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Published on: March 2, 2011
Common knowledge promotes risk pooling in an experimental economic game.
Lee Cronk1, Athena Aktipis2, Steven Gazzillo3
1Department of Anthropology, Rutgers University, New Brunswick, New Jersey, United States of America.
Understanding risk pooling is crucial for managing uncertainty. This study shows that priming individuals with real-world examples of need-based risk pooling increases cooperative behaviors and tolerance for risk, enhancing social coordination in volatile environments.
Area of Science:
- Behavioral Economics
- Social Psychology
- Anthropology
Background:
- Risk management is a persistent human challenge addressed through formal and informal insurance systems.
- Informal risk pooling, particularly need-based transfer systems, is a strategy for self-insurance.
- Coordination and common knowledge are theorized to be essential for the effectiveness of need-based transfer systems.
Purpose of the Study:
- To investigate the impact of common knowledge on social coordination and risk pooling.
- To examine how priming with real-world risk pooling examples influences behavior in a controlled game setting.
- To compare need-based transfer systems with debt-based strategies in volatile environments.
Main Methods:
- Development and implementation of a "Risk Pooling Game" to simulate social coordination and risk transfer.
- Comparison of participant behavior between a control group (no priming) and experimental groups (primed with risk pooling texts).
- Analysis of asking, giving, response rates, and tolerance for imbalances in resource exchange.
Main Results:
- Primed participants exhibited more frequent asking and giving behaviors compared to the control group.
- Primed participants were more responsive to requests and more tolerant of unequal exchanges.
- Priming shifted focus from debt/repayment to recipient survival, indicating enhanced risk pooling.
Conclusions:
- Common knowledge, effectively primed, enhances social coordination and risk pooling behaviors.
- Need-based transfer systems are an easily activated human behavioral repertoire, particularly effective in volatile conditions.
- Need-based transfers may be a more advantageous strategy than debt-based systems for managing unpredictable risks.
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