Statistical inference for heterogeneous treatment effects discovered by generic machine learning in randomized experiments
Kosuke Imai and Michael Lingzhi Li
| Year of publication: |
2025
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|---|---|
| Authors: | Imai, Kosuke ; Li, Michael Lingzhi |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 43.2025, 1, p. 256-268
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| Subject: | Causal heterogeneity | Causal inference | Conditional average treatment effect | Cross-fitting | Randomization inference | Sample splitting | Kausalanalyse | Causality analysis | Induktive Statistik | Statistical inference | Künstliche Intelligenz | Artificial intelligence | Stichprobenerhebung | Sampling | Schätztheorie | Estimation theory | Experiment |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2024.2358909 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015533975