Machine learning for treatment effect heterogeneity : recovering partial effects
Elad Guttman, Dor Leventer, Itay Saporta-Eksten, Analia Schlosser
| Year of publication: |
[2023]
|
|---|---|
| Authors: | Guttman, Elad ; Leventer, Dor ; Saporta-Eksten, Itay ; Schlosser, Analia |
| Publisher: |
Tel Aviv, Israel : The Foerder Institute for Economic Research, Tel Aviv University, The Eitan Berglas School of Economics |
| Subject: | Machine Learning | Treatment Effects | Heterogeneous Treatment Effects | CATE | Partial Dependence Plots | Accumulated Local Effects | Kausalanalyse | Causality analysis | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Wirkungsanalyse | Impact assessment | Nichtparametrisches Verfahren | Nonparametric statistics | Mikroökonometrie | Microeconometrics |
| Extent: | 1 Online-Ressource (circa 39 Seiten) Illustrationen |
|---|---|
| Series: | Discussion paper. - Tel Aviv : Tel Aviv University, ZDB-ID 3167630-3. - Vol. no. 2023, 5 |
| Type of publication: | Book / Working Paper |
| Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
| Language: | English |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014342246