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Title: Essays on beliefs and knowledge
Author: Inal, Ibrahim
ISNI:       0000 0004 6352 512X
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2017
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The unifying theme of all three chapters of this dissertation is incomplete information games. Each chapter investigates two essential components, namely beliefs and knowledge, of incomplete information games. In particular, the first two chapter studies an alternative equilibrium notion of Sakovics (2001)- mirage equilibrium- and the final chapter introduces a new notion of metric to measure the distance between partitions. All relevant notations and definitions are defined for each chapter so that any of them can be read independently. In the first chapter, I restudy the Purification theorem of Harsanyi (1973) by relaxing the common knowledge assumption on priors for 2 x 2 games. I show that the limit of the (Mirage) equilibrium points in perturbed games generically converge to a pure strategy of the original complete information. This result, unlike the original one in which the limit is a mixed equilibrium point, is reminiscent of risk dominance criterion of Carlsson and van Damme (1993). I also study the conditions for different hierarchy levels that yields risk dominant outcome for coordination games. That is, I give conditions (first order stochastic dominance and monotone likelihood ratio order) that yield the risk dominant outcome of a coordination game as the limit of perturbed game ´a la Harsanyi (1973). In the second chapter, I attempt to provide a generalization of mirage equilibrium for dynamic games in the context of Cournot duopoly in which costs are private information. The task of extending the definition of mirage equilibrium is a nontrivial issue since it is not clear on which level of finite hierarchies of beliefs the update takes place. I take a short-cut to tackle this problem and instead of working on beliefs (probability distributions) directly, I work on the support of them. Broadly speaking, players update their beliefs by eliminating the support of ”types” that do not explain the opponents’ behavior. I show that the limit of this update process converges to a Nash equilibrium of the corresponding complete information game. I also show that the rate of convergence is linear. In the third chapter, I define a new metric to measure the distance between the partitions of a given finite set. I compare the proposed metric with the ones in the literature through examples.
Supervisor: Sakovics, Jozsef ; Hopkins, Ed Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: beliefs ; knowlege ; Mirage equilibrium ; purification