This paper explores past episodes of technological disruption in the US labor market, with the goal of learning lessons about the likely future impact of artificial intelligence (AI). We measure ...

We explore how socio-economic background shapes academia, collecting the largest dataset of U.S. academics’ backgrounds and research output. Individuals from poorer backgrounds have been severely ...

The Metropolitan Council for Educational Opportunity (METCO) program in Boston is a voluntary program for urban students and suburban school districts, that busses non-White students from Boston to ...

The NBER coordinates graduate and post-doctoral fellowship programs supported by several federal and foundation funders. Fellowships are available for dissertation support for graduate students, and ...

Fertility levels have greatly decreased in virtually every nation in the world, but the timing of the decline has differed even among developed countries. In Europe, Asia, and North America, total ...

Cities are often described as engines of economic growth. We assess this statement quantitatively. We focus on two mechanisms: a static agglomeration effect that makes production in bigger cities more ...

Leveraging rich data on the universe of Texas high school graduates, we estimate how the relationship between geographic access to public two- and four-year postsecondary institutions and ...

In a series of papers, my colleagues and I have demonstrated that levels of per capita income, economic growth, and other economic and demographic dimensions are strongly correlated with geographical ...

We do so using a synthetic difference-in-differences design that leverages variation from the 2022 Dobbs decision, which allowed states to ban abortion, and population flows based on change-of-address ...

The field of international trade has undergone significant theoretical and empirical advancements over the last twenty-five years. A key breakthrough has been the emergence of firm-level approaches to ...

We propose a novel time-series econometric framework to forecast U.S. Presidential election outcomes in real time by combining polling data, economic fundamentals, and political prediction market ...

Using geolocation data from millions of smartphones, we estimate consumer preferences for specific retail chains across income groups and regions. We show that accounting for distance endogeneity ...