Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
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- Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025.
"Generative AI at Work,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
- Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org, revised Nov 2024.
- Brynjolfsson, Erik & Li, Danielle & Raymond, Lindsey R., 2023. "Generative AI at Work," Research Papers 4141, Stanford University, Graduate School of Business.
- Erik Brynjolfsson & Danielle Li & Lindsey R. Raymond, 2023. "Generative AI at Work," NBER Working Papers 31161, National Bureau of Economic Research, Inc.
- Margarita Leib & Nils Köbis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2023. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," ECONtribute Discussion Papers Series 251, University of Bonn and University of Cologne, Germany.
- Douglas Almond & Kenneth Y. Chay & David S. Lee, 2005.
"The Costs of Low Birth Weight,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 1031-1083.
- Douglas Almond & Kenneth Y. Chay & David S. Lee, 2004. "The Costs of Low Birth Weight," NBER Working Papers 10552, National Bureau of Economic Research, Inc.
- Gorodnichenko, Yuriy & Pham, Tho & Talavera, Oleksandr, 2025.
"Central bank communication on social media: What, to whom, and how?,"
Journal of Econometrics, Elsevier, vol. 249(PC).
- Yuriy Gorodnichenko & Tho Pham & Oleksandr Talavera, 2021. "Central Bank Communication on Social Media: What, To Whom, and How?," Discussion Papers 21-05, Department of Economics, University of Birmingham.
- Ahrens, Maximilian & Erdemlioglu, Deniz & McMahon, Michael & Neely, Christopher J. & Yang, Xiye, 2025.
"Mind your language: Market responses to central bank speeches,"
Journal of Econometrics, Elsevier, vol. 249(PC).
- Ahrens, Maximilian & Erdemlioglu, Deniz & Mcmahon, Michael & Neely, Christopher J & Yang, Xiye, 2023. "Mind Your Language: Market Responses to Central Bank Speeches," CEPR Discussion Papers 18191, C.E.P.R. Discussion Papers.
- Maximilian Ahrens & Deniz Erdemlioglu & Michael McMahon & Christopher J. Neely & Xiye Yang, 2023. "Mind Your Language: Market Responses to Central Bank Speeches," Working Papers 2023-013, Federal Reserve Bank of St. Louis, revised 28 Sep 2024.
- Margarita Leib & Nils Kobis & Rainer Michael Rilke & Marloes Hagens & Bernd Irlenbusch, 2023. "Corrupted by Algorithms? How AI-generated and Human-written Advice Shape (Dis)honesty," Papers 2301.01954, arXiv.org.
- Card, David & Sullivan, Daniel G, 1988.
"Measuring the Effect of Subsidized Training Programs on Movements in and out of Employment,"
Econometrica, Econometric Society, vol. 56(3), pages 497-530, May.
- David Card & Daniel Sullivan, 1987. "Measuring the Effect of Subsidized Training Programs on Movements In andOut of Employment," NBER Working Papers 2173, National Bureau of Economic Research, Inc.
- Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
- Cattaneo, Matias D., 2010. "Efficient semiparametric estimation of multi-valued treatment effects under ignorability," Journal of Econometrics, Elsevier, vol. 155(2), pages 138-154, April.
- 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.
- Noailly, Joëlle & Nowzohour, Laura & van den Heuvel, Matthias & Pla, Ireneu, 2024.
"Heard the news? Environmental policy and clean investments,"
Journal of Public Economics, Elsevier, vol. 238(C).
- Joelle Noailly; Laura Nowzohour; Matthias van den Heuvel, 2021. "Heard the News? Environmental Policy and Clean Investments," CIES Research Paper series 70-2021, Centre for International Environmental Studies, The Graduate Institute.
- Niu, Yimeng & Wu, Jing & Jiang, Shenyang & Jiang, Zhibin, 2025. "The bullwhip effect in servitized manufacturers," Other publications TiSEM 638f661c-295a-4ada-8c33-a, Tilburg University, School of Economics and Management.
- Ali Goli & Amandeep Singh, 2024. "Frontiers: Can Large Language Models Capture Human Preferences?," Marketing Science, INFORMS, vol. 43(4), pages 709-722, July.
- Thomas Graeber & Christopher Roth & Florian Zimmermann, 2024.
"Stories, Statistics, and Memory,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 139(4), pages 2181-2225.
- Graeber, Thomas & Roth, Christopher & Zimmermann, Florian, 2022. "Stories, Statistics, and Memory," CEPR Discussion Papers 17683, C.E.P.R. Discussion Papers.
- Thomas Graeber & Christopher Roth & Florian Zimmermann & Thomas W. Graeber, 2022. "Stories, Statistics, and Memory," CESifo Working Paper Series 10107, CESifo.
- Thomas Graeber & Christopher Roth & Florian Zimmermann, 2023. "Stories, statistics, and memory," ECONtribute Policy Brief Series 045, University of Bonn and University of Cologne, Germany.
- Thomas Graeber & Christopher Roth & Florian Zimmermann, 2022. "Stories, Statistics, and Memory," ECONtribute Discussion Papers Series 208, University of Bonn and University of Cologne, Germany.
- Peiyao Li & Noah Castelo & Zsolt Katona & Miklos Sarvary, 2024. "Frontiers: Determining the Validity of Large Language Models for Automated Perceptual Analysis," Marketing Science, INFORMS, vol. 43(2), pages 254-266, March.
- Anderson, Michael, 2008.
"Safety for whom? The effects of light trucks on traffic fatalities,"
Journal of Health Economics, Elsevier, vol. 27(4), pages 973-989, July.
- Anderson, Michael, 2008. "Safety for whom? The effects of light trucks on traffic fatalities," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt1mb4m7qz, Department of Agricultural & Resource Economics, UC Berkeley.
- Yang Chen & Samuel N. Kirshner & Anton Ovchinnikov & Meena Andiappan & Tracy Jenkin, 2025. "A Manager and an AI Walk into a Bar: Does ChatGPT Make Biased Decisions Like We Do?," Manufacturing & Service Operations Management, INFORMS, vol. 27(2), pages 354-368, March.
- Ishita Chakraborty & Khai Chiong & Howard Dover & K. Sudhir, 2025. "Can AI and AI-Hybrids Detect Persuasion Skills? Salesforce Hiring with Conversational Video Interviews," Marketing Science, INFORMS, vol. 44(1), pages 30-53, January.
- Gmyrek, Pawel, & Lutz, Christoph, & Newlands, Gemma,, 2024. "A Technological Construction of Society comparing GPT-4 and human respondents for occupational evaluation in the UK," ILO Working Papers 995347793502676, International Labour Organization.
- Bryan K. Stroube & David M. Waguespack, 2024. "Status and consensus: Heterogeneity in audience evaluations of female‐ versus male‐lead films," Strategic Management Journal, Wiley Blackwell, vol. 45(5), pages 994-1024, May.
- Yimeng Niu & Jing Wu & Shenyang Jiang & Zhibin Jiang, 2025. "The Bullwhip Effect in Servitized Manufacturers," Management Science, INFORMS, vol. 71(1), pages 1-20, January.
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NEP fields
This paper has been announced in the following NEP Reports:- NEP-AIN-2025-06-09 (Artificial Intelligence)
- NEP-BIG-2025-06-09 (Big Data)
- NEP-CMP-2025-06-09 (Computational Economics)
- NEP-ECM-2025-06-09 (Econometrics)
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