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 ...
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 provide the first global, long-run evidence on how war reshapes democratic institutions. Using data on all conflicts since ...
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 ...
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 demonstrate nearly steady trends from 1973-2023 in the U.S. in the timing of when people work for pay, away from evening and night hours toward “usual” daytime hours. The trend is related to ...
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 ...
In addition to working papers, the NBER disseminates affiliates’ latest findings through a range of free periodicals — the NBER Reporter, the NBER Digest, the Bulletin on Health, and the Bulletin on ...
This paper examines the sharp decline in fertility across Latin America using both period and cohort measures. Combining Vital Statistics, Census microdata, and UN population data, we decompose ...
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 ...
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