Research in Commotion: Measuring AI Research and Development through Conference Call Transcripts
Author
Abstract
Suggested Citation
DOI: 10.17016/FEDS.2025.011
Download full text from publisher
References listed on IDEAS
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021.
"The Productivity J-Curve: How Intangibles Complement General Purpose Technologies,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
- Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," NBER Working Papers 25148, National Bureau of Economic Research, Inc.
- Carol Corrado & Charles Hulten & Daniel Sichel, 2005.
"Measuring Capital and Technology: An Expanded Framework,"
NBER Chapters, in: Measuring Capital in the New Economy, pages 11-46,
National Bureau of Economic Research, Inc.
- Carol Corrado & Charles R. Hulten & Daniel E. Sichel, 2004. "Measuring capital and technology: an expanded framework," Finance and Economics Discussion Series 2004-65, Board of Governors of the Federal Reserve System (U.S.).
- Dario Caldara & Matteo Iacoviello, 2022.
"Measuring Geopolitical Risk,"
American Economic Review, American Economic Association, vol. 112(4), pages 1194-1225, April.
- Dario Caldara & Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," International Finance Discussion Papers 1222r1, Board of Governors of the Federal Reserve System (U.S.), revised 23 Mar 2022.
- Matteo Iacoviello, 2018. "Measuring Geopolitical Risk," 2018 Meeting Papers 79, Society for Economic Dynamics.
- David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016.
"Does the United States Have a Productivity Slowdown or a Measurement Problem?,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 109-182.
- David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016. "Does the United States have a productivity slowdown or a measurement problem?," Working Paper Series 2016-3, Federal Reserve Bank of San Francisco.
- David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016. "Does the United States have a Productivity Slowdown or a Measurement Problem," Finance and Economics Discussion Series 2016-17, Board of Governors of the Federal Reserve System (U.S.).
- David H. Autor & Frank Levy & Richard J. Murnane, 2003.
"The skill content of recent technological change: an empirical exploration,"
Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
- David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The Skill Content of Recent Technological Change: An Empirical Exploration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(4), pages 1279-1333.
- David H. Autor & Frank Levy & Richard J. Murnane, 2001. "The Skill Content of Recent Technological Change: An Empirical Exploration," NBER Working Papers 8337, National Bureau of Economic Research, Inc.
- Jushan Bai & Pierre Perron, 1998.
"Estimating and Testing Linear Models with Multiple Structural Changes,"
Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
- Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Kewei Hou & Chen Xue & Lu Zhang, 2015. "Editor's Choice Digesting Anomalies: An Investment Approach," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 650-705.
- Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
- Kevin J. Stiroh, 2002.
"Information Technology and the U.S. Productivity Revival: What Do the Industry Data Say?,"
American Economic Review, American Economic Association, vol. 92(5), pages 1559-1576, December.
- Kevin J. Stiroh, 2001. "Information technology and the U.S. productivity revival: what do the industry data say?," Staff Reports 115, Federal Reserve Bank of New York.
- Elliott Ash & Stephen Hansen, 2023.
"Text Algorithms in Economics,"
Annual Review of Economics, Annual Reviews, vol. 15(1), pages 659-688, September.
- Ash, Elliott & Hansen, Stephen, 2023. "Text Algorithms in Economics," CEPR Discussion Papers 18125, C.E.P.R. Discussion Papers.
- Michael J. Cooper & Orlin Dimitrov & P. Raghavendra Rau, 2001. "A Rose.com by Any Other Name," Journal of Finance, American Finance Association, vol. 56(6), pages 2371-2388, December.
- Babina, Tania & Fedyk, Anastassia & He, Alex & Hodson, James, 2024. "Artificial intelligence, firm growth, and product innovation," Journal of Financial Economics, Elsevier, vol. 151(C).
- Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
- Hayashi, Fumio, 1982.
"Tobin's Marginal q and Average q: A Neoclassical Interpretation,"
Econometrica, Econometric Society, vol. 50(1), pages 213-224, January.
- Fumio Hayashi, 1981. "Tobin's Marginal q and Average a : A Neoclassical Interpretation," Discussion Papers 457, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Paul E. Soto, 2021. "Breaking the Word Bank: Measurement and Effects of Bank Level Uncertainty," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 1-45, April.
- Humlum, Anders & Vestergaard, Emilie, 2024. "The Adoption of ChatGPT," IZA Discussion Papers 16992, Institute of Labor Economics (IZA).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Christoph Riedl & Eric Bogert, 2024. "Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity," Papers 2409.18660, arXiv.org.
- Cederburg, Scott & O’Doherty, Michael S. & Wang, Feifei & Yan, Xuemin (Sterling), 2020. "On the performance of volatility-managed portfolios," Journal of Financial Economics, Elsevier, vol. 138(1), pages 95-117.
- Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2024.
"AI adoption in America: Who, what, and where,"
Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 375-415, March.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Krof & Emin Dinlersoz & Lucia Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," Working Papers 23-48, Center for Economic Studies, U.S. Census Bureau.
- Kristina McElheran & J. Frank Li & Erik Brynjolfsson & Zachary Kroff & Emin Dinlersoz & Lucia S. Foster & Nikolas Zolas, 2023. "AI Adoption in America: Who, What, and Where," NBER Working Papers 31788, National Bureau of Economic Research, Inc.
- Alexander Murray, 2017. "What Explains the Post-2004 U.S.Productivity Slowdown?," CSLS Research Reports 2017-05, Centre for the Study of Living Standards.
- Lu Zhang, 2017.
"The Investment CAPM,"
European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
- Zhang, Lu, 2015. "The Investment CAPM," Working Paper Series 2015-19, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Lu Zhang, 2017. "The Investment CAPM," NBER Working Papers 23226, National Bureau of Economic Research, Inc.
- Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2017.
"The Economics of Value Investing,"
NBER Working Papers
23563, National Bureau of Economic Research, Inc.
- Hou, Kewei & Mo, Haitao & Xue, Chen & Zhang, Lu, 2017. "The Economics of Value Investing," Working Paper Series 2017-16, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
- Cujean, Julien & Andrei, Daniel & Fournier, Mathieu, 2019. "The Low-Minus-High Portfolio and the Factor Zoo," CEPR Discussion Papers 14153, C.E.P.R. Discussion Papers.
- Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019.
"Which Factors?,"
Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
- Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2014. "Which Factors?," NBER Working Papers 20682, National Bureau of Economic Research, Inc.
- Gallipoli, Giovanni & Makridis, Christos A., 2018.
"Structural transformation and the rise of information technology,"
Journal of Monetary Economics, Elsevier, vol. 97(C), pages 91-110.
- Giovanni Gallipoli & Christos A. Makridis, 2017. "Structural Transformation and the Rise of Information Technology," Working Paper series 17-30, Rimini Centre for Economic Analysis.
- Tatsuru Kikuchi, 2024. "Impact Evaluation on the European Privacy Laws governing generative-AI models -- Evidence in Relation between Internet Censorship and the Ban of ChatGPT in Italy," Papers 2407.06495, arXiv.org.
- Kreitmeir, David & Raschky, Paul Anton, 2023.
"The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban,"
SocArXiv
v3cgs, Center for Open Science.
- David H. Kreitmeir & Paul A. Raschky, 2023. "The Unintended Consequences of Censoring Digital Technology -- Evidence from Italy's ChatGPT Ban," Papers 2304.09339, arXiv.org.
- David H. Kreitmeir & Paul A. Raschky, 2023. "The Unintended Consequences of Censoring Digital Technology - Evidence from Italy's ChatGPT Ban," SoDa Laboratories Working Paper Series 2023-01, Monash University, SoDa Laboratories.
- Wang, Qiao & Balvers, Ronald, 2021. "Determinants and predictability of commodity producer returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
- Luca Grilli & Sergio Mariotti & Riccardo Marzano, 2024. "Artificial intelligence and shapeshifting capitalism," Journal of Evolutionary Economics, Springer, vol. 34(2), pages 303-318, April.
- Huynh, Nhan, 2023. "Unemployment beta and the cross-section of stock returns: Evidence from Australia," International Review of Financial Analysis, Elsevier, vol. 86(C).
- Sakemoto, Ryuta, 2023. "The long-run risk premium in the intertemporal CAPM: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
- Iacovone, Leonardo & Pereira-López, Mariana & Schiffbauer, Marc, 2023.
"Competition makes IT better: Evidence on when firms use IT more effectively,"
Research Policy, Elsevier, vol. 52(8).
- Iacovone,Leonardo & Pereira Lopez,Mariana De La Paz & Schiffbauer,Marc Tobias & Iacovone,Leonardo & Pereira Lopez,Mariana De La Paz & Schiffbauer,Marc Tobias, 2016. "Competition makes IT better : evidence on when firms use it more effectively," Policy Research Working Paper Series 7638, The World Bank.
- Long, Huaigang & Chiah, Mardy & Zaremba, Adam & Umar, Zaghum, 2024. "Changes in shares outstanding and country stock returns around the world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
- Stefan Schweikl & Robert Obermaier, 2020. "Lessons from three decades of IT productivity research: towards a better understanding of IT-induced productivity effects," Management Review Quarterly, Springer, vol. 70(4), pages 461-507, November.
- Long, Huaigang & Zaremba, Adam & Zhou, Wenyu & Bouri, Elie, 2022. "Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns," Journal of Financial Markets, Elsevier, vol. 61(C).
More about this item
Keywords
Artificial intelligence; Capital expenditure; Corporate finance; Natural language; Processing; productivity;All these keywords.
JEL classification:
- O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2025-03-10 (Artificial Intelligence)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:2025-11. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.