Interim Rationalizable Implementation of Functions
Rene Saran () and
Roberto Serrano ()
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Rene Saran: University of Cincinnati
No 21-2020, Economics and Statistics Working Papers from Singapore Management University, School of Economics
This paper investigates rationalizable implementation of social choice functions (SCFs) in incomplete information environments. We identify weak interim rationalizable monotonicity (weak IRM) as a novel condition and show that weak IRM is a necessary and almost suﬃcient condition for rationalizable implementation. We show by means of an example that interim rationalizable monotonicity (IRM), found in the literature, is strictly stronger than weak IRM as its name suggests, and that IRM is not necessary for rationalizable implementation, as had been previously claimed. The same example also demonstrates that Bayesian monotonicity, the key condition for full Bayesian implementation, is not necessary for rationalizable implementation. This implies that rationalizable implementation can be more permissive than Bayesian implementation: one can exploit the fact that there are no mixed Bayesian equilibria in the implementing mechanism.
Keywords: Bayesian incentive compatibility; bayesian monotonicity; weak interim rationalizable monotonicity; interim rationalizable monotonicity; implementation; rationalizability (search for similar items in EconPapers)
JEL-codes: C72 D78 D82 (search for similar items in EconPapers)
Pages: 52 pages
New Economics Papers: this item is included in nep-des, nep-mic and nep-sea
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Working Paper: Interim Rationalizable Implementation of Functions (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:ris:smuesw:2020_021
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