How to use EconML when we don't know how to distinguish between X and W?
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Description
Hi there,
I have noted the following discussion here: https://github.com/microsoft/EconML/issues/589
What I'm curious about is, in a real scenario, for some FEATURES, I can't know which ones have an effect on T and which ones don't, so how how to use EconML under such situation?
Also, if I set all the FEATURES to X, will it have any bad effect on the final result?
Thanks!
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked discussion in issue #589 and the EconML usage documentation for the roles of X, W, and treatment variables. A useful outcome would be documentation that explains how to choose these feature sets when their relationships to treatment are unknown and the implications of assigning all features to X.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100