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Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Global Behavioral Economics Experiments Dataset

Authors: Behavioral Economics Research Consortium;

Global Behavioral Economics Experiments Dataset

Abstract

This dataset compiles results from behavioral economics and neuroeconomics experiments published between 1990 and 2025. It integrates findings across four core experimental paradigms: the Ultimatum Game, the Iowa Gambling Task (IGT), Risk Aversion Tasks (including the Balloon Analogue Risk Task), and Delay Discounting tasks. COVERAGE AND SCOPE: Ultimatum Game: ~1,000+ published studies (1990–2025). Average sample size: ~100 participants per study. Main countries: USA, Germany, UK, Japan, China, Israel. Typical age range: 18–40 years; predominantly university students. Key finding: responders reject unfair offers 20–50% of the time (vs. rational prediction of 0%), demonstrating strong fairness norms. Effect sizes: Cohen's d ~0.5–1.0. Iowa Gambling Task (IGT): ~500+ published studies since its 1994 introduction. Average sample size: ~75 participants. Main regions: North America, Europe, Asia. Typical age range: 25–40 years; mixed education levels. Core finding: participants favor short-term risky decks initially, then shift to safe decks over time. Effect sizes: r ~0.2–0.4; moderated by age, incentives, and publication year. Risk Aversion Tasks (BART and related): ~300+ published studies (1990–2025). Average sample size: ~50 participants. Main countries: USA, Europe (UK, Germany, Netherlands). Typical age range: 20–35 years; mixed education. Findings: higher impulsivity linked to poorer decision performance; risk-taking peaks mid-task. Effect sizes: small (ANOVA p < 0.01 across task blocks). Delay Discounting: ~2,000+ published studies (1990–2025). Average sample size: ~100 participants. Global coverage: USA, Latin America, Europe. Typical age range: 18–50+; varied education levels (low to high). Key finding: participants heavily discount future rewards (prefer $50 now vs. $100 later); steeper discount curves in lower SES groups. Effect sizes: large (k ~0.1–0.3, hyperbolic model fit). VARIABLES INCLUDED: Age (range and mean by study) - Country of data collection - Educational level of participants - Behavioral outcomes (rejection rates, net scores, risk indices, discounting rates) - Effect sizes and statistical significance - Year of publication - Sample size DISCIPLINARY INTEGRATION: This dataset integrates findings from psychology, behavioral economics, and neuroeconomics — three fields with high and growing scientific output since the 1990s. It reflects the influence of seminal work including Thaler & Sunstein (2008), Kahneman & Tversky (1979), and Bechara et al. (1994). REFERENCE: Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press. Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50(1–3), 7–15. Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263–291.

Keywords

neuroeconomics, delay discounting, Iowa Gambling Task, behavioral economics, Ultimatum Game

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average