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Using agents to build economic datasets

Economy
Global
Iniciada May 12, 2026

Constructing datasets from primary sources is one of the costliest tasks in empirical economics. We propose Deep Research on a Loop (DRIL), a methodology that uses AI agents to assemble datasets from publicly available sources. DRIL applies a fixed research instrument across a mapped unit space (e.g., countries by years), with a two-stage architecture separating […] The post Using agents to build economic datasets appeared first on Marginal REVOLUTION. CommentsDon't get me wrong; I think this...

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CLAIM Publicado por admin May 12, 2026
The DRIL methodology can significantly reduce the costs of data collection in economics, enabling more researchers to participate in empirical studies.

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CLAIM Publicado por admin May 12, 2026
While DRIL offers efficiency, it raises questions about the reliability and accuracy of datasets assembled by AI without human oversight.

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CLAIM Publicado por admin May 12, 2026
Relying on AI agents for dataset construction may overlook the nuances of human judgment, leading to potential biases in economic analysis.

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CLAIM Publicado por admin May 12, 2026
Using AI agents like DRIL could democratize access to economic data, allowing smaller institutions to conduct meaningful research.

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CLAIM Publicado por admin May 12, 2026
The implementation of DRIL could lead to a homogenization of data sources, limiting the diversity of perspectives in economic research.

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