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- Data for: Machiavelli Preferences Without Blame: Delegating Selfish vs. Generous Decisions in Dictator GamesData for "Machiavelli Preferences Without Blame," Gawn and Innes.
- Dataset
- Data for: Virtue Signaling: Using Risk Preferences to Signal TrustworthinessContains all code and notations for all supplementary analysis not shown in the text (e.g., robustness checks)
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- Data for: Virtue Signaling: Using Risk Preferences to Signal TrustworthinessContains code and notation for all analysis used in the main text of the paper
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- Data for: Virtue Signaling: Using Risk Preferences to Signal TrustworthinessDataset used for all analysis
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- Data for: Pulling StartersData and code for main tables of "Pulling Starters"
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- Data for: Exploration and Delegation in Risky ChoicesA RMarkdown file with a fully replicable analysis of main results in the paper. The file contains the raw data in .csv format.
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- Data for: AN ANALYSIS OF THE VALUATION OF LARGE ENVIRONMENTAL LOSSES AND THE LONG-TERM SOCIAL DISCOUNT RATE USING NON-MONETARY TRADEOFFSData from a survey described in the paper. Questions are given in full in the appendix.
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- Data for: The Influence of Personality Traits and Order of Play on Performance: A Basketball Free Throw Field ExperimentData of a basketball free throw field experiment
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- Data for: The Influence of Personality Traits and Order of Play on Performance: A Basketball Free Throw Field ExperimentData of the paper "The fairness of long and short ABBA-sequences: A basketball free-throw field experiment"
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- Data for: Financial Education and Digital Asset Management: What’s in the Black Box?This dataset contains all relevant data from a laboratory experiment investigating the effect of financial education on the use of digital asset management tools and financial behavior, which was conducted in the MELESSA lab of the University of Munich in April 2019.
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