Instrumental variable methods for factorial experiments with complex treatment uptake
- 2024-07-19 (Fri.), 10:30 AM
- Auditorium, B1F, Institute of Statistical Science;The tea reception will be held at 10:10.
- Lecture in English. Online live streaming through Cisco Webex will be available.
- Prof. Nicole Pashley
- Department of Statistics, Rutgers University
Abstract
There is a well-established literature dealing with noncompliance in treatment-control designs within the potential-outcome framework for causal inference. However, generalizing to experiments with more than two treatment arms and noncompliance remains a challenge with limited exploration. The focus of this talk will be noncompliance in two-level factorial designs. The talk will discuss why this setting is so challenging, propose different assumptions to learn about relevant estimands, and explore identification and inference results under these assumptions. This is joint work with Matthew Blackwell (Harvard University).
Please click here for participating the talk online.
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Update:2024-07-16 15:43