Skip to content

Machine learning methods that economists should know about

Athey, S., & Imbens, G. W. (2019). Machine learning methods that economists should know about. Annual Review of Economics, 685-725.

Type
Journal article
Intellectual base
Review or monograph
Year
2019
Pages
685-725
DOI
10.1146/annurev-economics-080217-053433
DOI registrant
Annual Reviews
Link
https://doi.org/10.1146/annurev-economics-080217-053433
Cited from
statistics_experimental_design

Cited by

1 citation across 1 artifact.

Each citation links to the sentence it supports in the citing article.

Primes

  • Confounding
    • This sourceReviews ML methods for causal inference, including double/debiased machine learning for high-dimensional confounder adjustment. (Bibliography only — link added.)

Verification

Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.

Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.

Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.

See how references were verified.

Registry ID ref:47ea98a112db · see in the full table