Identification and auto-debiased machine learning for outcome-conditioned average structural derivatives
Zequn Jin, Lihua Lin, Zhengyu Zhang
| Year of publication: |
2024
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| Authors: | Jin, Zequn ; Lin, Lihua ; Zhang, Zhengyu |
| 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. 42.2024, 4, p. 1318-1330
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| Subject: | Heterogeneity | Debiased machine learning | Doubly/locally robust score | Local average structural derivative | Semiparametric efficiency bound | Unconditional quantile partial effect | Künstliche Intelligenz | Artificial intelligence | Derivat | Derivative | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | Robustes Verfahren | Robust statistics |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/07350015.2024.2310022 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015533780