About this document
Understanding Multiple Treatment Interference by kasturi.kandalam is a document available to read on EtoBox.
1) This lecture discusses relaxing assumptions made in previous lectures about binary scalar treatment, single time periods, and the stable unit treatment value assumption (SUTVA). 2) It introduces models for multi-valued discrete and continuous treatments, discussing how to define treatment effects between different values and potential challenges in estimation. 3) For discrete multi-valued treatments, the lecture discusses non-parametric estimation using conditioning on observed treatment values, and
- Author
- kasturi.kandalam
- Language
- EN