Using machine learning to identify heterogeneous impacts of agri-environment schemes in the EU : a case study
Christian Stetter, Philipp Mennig and Johannes Sauer
| Year of publication: |
2022
|
|---|---|
| Authors: | Stetter, Christian ; Mennig, Philipp ; Sauer, Johannes |
| Subject: | Agri-environment schemes | impact evaluation | heterogeneous treatmenteffects | causal machine learning | random forests (RFs) | EU common agricultural policy (CAP) | Künstliche Intelligenz | Artificial intelligence | EU-Agrarpolitik | Common agricultural policy | EU-Staaten | EU countries | Wirkungsanalyse | Impact assessment | Agrarpolitik | Agricultural policy |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1093/erae/jbab057 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013348757