Suppose, we replace "knowledge" by "belief with probability p" in standard definitions of common knowledge. Very different notions arise depending on the exact definition of common knowledge used in the substitution. This paper demonstrates those diffrences and identifies which notion is relevant in each of three contexts: equilibrium analysis in incomplete information games, best response dynamics in incomplete information games, and agreeing to disagree/no trade results.
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Paper provided by Yale - Economic Growth Center in its series Papers with number
987r.
Find related papers by JEL classification: D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
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Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2006.
"Common Learning,"
Cowles Foundation Discussion Papers
1575, Cowles Foundation, Yale University.
[Downloadable!]
Other versions:
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2006.
"Common Learning,"
Levine's Bibliography
321307000000000355, UCLA Department of Economics.
[Downloadable!]
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2006.
"Common Learning,"
Cowles Foundation Discussion Papers
1575R, Cowles Foundation, Yale University, revised Jun 2007.
[Downloadable!]
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2007.
"Common Learning,"
PIER Working Paper Archive
07-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
[Downloadable!]
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2008.
"Common Learning,"
Econometrica,
Econometric Society, vol. 76(4), pages 909-933, 07.
[Downloadable!] (restricted)