A comparison and sensitivity analysis of double machine learning methods for treatment effect inference in high-dimensional partially linear settings

Additional Metadata
Keywords	ML; sensitivity; simulation; DML
Thesis Advisor	Koobs, SJ
Persistent URL	hdl.handle.net/2105/73637
Series	Econometrie
Organisation	Erasmus School of Economics
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	Raina, M. (2024, September 18). A comparison and sensitivity analysis of double machine learning methods for treatment effect inference in high-dimensional partially linear settings. Econometrie. Retrieved from http://hdl.handle.net/2105/73637

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