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 ...

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 ...

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 ...

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).

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 ...

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 ...

In December 2025, Australia became the first country to ban youth under 16 years old from holding accounts on major social media platforms, a policy now under consideration in more than a dozen ...

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 ...

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 ...

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, ...

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 ...

This bias is strong enough that regularization of prompt instructions cannot fully address this form of overfitting. We further show that the bias can arise from users’ unintentional conversational ...