Merging LLMs and economics research
We introduce an open-source workflow that enables an LLM to reproduce, improve, and extend an economics article using the article’s published replication package. First, the workflow attempts to reproduce the original calculations, checks for discrepancies with published findings, and performs automated sensitivity analysis. Across 4,452 published replication packages for five economics journals,…
Researchers have unveiled an open-source workflow that allows large language models (LLMs) to replicate, enhance, and broaden economics articles utilizing their published replication packages. The process begins by having the LLM attempt to reproduce the original calculations and then identify any discrepancies with previously published results.
Following this, the workflow proceeds to optimize the original calculations through alternative implementations or algorithms, achieving significant improvements in computation time without compromising accuracy. Additionally, the workflow extends the original analysis by developing novel extensions not present in the article itself, which align well with the article's objectives and assumptions.
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