The task-based approach has become the dominant framework for studying the labor-market effects of artificial intelligence (AI), typically emphasizing the replacement of human workers by machines.
We document and characterize a new history of U.S. federal-level industrial policies by scanning all 12,167 Congressional ...
We propose rational disagreement as a formal framework for analyzing seemingly irrational behavior that can persist despite ...
We provide the first global, long-run evidence on how war reshapes democratic institutions. Using data on all conflicts since ...
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 ...
Technologies such as electricity, semiconductors, and the internet have been transformative, reshaping economic activity and dramatically increasing living standards throughout the world. In some ...
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 ...
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 ...
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 ...
Gender and racial/ethnic gaps in labor market earnings remain large, even among college-goers. Cross-gender and race/ethnic differences in choice of and returns to college major are potentially ...
Do generative AI models, particularly large language models (LLMs), exhibit systematic behavioral biases in economic and financial decisions? If so, how can these biases be mitigated? Drawing on the ...