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 ...

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 ...

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 ...

This volume explores the production economic statistics that accurately depict the complex racial and ethnic diversity of the US population in the twenty-first century. The chapters examine the ...

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 ...

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 ...

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 ...

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 ...

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

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 ...