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We analyze how leniency affects cartel pricing in an infinitely-repeated oligopoly model where the fine rates are linked to illegal gains and detection probabilities depend on the degree of collusion. A novel aspect of this study is that we focus on the worst possible outcome. We investigate the...
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We analyze maximal cartel prices in infinitely-repeated oligopoly models under leniency where fines are linked to illegal gains, as often outlined in existing antitrust regulation, and detection probabilities depend on the degree of collusion. We introduce cartel culture that describes how...
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Consider a game where Alice generates an integer and Bob wins if he can factor that integer. Traditional game theory …
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A central question in game theory and artificial intelligence is how a rational agent should behave in a complex …
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As a part of their industry or competition policies governments decide whether to allow for free market entry of firms or to regulate market access. We analyze a model where governments (ab)use these policy decisions for strategic reasons in an international setting. Multiple equilibria of this...
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This essay links some of my own work on expectations, learning and bounded rationality to the inspiring ideas of Jean-Michel Grandmont. In particular, my work on consistent expectations and behavioral learning equilibria may be seen as formalizations of JMG's ideas of self-fulfilling mistakes....
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