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Tight Revenue Bounds With Possibilistic Beliefs and Level‐ k Rationality
Author(s) -
Chen Jing,
Micali Silvio,
Pass Rafael
Publication year - 2015
Publication title -
econometrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 16.7
H-Index - 199
eISSN - 1468-0262
pISSN - 0012-9682
DOI - 10.3982/ecta12563
Subject(s) - rationality , revenue , mathematical economics , economics , econometrics , mathematics , microeconomics , philosophy , epistemology , finance
Mechanism design enables a social planner to obtain a desired outcome by leveraging the players' rationality and their beliefs. It is thus a fundamental, but yet unproven, intuition that the higher the level of rationality of the players, the better the set of obtainable outcomes . In this paper, we prove this fundamental intuition for players with possibilistic beliefs , a model long considered in epistemic game theory. Specifically, • We define a sequence of monotonically increasing revenue benchmarks for single‐good auctions, G 0 ≤ G 1 ≤ G 2 ≤⋯, where each G i is defined over the players' beliefs and G 0 is the second‐highest valuation (i.e., the revenue benchmark achieved by the second‐price mechanism). • We (1) construct a single, interim individually rational, auction mechanism that, without any clue about the rationality level of the players, guarantees revenue G k if all players have rationality levels ≥ k +1, and (2) prove that no such mechanism can guarantee revenue even close to G k when at least two players are at most level‐ k rational.

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