We modify the self-tuning Experience Weighted Attraction (EWA-lite) model of Camerer, Ho, and Chong (2007) and use it as a computer testbed to study the likely performance of a set of twostate automata in four symmetric 2 x 2 games. The model suggested allows for a richer specification of...

We use laboratory experiments to test for one of the foundations of the rational voter paradigm - that voters respond to probabilities of being pivotal. We exploit a setup that entails stark theoretical effects of information concerning the preference distribution (as revealed through polls) on...

We use laboratory experiments to test for one of the foundations of the rational voter paradigm - that voters respond to probabilities of being pivotal. We exploit a setup that entails stark theoretical effects of information concerning the preference distribution (as revealed through polls) on...

We use laboratory experiments to test for one of the foundations of the rational voter paradigm - that voters respond to probabilities of being pivotal. We exploit a setup that entails stark theoretical effects of information concerning the preference distribution (as revealed through polls) on...

Institutions designed to increase turnout appeal to democratic sentiments but are highly debated as they entail two potentially countervailing effects. While generating more pieces of information, they may decrease the average voter's information quality. We examine two commonly discussed...

One of the fundamental problems in both economics and organization is to understand how individuals coordinate. The widely used minimum-effort coordination game has been used as a simplifed model to better understand this problem. This paper first presents some theoretical results that give...

I study two-player undiscounted repeated games with imperfect private monitoring. When strategies are restricted to those implementable by nite automata, fewer equilibrium outcomes are possible. When only two-state automata are allowed, a simple strategy, "Win-Stay, Lose-Shift," leads to...

We propose a new approach for running lab experiments on indefinitely repeated games with high continuation probability. This approach has two main advantages. First, it allows us to run multiple long repeated games per session. Second, it allows us to incorporate the strategy method with...

We develop a model of learning that extends the classic models of reinforcement learning to a continuous, multidimensional strategy space. The model takes advantage of the recent approximation methods to tackle the curse of dimensionality inherent to a traditional discretization approach....