We study learning in perfect competition. A price-taking firm sells a good whose quality is unknown to some buyers. The uninformed buyers use the price to infer information about quality. The presence of noise on the supply prevents perfect learning. Even though the firm is a price-taker,...

Through a series of decision tasks involving colored cards, we provide separate measures of Bayesian updating and non-probabilistic reasoning skills. We apply these measures to (and are the first to study) a common-value Dutch auction. This format is more salient than the strategically...

We report an experimental test of alternative rules in innovation contests when success may not be feasible and contestants may learn from each other. Following Halac et al. (forthcoming), the contest designer can vary the prize allocation rule from Winner-Take-All in which the first successful...

We study firms' incentives to acquire private information on cost in a duopoly signaling game. Firms first choose how much to invest in information acquisition and then engage in dynamic price competition. In equilibrium firms acquire too little information from the perspective of industry...

Early consumption of a product often benefits later consumers by revealing quality information. Inefficiency arises, however, because early consumers do not internalize the social value of their consumption. How could a platform that intermediates information between early and late consumers...

We use a limited information environment to mimic the state of confusion in an experimental, repeated public goods game. The results show that reinforcement learning leads to dynamics similar to those observed in standard public goods games. However, closer inspection shows that individual decay...

We develop a theoretical framework for studying the effects of interaction on the quaJity of decision-making by monetary policy committees. We show that interaction, i.e. increasing one's expertise through an exchange of views, is most likely not to result in interdependent voting...

In this paper we consider regression models with forecast feedback. Agents' expectations are formed via the recursive estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic approximation algorithms whose gain sequence is...

Climate skeptics argue that the possibility that global warming is exogenous implies that we should not take additional action towards reducing greenhouse gas emissions until we know more. However this paper shows that even climate skeptics have an incentive to reduce emissions: such a change of...

Support for economic reforms has often shown puzzling dynamics: there are many examples of reforms that started off successfully but nevertheless lost public support, and vice versa. We show that learning dynamics can rationalize this apparent paradox, the reason being that the process of...