With the diffusion of LLMs between 2022 and 2025, new book releases have tripled, raising a question of AI's impact on book quality. We develop a ratings-based usage measure that is comparable across ...

Against a backdrop of sharply rising inequality, the Tokyo Round of the GATT resulted in a 1.6 percentage point reduction in average US tariffs – larger than CUSFTA, NAFTA, and the liberalization ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Technologies such as electricity, semiconductors, and the internet have been transformative, reshaping economic activity and dramatically increasing living standards throughout the world. In some ...

We examine how workers’ and non-workers’ wellbeing varies by age across 171 countries in eight international surveys. In 103 countries (60%) we find evidence that workers’ wellbeing rises with age and ...

We demonstrate that depositor inattention gives rise to banks’ deposit market power. Using transaction-level data on millions of U.S. depositors, we document that unscheduled income remains in ...

We survey recent research on changing culture and social norms in developing countries and propose a simple framework to interpret these changes. We conceptualize individual utility from a given ...

This paper studies how managers’ gender attitudes shape workplace culture and gender inequality. Using data from a multinational firm operating in over 100 countries, we leverage cross-country manager ...

Students with disabilities (SWDs) encompass a sizable share of charter students and have an array of individualized needs. Charter schools may operate differently than traditional public schools with ...

The structure of US international trade has undergone a dramatic transformation since 2018 when the US began imposing substantial tariffs targeting Chinese imports. This trade policy shift, combined ...

Investors make predictable mistakes when forecasting earnings and stock returns, but machine learning models avoid them through adaptive learning.

The gravity model has been widely used to infer substantial trade flow effects of institutions such as customs unions and exchange rate mechanisms. McCallum [1995] found that the US-Canada border led ...