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Annie Liang authored a forthcoming JEL article titled "Using Machine Learning to…

2026-08-02 · 14:00 UTC ·@sndurlauf ·0 min read

Brief

Annie Liang's forthcoming Journal of Economic Literature article, "Using Machine Learning to Generate, Clarify, and Improve Economic Models," synthesizes recent research on applying machine learning and computational methods to build, test, and refine economic models. AEA Journals posted the paper and @sndurlauf praised it (2026-08-02) as a well-written synthesis signaling an important new research frontier.

Why it matters

Annie Liang authored a forthcoming JEL article titled "Using Machine Learning to Generate, Clarify, and Improve Economic Models," posted by AEA Journals (link id starts 10.12...), that surveys how ML and computational techniques contribute to economic model development.

Key details

  • Twitter user @sndurlauf (2026-08-02) calls Liang's piece "beautifully written," saying it synthesizes important work on ML in economic modelling and describes the topic as a "very exciting new horizon."
Source evidence

This beautifully written article by Annie Liang synthesizes the important work that has emerged on the use of machine learning in economic modelling. A very exciting new horizon.

AEA Journals (@AEAjournals)

Forthcoming in the JEL: "Using Machine Learning to Generate, Clarify, and Improve Economic Models" by Annie Liang. aeaweb.org/articles?id=10.12…

Link

Using Machine Learning to Generate, Clarify, and Improve Economic Models

(Forthcoming Article) - This article examines how machine learning and other computational techniques can contribute to the development of economic models. First, comparing economic models to...
aeaweb.org

— https://nitter.net/AEAjournals/status/2082119376350621711#m