Behavioral economics is changing our understanding of how economic policy operates, including tax policy. In this paper, we consider some implications of behavioral economics for tax policy, such as how it changes our understanding of the welfare consequences of taxation, the relative...

This paper develops a model of health insurance that incorporates behavioral biases. In the traditional model, people who are insured overuse low value medical care because of moral hazard. There is ample evidence, though, of a different inefficiency: people underuse high value medical care...

Existing learning models attribute failures to learn to a lack of data. We model a different barrier. Given the large number of dimensions one could focus on when using a technology, people may fail to learn because they failed to notice important features of the data they possess. We conduct a...

We present a model of coarse thinking, in which individuals group situations into categories, and transfer the informational content of a given message from situations in a category where it is useful to those where it is not. The model explains how uninformative messages can be persuasive,...

We propose an activity-generating theory of regulation. When courts make errors, tort litigation becomes unpredictable and as such imposes risk on firms, thereby discouraging entry, innovation, and other socially desirable activity. When social returns to innovation are higher than private...

We present a framework for analyzing “model persuasion.” Persuaders influence receivers' beliefs by proposing models (likelihood functions) that specify how to organize past data (e.g., on investment performance) to make predictions (e.g., about future returns). Receivers are assumed to find...

We examine how machine learning can be used to improve and understand human decision-making. In particular, we focus on a decision that has important policy consequences. Millions of times each year, judges must decide where defendants will await trial—at home or in jail. By law, this decision...

The law forbids discrimination. But the ambiguity of human decision-making often makes it extraordinarily hard for the legal system to know whether anyone has actually discriminated. To understand how algorithms affect discrimination, we must therefore also understand how they affect the problem...

We follow 822 applicants through the process of obtaining a driver%u2019s license in New Delhi, India. To understand how the bureaucracy responds to individual and social needs, participants were randomly assigned to one of three groups: bonus, lesson, and comparison groups. Participants in the...

Numerous laboratory studies find that minor nuances of presentation and description change behavior in ways that are inconsistent with standard economic models. How much do these context effect matter in natural settings, when consumers make large, real decisions and have the opportunity to...