An instrumental variable forest approach for detecting heterogeneous treatment effects in observational studies
Guihua Wang, Jun Li, Wallace J. Hopp
| Year of publication: |
2022
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|---|---|
| Authors: | Wang, Guihua ; Li, Jun ; Hopp, Wallace J. |
| Published in: |
Management science : journal of the Institute for Operations Research and the Management Sciences. - Hanover, Md. : INFORMS, ISSN 1526-5501, ZDB-ID 2023019-9. - Vol. 68.2022, 5, p. 3399-3418
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| Subject: | big data analytics | causal inference | heterogeneous treatment effects | machine learning | Kausalanalyse | Causality analysis | Künstliche Intelligenz | Artificial intelligence | Big Data | Big data | Data Mining | Data mining | Induktive Statistik | Statistical inference | IV-Schätzung | Instrumental variables |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/mnsc.2021.4084 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013368663