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When and Why Contexts Predict Unethical Behavior: Evidence From a Laboratory Bribery Game
1Department of Economics, Case Western Reserve University, Cleveland, OH, United States.
Frontiers in Psychology
|July 26, 2021
Summary
Familiarity with loaded contexts in economic experiments significantly reduces unethical decisions in bribery games. This contrasts with neutral or unfamiliar contexts, highlighting the impact of context framing on behavior.
Area of Science:
- Behavioral Economics
- Experimental Economics
- Decision-Making Research
Background:
- Methodological debates in experimental economics focus on using neutral vs. loaded contexts for instructions.
- Loaded contexts risk unpredictable behavioral impacts, challenging experimental control.
- However, loaded contexts can enhance learning and ecological validity if their effects are understood.
Purpose of the Study:
- To investigate if familiarity with a loaded context systematically influences unethical decisions in a bribery game.
- To compare behavioral and attitudinal outcomes across neutral, familiar, and unfamiliar contexts.
Main Methods:
- A laboratory bribery game experiment was conducted.
- Three treatments were employed: neutral-context, familiar-context, and unfamiliar-context.
- Participant attitudes and behavior regarding corruption were measured and compared across treatments.
Main Results:
- Participants in the familiar-context treatment showed stronger negative attitudes toward corruption compared to the neutral-context benchmark.
- Attitudes toward unethical behavior did not differ between the neutral-context and unfamiliar-context treatments.
- Behaviorally, participants in the familiar-context treatment were significantly less likely to engage in corrupt activities, while neutral and unfamiliar contexts yielded similar behavioral outcomes.
Conclusions:
- Familiarity with a loaded context can significantly reduce engagement in unethical behavior, specifically corruption.
- Contextual framing in economic experiments is a critical factor influencing decision-making.
- Understanding the conditions under which loaded contexts alter behavior is crucial for experimental design.
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