We provide the first causal, national empirical analysis of the labor market impacts of heightened immigration enforcement during the second Trump administration. Enforcement increased everywhere, but ...

Constructing datasets from primary sources is one of the costliest tasks in empirical economics. We propose Deep Research on a Loop (DRIL), a methodology that uses AI agents to assemble datasets from ...

Data centers are the physical infrastructure behind cloud computing, artificial intelligence, and enterprise software. The rapid diffusion of artificial intelligence (AI) is intensifying demand for ...

Adjustment frictions can cause the long-run effects of social insurance reforms to differ from their short-run effects. Using pre-committed extensions of event study specifications applied previously ...

This paper uses Medicaid claims data from 2017-2021 to measure racial/ethnic disparities in mid-life mortality among low-income adults with disabilities receiving Supplemental Security Income (SSI).

Large Language Models (LLMs) are trained on a prodigious corpus of human writing and may reveal human preferences over characteristics of life courses, such as income, longevity, and working ...

This paper examines how anti-harassment legal reforms that weaken non-disclosure agreements (NDAs) in cases of workplace sexual harassment affect startups' hiring and organizational decisions. Using a ...

Many startups in the 2000s have remained private after achieving large valuations, a pattern that funding availability alone cannot explain. We propose that startups relying heavily on organization ...

Yet little rigorous evidence exists on whether behavior management can serve as a lever for academic improvement. We evaluate a program that shifts responsibility for establishing behavioral norms and ...

Researchers see the forward-looking version of Campbell-Shiller as a dynamic Gordon model, but this interpretation requires investors to consistently think in present-value terms and to know the cap ...

The paper develops a framework for evaluating credential-coded algorithmic screens under existing civil rights law. AI-powered hiring tools trained on historical data often encode and automate ...

AlphaFold can predict these structures without running experiments. In July 2021, researchers gained access to hundreds of thousands of these AI-predicted structures virtually overnight. Yet, to date, ...