We use novel and unique survey data from Italy to shed light on key questions regarding the measurement of social capital and the use of social capital indicators for empirical work. Our data cover a sample of over 600,000 respondents interviewed between 2000 and 2015. We identify four distinct...

We establish the Hurwicz-Uzawa integrability of the broad class of discrete-choice additive random-utility models of individual consumer behavior with perfect substitutes preferences and divisible goods. We derive the corresponding indirect uility function and then establish a representative...

The influence of behavioral biases on aggregate outcomes like prices and allocations depends in part on self-selection: whether rational people opt more strongly into aggregate interactions than biased individuals. We conduct a series of betting market, auction and committee experiments using 15...

We propose a framework where perceptions of uncertainty are driven by the interaction between cognitive constraints and the way that people learn about it--whether information is presented sequentially or simultaneously. People can learn about uncertainty by observing the distribution of...

How quickly does marginal utility fall with increasing consumption? It depends on the dimension along which we consider concavity of the utility function. This paper estimates the distribution of heterogeneous curvature parameters in individuals' utility functions from hypothetical choice data,...

This article reviews the growing economics literature that studies the politico-economic impacts of heterogeneity in moral boundaries across individuals and cultures. The so-called universalism-versus-particularism cleavage has emerged as a main organizing principle behind various salient...

We propose that a person's desire to consume an object or possess an attribute increases in how much others want but cannot have it. We term this motive superiority-seeking, and show that it generates preferences for exclusion that help explain a host of market anomalies and make novel...

Using data on U.S. state and federal taxes and transfers over a quarter century, we estimate a regression model that yields the marginal effect of any shift of market income share from one quintile to another on the entire post tax, post-transfer income distribution. We identify exogenous income...

Machine learning algorithms can find predictive signals that researchers fail to notice; yet they are notoriously hard-to-interpret. How can we extract theoretical insights from these black boxes? History provides a clue. Facing a similar problem - how to extract theoretical insights from their...

Large language models (LLMs) such as ChatGPT have the potential to revolutionize research in economics and other disciplines. I describe 25 use cases along six domains in which LLMs are starting to become useful as both research assistants and tutors: ideation, writing, background research, data...