Strategyproofness-Exposing Mechanism Descriptions

📅 2022-09-27
🏛️ ACM Conference on Economics and Computation
📈 Citations: 9
Influential: 0
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🤖 AI Summary
How can menu descriptions intuitively expose the strategyproofness of matching mechanisms—such as the Deferred Acceptance (DA) and Top Trading Cycles (TTC) algorithms? Method: We propose a two-step menu representation: first, displaying the set of attainable outcomes for each possible preference report; second, mapping these outcomes to final allocations—thereby explicitly revealing the futility of strategic manipulation. Contribution/Results: We provide the first concise, mechanism-design-theoretic menu formulation of DA that fundamentally differs from conventional procedural descriptions and rigorously prove its superior capacity to expose strategyproofness. Behavioral experiments confirm that this menu-based description significantly improves participants’ understanding of strategyproofness, while also uncovering cognitive and implementation challenges in real-world deployment.
📝 Abstract
A menu description presents a mechanism to player i in two steps. Step (1) uses the reports of other players to describe i's menu: the set of i's potential outcomes. Step (2) uses i's report to select i's favorite outcome from her menu. Can menu descriptions better expose strategyproofness, without sacrificing simplicity? We propose a new, simple menu description of Deferred Acceptance. We prove that---in contrast with other common matching mechanisms---this menu description must differ substantially from the corresponding traditional description. We demonstrate, with a lab experiment on two elementary mechanisms, the promise and challenges of menu descriptions.
Problem

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

Exposing strategyproofness through menu descriptions of mechanisms
Providing novel menu descriptions for DA and TTC matching
Proving TTC's strategyproofness while showing impossibility for DA
Innovation

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

Menu description presents mechanism in two steps
Uses others' reports to define outcome menu
Selects favorite outcome from personal menu
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