This chapter reviews recent experimental data testing game theory and behavioral models that have been inspired to explain those data. The models fall into four groups: in cognitive hierarchy or level- k models, the assumption of equilibrium is relaxed by assuming agents have beliefs about other...

This paper provides a rational choice-based analysis of the causes and consequences of surprise events. The paper argues that ignorance may be rational, but nonetheless produce systematic mistakes, inconsistent behavior, and both pleasant and unpleasant surprises. If ignorance and unpleasant...

In this paper we experimentally test a theory of boundedly rational behavior in a "lemons market." We analyzed two different market designs, for which perfect rationality implies complete and partial market collapse, respectively. Our empirical observations deviate substantially from these...

We review the recent literature on rational inattention, identify the main theoretical mechanisms, and explain how it helps us understand a variety of phenomena across fields of economics. The theory of rational inattention assumes that agents cannot process all available information, but they...

This paper presents a laboratory experiment that directly tests the theoretical predictions of consumption choices under rational inattention. Subjects are asked to select consumption when income is random. They can optimally decide to reduce uncertainty about income by acquiring signals about...

I study how boundedly rational agents can learn the solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. I present conditions for the existence of an optimal linear consumption rule and characterize it. Additionally, I use an empirically...

In this paper we introduce bounded rationality into the standard Mussa and Rosen (1978) model. We obtain the necessary conditions for the monopolist to benefit from the boundedly rational behavior of the consumers and discuss the incidence of costs of boundedly rational behavior. We also obtain...

I study how boundedly rational agents can learn a "good" solution to an infinite horizon optimal consumption problem under uncertainty and liquidity constraints. Using an empirically plausible theory of learning I propose a class of adaptive learning algorithms that agents might use to choose a...