Competing fairness ideals underlie wealth inequality across decision contexts

Area of Science:

• Behavioral Economics
• Computational Social Science
• Decision Theory

Background:

• Wealth inequality presents a significant societal challenge.
• Understanding diverse perspectives on fair resource distribution is crucial for addressing inequality.
• Existing research often overlooks the nuanced interplay of self-interest and fairness under inequity.

Purpose of the Study:

• To formalize individual differences in distributive preferences under wealth inequality.
• To quantify the balance between financial self-interest and pro-social motivations.
• To identify distinct decision-making strategies in resource allocation and negotiation.

Main Methods:

• Simulated wealth inequality using Dictator Game (DG) and Ultimatum Game (UG) settings.
• Employed a computational model to analyze distributive decisions and individual motivations.
• Utilized hierarchical clustering to categorize participant behaviors into distinct strategies.

Main Results:

• Pre-existing wealth significantly influences distributive preferences in both allocation and proposal scenarios.
• Wealth inequality elicits varied fairness concerns, not a uniform response.
• Four distinct strategies were identified: 'Pro-Self', 'Table Egalitarianism', 'Total Egalitarianism', and 'Moral Opportunism'.
• Strategy distribution varied between DG (balanced) and UG (Table Egalitarianism dominance), indicating strategic influence.

Conclusions:

• A principled framework for understanding distributive preferences under wealth inequality has been established.
• Competing ideals of fairness, encompassing both altruism and strategic considerations, drive decisions.
• Individual differences in decision strategies are associated across different economic contexts.