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Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

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AuthorsStefan Wager, Susan Athey
JournalJournal of the American Statistical Association
Year2017
DOI10.1080/01621459.2017.1319839
Citations2,737

What Problem It Solves

Provides a canonical overview or reference point for the relevant DoOperator research area.

What problem it solves

Provides a canonical overview or reference point for the relevant DoOperator research area.

How it works

A canonical paper on causal forests and honest tree-based estimation and inference for heterogeneous treatment effects.

When to use it

Use when orienting a new paper, blog post, benchmark, or research plan in this area.

Limitations and failure modes

Do not cite the overview as evidence that a specific method works in a specific deployment setting without checking the underlying primary paper.

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