multiple treatments confounding
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Description
@vsyrgkanis
for multiple treatments, is it valid to use Treatment A in the propensity model for Treatment B?
for example would we want to estimate f1 as E[T1|X, W T2]?
if T2 is a potential confounder of T1 and Y, I dont think the econML package does this,is this a functionality that could be added? Is there a reason it wasnt, that I am not understanding?
My fear is that if we dont do this we could have co-linearity between the treatment effects in the final stage model
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The issue names no files, tests, or entry points. First clarify the intended multiple-treatment propensity modeling behavior and review the relevant EconML treatment-effect implementation and tests; done would require an agreed design, implementation scope, and validation for the proposed functionality.
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Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100