmannWakker_Experiment_data.xlsx
Apr 18, 2018 - Making the Anscombe-Aumann approach to ambiguity suitable for descriptive applications [Dataset]
MS Excel Spreadsheet - 19.8 KB - MD5: 726c22409146d097002a124f6c4fc991
Data
The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]
Mar 22, 2018
Reischmann, Andreas; Oechssler, Jörg, 2018, "The Binary Conditional Contribution Mechanism for public good provision in dynamic settings - Theory and experimental evidence [Dataset]", https://doi.org/10.11588/data/QHN1KT, heiDATA, V1, UNF:6:oGAQOEsaP2z2MtFReyc6Uw== [fileUNF]
We present a new and simple mechanism for repeated public good environments. In the Binary Conditional Contribution Mechanism (BCCM), every agent's message has the form, “I am willing to contribute to the public good if at least k agents contribute in total.” This mechanism offer...
SocialPreferencesUnderChronicStress.csv
Jun 28, 2018 - Social Preferences under Chronic Stress [Dataset]
Comma Separated Values - 19.1 KB - MD5: 6d36c713d952aa033268522e08d90fed
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