Heterogeneous causal effects with imperfect compliance : a Bayesian machine learning approach
Falco J. Bargagli-Stoffi, Kristof De Witte and Giorgio Gnecco
| Year of publication: |
[2021]
|
|---|---|
| Authors: | Bargagli-Stoffi, Falco J. ; De Witte, Kristof ; Gnecco, Giorgio |
| Publisher: |
Leuven : KU Leuven, Department of Economics |
| Subject: | causal inference | instrumental variable | heterogeneous effects | interpretable machine learning | school funding | students' performance | Kausalanalyse | Causality analysis | Künstliche Intelligenz | Artificial intelligence | IV-Schätzung | Instrumental variables | Bayes-Statistik | Bayesian inference | Induktive Statistik | Statistical inference | Bildungsniveau | Educational achievement |
freely available
| Extent: | 1 Online-Ressource (circa 41 Seiten) Illustrationen |
|---|---|
| Series: | Discussion paper series. - Leuven : [Verlag nicht ermittelbar], ZDB-ID 2175286-2. - Vol. DPS21, 13 (December 2021) |
| 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/10012818199