certain modes of behavior due to learning by doing. This paper provides discrete-time adjustment processes for strategic games … beliefs supported by observed play in the recent past, in line with much of the literature on learning. These processes … eventually settle down in the minimal prep sets of Voorneveld (2004, 2005). -- adjustment ; learning ; minimal prep sets …

Micro data from a dental insurance natural experiment is used to analyze why agents opt out of insurance. The purpose … is to relate the dropout decision to new information on risk, acquired by the policy holder and the insurer. The results … insurer's information fully into account, even though it is public. The decision is also based on old information …

This paper investigates why subjects in laboratory experiments on quantity precommitment games consistently choose …

laboratory experiment. Our findings support the main comparative-static predictions of the model but also suggest that, when … than predicted. -- Cournot Competition ; Forward Markets ; Spot Markets ; Experiments …

natural experiment, is here used to provide a direct test of selection. All agents in a population were stratified into …

; Evolutionary game theory ; Evolutionary Stability ; Learning in games ; Belief learning ; Reinforcement learning …In this paper I define an evolutionary stability criterion for learning rules. Using Monte Carlo simulations, I then … apply this criterion to a class of learning rules that can be represented by Camerer and Ho's (1999) model of learning. This …

player role, is drawn to play and chooses a pure strategy according to her personal learning rule after observing a sample … size. -- Bounded rationality ; Evolutionary game theory ; Imitation ; Better replies ; Markov chain ; Stochastic stability …