The Potential for Sustained Productivity Impetus from GenAI
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- Michelle Yin & Hoa Vu & Claudia Persico, 2026. "How (un)Stable Are LLM Occupational Exposure Scores? Evidence from Multi-Model Replication," NBER Working Papers 35110, National Bureau of Economic Research, Inc.
- Leland D. Crane & Paul E. Soto, 2026. "AI and Coder Employment: Compiling the Evidence," Finance and Economics Discussion Series 2026-018, Board of Governors of the Federal Reserve System (U.S.).
- Joshua Ettinger & Friederike E. L. Otto & E. Lisa F. Schipper, 2021. "Storytelling can be a powerful tool for science," Nature, Nature, vol. 589(7842), pages 352-352, January.
- Anton Korinek, 2023. "Generative AI for Economic Research: Use Cases and Implications for Economists," Journal of Economic Literature, American Economic Association, vol. 61(4), pages 1281-1317, December.
- Goldfarb, Avi & Taska, Bledi & Teodoridis, Florenta, 2023.
"Could machine learning be a general purpose technology? A comparison of emerging technologies using data from online job postings,"
Research Policy, Elsevier, vol. 52(1).
- Avi Goldfarb & Bledi Taska & Florenta Teodoridis, 2022. "Could Machine Learning be a General Purpose Technology? A Comparison of Emerging Technologies Using Data from Online Job Postings," NBER Working Papers 29767, National Bureau of Economic Research, Inc.
- Shalabh, 2021. "Statistical inference via data science," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 1155-1155, July.
- Trajtenberg, Manuel, 2018.
"AI as the next GPT: a Political-Economy Perspective,"
CEPR Discussion Papers
12721, Centre for Economic Policy Research.
- Manuel Trajtenberg, 2018. "AI as the next GPT: a Political-Economy Perspective," NBER Working Papers 24245, National Bureau of Economic Research, Inc.
- Nordhaus, William D., 2007. "Two Centuries of Productivity Growth in Computing," The Journal of Economic History, Cambridge University Press, vol. 67(1), pages 128-159, March.
- Lipsey, Richard G. & Carlaw, Kenneth I. & Bekar, Clifford T., 2005. "Economic Transformations: General Purpose Technologies and Long-Term Economic Growth," OUP Catalogue, Oxford University Press, number 9780199290895.
- Mitcham, Carl & Emeritus,, 2021. "Science policy and democracy," Technology in Society, Elsevier, vol. 67(C).
- Erik Brynjolfsson & Tom Mitchell & Daniel Rock, 2018. "What Can Machines Learn, and What Does It Mean for Occupations and the Economy?," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 43-47, May.
- Timothy Bresnahan, 2024. "What innovation paths for AI to become a GPT?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 305-316, March.
- Shouhuai Xu & Moti Yung & Jingguo Wang, 2021. "Seeking Foundations for the Science of Cyber Security," Information Systems Frontiers, Springer, vol. 23(2), pages 263-267, April.
- Lisa Mandle & Analisa Shields-Estrada & Rebecca Chaplin-Kramer & Matthew G. E. Mitchell & Leah L. Bremer & Jesse D. Gourevitch & Peter Hawthorne & Justin A. Johnson & Brian E. Robinson & Jeffrey R. Sm, 2021. "Increasing decision relevance of ecosystem service science," Nature Sustainability, Nature, vol. 4(2), pages 161-169, February.
- Jean J. Wang & Sarah X. Shao & Fred Y. Ye, 2021. "Identifying 'seed' papers in sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6001-6011, July.
- Aqsa Saeed & Shaheera Qureshi & Tahira & Waqas Manzoor Bhutta, 2021. "Applications of Nanobiotechnology in Plant Sciences," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 35(1), pages 27236-27240, April.
- Johan S. G. Chu & James A. Evans, 2021. "Slowed canonical progress in large fields of science," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(41), pages 2021636118-, October.
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