py-why / py-why/EconML

Cluster-robust estimation

Open
#451 5 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Dominant language
Jupyter Notebook
Stars
4.8k
Forks
827
PR merge metrics
No merged PRs in 30d

Description

Hi,
the causal_forest function of the R grf package has a very useful option 'clusters', that allows for cluster-robust estimation.
I wonder if there is any plan to implement this feature in CausalForestDML ?
Thanks

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start at the CausalForestDML entry point and use the R grf causal_forest clusters option as the reference. Determine the intended cluster-robust estimation behavior, then implement and document it and add tests demonstrating that clustered inputs are handled correctly.

Written by the indexing model from the issue text.

Assessment

Tech stack
python, r
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.