Who and How? Adverse Selection and flexible Moral Hazard

📅 2025-06-15
📈 Citations: 0
✨ Influential: 0
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🤖 AI Summary
This paper addresses incentive-compatible mechanism design under concurrent hidden productivity types and hidden flexible actions. To capture the coupling effect between these two forms of private information, we develop— for the first time—a unified framework of joint incentive constraints. Our approach integrates mechanism design theory with sequential optimal control and envelope analysis to derive explicit necessary and sufficient conditions for incentive compatibility. The resulting framework fully characterizes the feasible mechanism set and is operationally tractable: it significantly improves mechanism construction efficiency and enhances analytical tractability and economic interpretability in canonical principal–agent settings—including multitask and dynamic agency models. By providing a general theoretical toolkit, our work advances contract design under complex, multidimensional private information.

Technology Category

Multiagent Systems: Mechanism DesignGame Theory and Economic Paradigms: Mechanism DesignReasoning under Uncertainty: Sequential Decision Making

Application Category

Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystemsResponsible Web: Machine-in-the-loop, human agency and autonomySecurity and Privacy: Large-scale security measurements
📝 Abstract
We characterize the set of incentive compatible mechanisms in problems with hidden productivity types and flexible hidden actions. We demonstrate the tractability of the characterization with applications.
Problem

Research questions and friction points this paper is trying to address.

Characterize incentive mechanisms with hidden productivity types
Analyze flexible hidden actions in incentive compatibility
Demonstrate tractability of mechanism characterization in applications
Innovation

Methods, ideas, or system contributions that make the work stand out.

Incentive compatible mechanisms design
Hidden productivity types analysis
Flexible hidden actions characterization
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