Large Language Models as Voting Mechanisms -- by Raša Karapandža, Yaw Nyarko

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2026, 18th Annual Feldstein Lecture, Mark Duggan, "Social Security Reform in an Era of Fiscal Deficits" Primary tabs
  • Acknowledgements and Disclosures

    We thank Professors Guillaume Fréchette and Andrew Schotter, seminar participants at the NYU Development Research Institute (DRI) and Cornell University at the conference in honor of Tapan Mitra, participants at the 2026 Asia Meeting of the Econometric Society, and Matthew O. Jackson, Hervé Crès, and Michihiro Kandori for their very helpful comments and questions. We also thank New York University New York, NYU Abu Dhabi’s Division of Social Science, EBS Business School, and the University Blockchain Research Initiative (UBRI) for research support that aided this work. None of our those listed above or our funders take responsibility for any of the work here and/or any errors, which remain the responsibility of the authors. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.


  • Citation and Citation DataCopy Citation Raša Karapandža and Yaw Nyarko, "Large Language Models as Voting Mechanisms," NBER Working Paper 35839 (2026), https://doi.org/10.3386/w35839. Copy to Clipboard Download Citation
  • Associated Links
SI 2026 Methods Lecture
Using AI in Household Finance Research: A Practical Guide

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本文由NBER于2026年10月1日首次发布。HUE Legacy Ventures 并非本文作者。

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