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Thanks a lot for the package!!!
I would like o ask you, is it possible to use the influence function to get individual treatment effects?
We cannot predict with the `did` package, I would like to ge…
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Hi @kbattocchi ,
I used the following code to calculate the ATE for my panel data (around ~$18).
dml = DynamicDML(model_y=outcome_model,
model_t=treatment_model,
…
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Dear developers of grf:
Hello, I am a student currently working on a project that employs `grf()` package to estimate heterogeneous treatment effects. What I want to ask is whether using `causal_fo…
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Hi!
Great package. Thanks for pulling this off. I was wondering is there is a way to use this package to make individual level treatment effect predictions. That is, I want to know whether I can us…
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Hi!
As far as I understand, there are no models without random effects implemented in the software yet. Is it possible/legitimate to add them?
I do experiments where it is only possible to get on…
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- [x] cross-table with cells per year -> mulitplied with parmeter estimations = total avoided loss (+ evtl. conversion factor to emissions)
- [x] put emissions data to panel structure -> re-estimat…
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Below is my code to estimate treatment effects. There is a much wider confidence interval of ATT (i.e., [-200k, 900k]) by Causal Forest DML model, compared to that calculated by linear DML model (i.e,…
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Issues with the build and deployment of the frontend webpage. The build is failing and when the markdown (.md) files are updated and committed, the .html displayed doesn't updating.
The following …
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The below post is more of a methodological question than a technical one.
Based on what I've gathered, the _honest causal forest_ and _policy tree_ are two distinct yet related methods. Both can ev…