I examine the specialization of US commuting zones in AI-related occupations over the 2000 to 2018 period. I define AI-related jobs based on keywords in Census occupational titles. Using the approach in Lin (2011) to identify new work, I measure job growth related to AI by weighting employment...

We study how decades-long exposure to individuals of a given foreign descent shapes natives' attitudes and behavior toward that group, exploiting plausibly exogenous shocks to the ancestral composition of US counties. We combine several existing large-scale surveys, cross-county data on implicit...

Using data from the 2010-2014 American Community Survey, we use a procedure suggested by Capps et al. (2015) to identify refugees from the larger group of immigrants to examine the outcomes of refugees relocated to the U.S. Among young adults, we show that refugees that enter the U.S. before age...

Are speculators driving up oil prices? Should we raise energy prices to slow global warming? The present study takes a small number of such questions and compares the views of economic experts with those of the public. This comparison uses a panel of more than 2000 respondents from YouGov with...

This paper provides a simple conceptual framework that captures how different perceptions, attitudes, and biases about immigrants or minorities can shape preferences for redistribution. Through the lens of this framework, we review the empirical literature on the effects of racial diversity and...

Why are some technological transitions particularly unequal and slow to play out? We develop a theory to study transitions after technological innovations driven by worker reallocation within a generation and changes in the skill distribution across generations. The economy's transitional...

Are ordinary citizens or political party leaders better positioned to select candidates? While the American primary system lets citizens choose, most democracies rely instead on party officials to appoint or nominate candidates. The consequences of these distinct design choices are unclear:...

GDP growth is often measured poorly for countries and rarely measured at all for cities or subnational regions. We propose a readily available proxy: satellite data on lights at night. We develop a statistical framework that uses lights growth to augment existing income growth measures, under...

In this paper, we investigate the dynamics of informational regulatory approaches by analyzing the impact of smog alerts issued on consecutive days on discretionary outdoor activities in Southern California. Short-run adjustments to transitory risk entail costs that are likely to influence the...

This paper studies the barriers to the diffusion of development across countries over the very long-run. We find that genetic distance, a measure associated with the amount of time elapsed since two populations' last common ancestors, bears a statistically and economically significant...