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Is it possible to include variables that only moderate but do not confound the relationship between T and Y?
Using the CausalForestDML, I would like to include an additional moderator to explain the heterogeneity of the treatment effect, but since it is also a mediator, I can't include it in X. I hope this makes sense.
Any thoughts and workarounds would be greatly appreciated. Thanks in advance!
The text was updated successfully, but these errors were encountered:
If you want to use it for heterogeneity you could still add it to X while changing your model_t to something like a pipeline where the first step is a ColumnTransformer that drops that column and the second step is your actual model.
However, if the variable is downstream of T, then such a CATE model will probably not be of much use in a policy setting, for example, because you can't make treatment decisions based on the unknown value of that variable at treatment time.
Hi!
Is it possible to include variables that only moderate but do not confound the relationship between
T
andY
?Using the
CausalForestDML
, I would like to include an additional moderator to explain the heterogeneity of the treatment effect, but since it is also a mediator, I can't include it inX
. I hope this makes sense.Any thoughts and workarounds would be greatly appreciated. Thanks in advance!
The text was updated successfully, but these errors were encountered: