We develop interpretable, quantitative indices of the objective and subjective complexity of lottery choice problems that can be computed for any standard dataset. These indices capture the predicted error rate in identifying the lottery with the highest expected value, where the predictions are...

There is a wealth of research in psychology demonstrating that agents process information with the aid of categories. In this paper we study this phenomenon in two parts. First, we build a model of how experiences are sorted into categories and how categorization affects decision making. Second,...

This paper studies strategic decision making by a private currency ledger operator, which faces competition from public money and/or other ledgers. A monopoly ledger operator can incentivize contract enforcement across the financial sector by threatening exclusion, but it can also impose markups...

A modern, decision-theoretic framework can help clarify important practical questions of experimental design. Building on our recent work, this chapter begins by summarizing our framework for understanding the goals of experimenters, and applying this to re-randomization. We then use this...

A decision maker constructs a convex set of nonnegative martingales to use as likelihood ratios that represent parametric alternatives to a baseline model and also non-parametric models statistically close to both the baseline model and the parametric alternatives. Max-min expected utility over...

Going to college is a risky investment in human capital. However, we highlight two options inherently embedded in college education that mitigate this risk: (i) college students can quit without completing four-year degrees after learning about their post-graduation wages and (ii) college...

As the workforce has become more educated, educational decisions are no longer just about whether to acquire more, but rather what type of education to pursue. In college, individuals somewhat specialize through their choice of college major. Further specialization occurs in graduate school....

We develop a model to study optimal decision making in the face of uncertainty about the timing and structure of a future event. The model is used to study optimal decision making and welfare when individuals face uncertainty about when and how Social Security will be reformed. When individuals...

Much of the variation in international trade volume is driven by firms' extensive margin decision to participate in export markets. To understand this decision and predict the sensitivity of export flows to changes in trade costs, we estimate a standard model of firms' export participation. In...

A model is proposed in which stochastic choice results from noise in cognitive processing rather than random variation in preferences. The mental process used to make a choice is nonetheless optimal, subject to a constraint on available information-processing capacity that is partially motivated...