In this paper, we study the identification and estimation of a dynamic discrete game allowing for discrete or continuous state variables. We first provide a general nonparametric identification result under the imposition of an exclusion restriction on agent payoffs. Next we analyze large sample...

Consider an environment where long-lived experts repeatedly interact with short-lived customers. In periods when an expert is hired, she chooses between providing a profitable major treatment or a less profitable minor treatment. The expert has private information about which treatment best...

Background: The fact that many individuals inexplicably fail to buy stocks, despite the historical evidence for a good return on investment has been referred to as the stock market puzzle. However, measurements of the subjective probability of a gain show that people are more pessimistic than...

We examine the role of generalized constant gain stochastic gradient (SGCG) learning in generating large deviations of an endogenous variable from its rational expectations value. We show analytically that these large deviations can occur with a frequency associated with a fat tailed...

We extend Kyle's (1985) model of insider trading to the case where liquidity provided by noise traders follows a general stochastic process. Even though the level of noise trading volatility is observable, in equilibrium, measured price impact is stochastic. If noise trading volatility is...

We present a model of stereotypes in which a decision maker assessing a group recalls only that group's most representative or distinctive types relative to other groups. Because stereotypes highlight differences between groups, and neglect likely common types, they are especially inaccurate...

I develop a model of (individually rational) collective reality denial in groups, organizations and markets. Whether participants' tendencies toward wishful thinking reinforce or dampen each other is shown to hinge on a simple and novel mechanism. When an agent can expect to benefit from other's...

This paper develops a theory of expectations-driven business cycles based on learning. Agents have incomplete knowledge about how market prices are determined and shifts in expectations of future prices affect dynamics. In a real business cycle model, the theoretical framework amplifies and...

In a world of imperfect information, reputations often guide the sequential decisions to trust and to reward trust. We consider two-player situations where the players meet but once. One player - the truster - decides whether to trust, and the other player - the temptee - has a temptation to...

Why do governments employ inefficient policies to redistribute income towards special interest groups (SIGs) when more efficient ones are available? To address this puzzle we derive and test predictions for a set of policies where detailed data is available and an efficiency ranking is feasible:...