|
SI 2026 Methods Lecture: Estimation and Inference with AI-Generated Data
Organized by James M. Poterba July 30, 2026 Royal Sonesta Hotel, Edwin H. Land Blvd., Cambridge, MA Room: Ballroom B |
| Thursday, July 30 | |
| 3:00 pm |
Measurement in the Age of AI: Discovery, Definition, and Observation |
| 3:40 pm |
Discovery and Hypothesis Generation with Unstructured Data |
| 4:20 pm |
Break
|
| 4:40 pm |
Measurement with Validation Samples: A Missing-Data Perspective
Melissa Dell, Harvard University and NBER |
| 5:20 pm |
Measurement without Random Validation Samples: Multiple Measurements and Data Fusion |
| 6:00 pm |
Adjourn
|
|
Background Reading
Melissa Dell, Deep Learning for Economists Jens Ludwig, Sendhil Mullainathan & Ashesh Rambachan, Large Language Models: An Applied Econometric Framework Jens Ludwig & Sendhil Mullainathan, Machine Learning as a Tool for Hypothesis Generation Jacob Carlson & Melissa Dell, A Unifying Framework for Robust and Efficient Inference with Unstructured Data |