Messy Measurement: Approaches to Causal Inference With Unobserved Variables
This dissertation focuses on methods for conducting causal inference when an essential variable is unobserved. The first paper provides new methods for causal inference with bundled variables. A bundled variable is one that, rather than being observed directly, is instead represented as a collection...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2024
|
| Online Access: | https://hdl.handle.net/1721.1/154178 |