A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History
This NBER working paper by Andreas Ferrara provides a practical guide for using large language models and generative AI in economic history research, including worked examples and replication files.
I am grateful to Humoyun Abdumavlon, Omer Ali, Sascha O. Becker, Stephan Heblich, Sharun Mukand, Max Steinhardt, Patrick A. Testa, Gabby Toborg, and Sebastian Garcia Torres for helpful discussion and comments. Replication files for all worked examples in this guide are available at: https://doi.org/10.3886/E249897V2 The views expressed herein are those of the author and do not necessarily reflect the views of the National Bureau of Economic Research.
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Andreas Ferrara, "A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History," NBER Working Paper 35374 (2026), https://doi.org/10.3386/w35374.
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