We analyze consumer demand behavior using Dynamic Random Utility Model (DRUM). Under DRUM, a consumer draws a utility function from a stochastic utility process in each period and maximizes this utility subject to her budget constraint. DRUM allows unrestricted time correlation and cross-section...

We report on two novel choice experiments with real goods where subjects in one treatment are forced to choose, as is the norm in economic experiments, while in the other they are not but can instead incur a small cost to defer choice. Using a variety of measures, we find that the active choices...

This paper proposes a model of attention allocation in decision-making. Attention has various definitions across the literature. Here, I understand attention as selecting information for costly processing. The paper investigates how an agent rationally allocates attention. The resulting...

We characterize prior-by-prior Bayesian updating using a model proposed by Gilboa, Maccheroni, Marinacci and Schmeidler (2010) that jointly considers objective and subjective rationality. These rationality concepts are subject to the Bewley unanimity rule and maxmin expected utility,...

We show how information acquisition costs can be identified using observable choice data. Identifying information costs from behavior is especially relevant when these costs depend on factors-such as time, effort, and cognitive resources-that are difficult to observe directly, as in models of...

Attention scarcity is a limitation on the ability to incorporate information into actions with state-contingent consequences. In a menu choice setting, we study an axiomatic model of decision making with scarce attention. A decision maker satisfying our axioms acts as if she chooses a joint...

We study the influence of reason and intuition on decision making over time. Facing a sequence of similar problems, agents can either decide rationally according to expected utility theory or intuitively according to case-based decision theory. Rational decisions are more precise but create...