Agents build economic datasets

Updated: 2026.05.12 3H ago 1 sources
Researchers can deploy autonomous AI agents to execute a fixed coding instrument across countries/years, find and cite primary sources, and assemble structured datasets with documented gaps and uncertainty. A two‑stage design (instrument design + agent implementation) plus evidence policies lets small teams (or a single subscription) produce research‑grade data at a fraction of current cost. — If adopted widely, agentized dataset construction could lower barriers to empirical research, shift demand for human research assistants, and change which claims get defended by traceable evidence.

Sources

Using agents to build economic datasets
Tyler Cowen 2026.05.12 100% relevant
The NBER working paper (Afonso et al.)’s DRIL run produced 129 sources and 136 evidence records for a 2025 tax‑expenditure update across eight countries at the cost comparable to a few hours of RA work.
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