Interpreting real-time labor market conditions is challenging because commonly used indicators are noisy, revised over time, and often send conflicting signals. In practice, policymakers and market ...

We extend the literature on the importance of trust for financial behaviors by examining trust, financial literacy, and financial behavior related to retirement security. Using the Health and ...

Using a panel of confidential corporate tax returns, we provide the first direct estimates of the realized present value of corporate tax benefits from R&D credits and deductions in the United States.

How should an organisation choose the breadth of its experimentation portfolio? Breadth has two distinct margins—the number of paths kept alive, and the degree of contrast among them—and prior ...

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 ...

Distressed firms need urgent financing to preserve operations and avoid inefficient liquidation, but they borrow in concentrated markets shaped by existing-creditor blocking power and a small group of ...

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).

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 ...

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 ...

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 ...

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 ...

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 ...