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NBER Working Papers · September 28, 2026 · On the brief until October 12, 2026

An LLM Workflow That Reproduces, Improves, and Extends Published Economics Research -- by Matthew Schwartz, Isaiah Andrews, Jesse M. Shapiro

EconomicsData ScienceHigher Education
THE AI ANGLE
Auditing replication code and generating research extensions

Researchers built an open-source tool that uses language models to test 4,452 economics replication packages. The system flagged discrepancies in 3,460 papers, sped up calculations in 496, and generated new research extensions in 923. Empirical researchers and students can now run automated checks to verify and build upon published code at scale.

Summary written by AI Business Lens with an AI model from the article at nber.org. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
The finding that an automated tool caught discrepancies in most examined papers challenges how departments teach code auditing and peer review.

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