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Report NEP-AIN-2024-11-25
This is the archive for NEP-AIN, a report on new working papers in the area of Artificial Intelligence. Ben Greiner issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-AIN
The following items were announced in this report:
- Otis, Nicholas G. & Cranney, Katelyn & Delecourt, Solene & Koning, Rembrand, 2024, "Global Evidence on Gender Gaps and Generative AI," OSF Preprints, Center for Open Science, number h6a7c, Oct, DOI: 10.31219/osf.io/h6a7c.
- Ozge Demirci & Jonas Hannane & Xinrong Zhu, 2024, "Who Is AI Replacing? The Impact of Generative AI on Online Freelancing Platforms," CESifo Working Paper Series, CESifo, number 11276.
- Antonio Minniti & Klaus Prettner & Francesco Venturini, 2024, "Unslicing the pie: AI innovation and the labor share in European regions," Department of Economics Working Papers, Vienna University of Economics and Business, Department of Economics, number wuwp369, Oct.
- Erdem Dogukan Yilmaz & Christian Peukert, 2024, "Who Benefits from AI? Project-Level Evidence on Labor Demand, Operations and Profitability," CESifo Working Paper Series, CESifo, number 11321.
- Anthony R. Harding & Juan Moreno-Cruz, 2024, "Watts and Bots: The Energy Implications of AI Adoption," CESifo Working Paper Series, CESifo, number 11360.
- Hunt, Jennifer & Cockburn, Iain & Bessen, James, 2024, "Is Distance from Innovation a Barrier to the Adoption of Artificial Intelligence?," IZA Discussion Papers, IZA Network @ LISER, number 17325, Sep.
- Item repec:ces:ceswps:_11316 is not listed on IDEAS anymore
- Andrea L. Eisfeldt & Gregor Schubert, 2024, "AI and Finance," NBER Working Papers, National Bureau of Economic Research, Inc, number 33076, Oct.
- Kelvin J. L. Koa & Yunshan Ma & Yi Xu & Ritchie Ng & Huanhuan Zheng & Tat-Seng Chua, 2024, "Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes," Papers, arXiv.org, number 2410.17266, Oct, revised Oct 2025.
- Xavier Gabaix & Ralph S J Koijen & Robert Richmond & Motohiro Yogo, 2024, "Artificial intelligence and big holdings data: Opportunities for central banks," BIS Working Papers, Bank for International Settlements, number 1222, Oct.
- Yikai Zhao & Jun Nagayasu & Xinyi Geng, 2024, "Measuring Climate Policy Uncertainty with LLMs: New Insights into Corporate Bond Credit Spreads," DSSR Discussion Papers, Graduate School of Economics and Management, Tohoku University, number 143, Nov.