The evolution of trust under institutional moral hazard

Area of Science:

• Economics
• Information Economics
• Market Design

Background:

• Online marketplaces rely on reputational signals to foster trust between buyers and sellers.
• Transactions often involve moral hazard, where sellers can act in bad faith after payment.
• Platforms broadcast reputation signals, influencing buyer decisions and market dynamics.

Purpose of the Study:

• To develop a theoretical model of platform behavior regarding reputational signals.
• To analyze the institutional-level moral hazard arising from platform revenue incentives.
• To investigate how signal accuracy costs and commission fees affect platform strategy and market welfare.

Main Methods:

• Theoretical modeling of buyer-seller interactions on a platform.
• Analysis of strategic adaptations by buyers and sellers based on reputation signals.
• Examination of platform incentives related to transaction volume, commission revenue, and signal accuracy.

Main Results:

• Platforms have an incentive to inflate ratings to boost transaction volume, potentially reducing signal accuracy.
• Excessive inaccuracy in reputation signals can lead to a collapse in buyer trust and market activity.
• When accuracy is costly, platforms may strategically degrade signal quality; higher fees incentivize greater accuracy.

Conclusions:

• Institutional incentives for platforms can diverge from the welfare of buyers and honest sellers.
• The trade-off between profit and information accuracy is central to platform design and market stability.
• Understanding these dynamics is crucial for designing effective online marketplaces that promote trust and fair trade.