This paper argues that the relation between temptations and the level of consumption plays a key role in explaining the observed behaviors of the poor. Temptation goods are defined to be the set of goods that generate positive utility for the self that consumes them, but not for any previous...

In this paper, we provide a new framework for analyzing corruption in public bureaucracies. The standard way to model corruption is as an example of moral hazard, which then leads to a focus on better monitoring and stricter penalties with the eradication of corruption as the final goal. We...

A wide range of interventions, from subsidized grains all the way to conditions on nutrition in conditional cash transfers, have either been tried or put in place in different countries in order to fight under-nutrition. A number of important policy experiments in recent years, directly or...

We empirically examine two competing views of CEO pay. In the contracting view, pay is used to solve an agency problem: the compensation committee optimally chooses pay contracts which give the CEO incentives to maximize shareholder wealth. In the skimming view, pay is the result of an agency...

Tightly knit extended families, in which people often give money to and get money from relatives, characterize many developing countries. These intra-family flows mean that public policies may affect a very different group of people than the one they target. To assess the empirical importance of...

Algorithms (in some form) are already widely used in the criminal justice system. We draw lessons from this experience for what is to come for the rest of society as machine learning diffuses. We find economists and other social scientists have a key role to play in shaping the impact of...

Many government services are provided at the state level such as unemployment insurance, Medicaid, and SNAP. Given the lack of competition, a natural worry is that customer support provided by states for these services is less than adequate. While there are many different measures of how a state...

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...

Algorithms are increasingly used to aid, or in some cases supplant, human decision-making, particularly for decisions that hinge on predictions. As a result, two additional features in addition to prediction quality have generated interest: (i) to facilitate human interaction and understanding...

We use machine learning to better characterize low-value health care and the decisions that produce it. We focus on costly tests, specifically for heart attack (acute coronary syndromes). A test is only useful if it yields new information, so efficient testing is grounded in accurate prediction...