Using Large Language Models to Measure U.S. Retirement Plan Design at Scale: Methods and Evidence
Talk, NBER AI and Economic Measurement, Stanford University, Palo Alto, CA, USA
I discuss how large language models can transform labor-intensive data collection in economics by constructing a comprehensive dataset of U.S. retirement plan characteristics from regulatory filings. I then present preliminary results from this novel dataset.