We study games in which players search for an optimal action profile. All action profiles are either a success, with a payoff of one, or a failure, with a payoff of zero. Players do not know the location of success profiles; instead each player is privately informed about the marginal...

We experimentally study decentralized organizational learning. Our objective is to understand how learning members of an organization cope with the confounding effects of the simultaneous learning of others. We test the predictions of a stylized, rational agent model of organizational learning...

No abstract.

may, on their own, generate monotone matching predictions in the absence of complementarities or anti-complementarities in production technology. We also derive sufficient conditions on the primitives of the model leading to the optimality of positive and negative matching of team members.

We investigate dynamic coordination among members of a problem-solving team who receive private signals about which of their actions are required for a (static) coordinated solution and who have repeated opportunities to explore different action combinations. In this environment ordinal...