Causal Inference with Machine Learning: Examining the Performance of Causal Trees for
 Analysing Heterogenous Treatment Effects

Additional Metadata
Persistent URL	hdl.handle.net/2105/70427
Organisation	Erasmus School of Philosophy
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Moritz Hörl. (2023, November 21). Causal Inference with Machine Learning: Examining the Performance of Causal Trees for Analysing Heterogenous Treatment Effects. Retrieved from http://hdl.handle.net/2105/70427

Causal Inference with Machine Learning