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SSRN Electronic Journal
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2024
License: CC BY NC ND
Data sources: Datacite
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Mechanism Design with Sequential-Move Games: Revelation Principle

Authors: Xiong, Siyang;

Mechanism Design with Sequential-Move Games: Revelation Principle

Abstract

Traditionally, mechanism design focuses on simultaneous-move games (e.g., Myerson (1981)). In this paper, we study mechanism design with sequential-move games, and provide two results on revelation principles for general solution concepts (e.g., perfect Bayesian equilibrium, obvious dominance, strong-obvious dominance). First, if a solution concept is additive, implementation in sequential-move games is equivalent to implementation in simultaneous-move games. Second, for any solution concept \r{ho} and any social choice function f, we identify a canonical operator γ^{(\r{ho},f)}, which is defined on primitives. We prove that, if \r{ho} is monotonic, f can be implemented by a sequential-move game if and only if γ^{(\r{ho},f)} is achievable, which translates a complicated mechanism design problem into checking some conditions defined on primitives. Most of the existing solution concepts are either additive or monotonic.

Keywords

FOS: Economics and business, Economics - Theoretical Economics, Theoretical Economics (econ.TH)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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