Theories of bounded rationality are typically characterized over an exhaustive data set. This paper aims to operationalize some leading theories when the available data is limited, as is the case in most practical settings. How does one tell if observed choices are consistent with a theory of...

Implementation theory assumes that participants' choices are rational, in the sense of being derived from the maximization of a contextindependent preference. The paper investigates implementation under complete information when the mechanism designer is aware that individuals suffer from...

Incorporating bounded rationality into the classic consumer theory setting, we study the testable implications of a consumer who may have trouble consistently assessing her subjective tastes. Our model of E-Rationalizability, which bounds the consumer's misperception of her marginal rates of...

A decision maker may not perfectly maximize her preference over the feasible set. She may feel it is good enough to maximize her preference over a sufficiently large consideration set; or just require that her choice is sufficiently well-ranked (e.g., in the top quintile of options); or even...

Each period, a principal must assign one of two agents to a new task. Profit is stochastically higher when the agent is qualified for the task, but the principal cannot observe qualification. Her only decision is which of the two agents to assign, if any, given the public history of selections...

Bounded rationality theories are typically characterized over exhaustive data sets. We develop a methodology to understand the empirical content of such theories with limited data, adapting the classic, revealed-preference approach to new forms of revealed information. We apply our approach to...

I use the theories of duality and optimal branchings to find a necessary and sufficient characterization of stochastically stable limit sets (SSLS) that helps improve the radius -- modified coradius test of Ellison (2000). The improved shortcut I offer may permit the identification of SSLS when...

We consider a multilateral Nash demand game where short-sighted players come to the bargaining table with requests for both coalition partners and the potentially generated resource. We prove that group learning leads with probability one to complete cooperation and a strictly self-enforcing...

Consumers purchase multiple types of goods and services, but may be able to examine only a limited number of markets for the best price. We propose a simple model which captures these features, conveying some new insights. A firm's price can deflect or draw attention to its market, and...

Theories of bounded rationality are typically characterized over an exhaustive data set. This paper aims to operationalize some leading theories when the available data is limited, as is the case in most practical settings. How does one tell if observed choices are consistent with a theory of...