Instrumental variable methods for factorial experiments with complex treatment uptake
- 2024-07-19 (Fri.), 10:30 AM
- 統計所B1演講廳;茶 會:上午10:10。
- 英文演講,實體與線上視訊同步進行。
- 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).
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最後更新日期:2024-07-16 15:42