High Resolution Treatment Effects Estimation: Uncovering Effect Heterogeneities with the Modified Causal Forest

There is great demand for inferring causal effect heterogeneity and for open-source statistical software, which is readily available for practitioners. The mcf package is an open-source Python package that implements Modified Causal Forest (mcf), a causal machine learner. We replicate three well-kno...

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Detalles Bibliográficos
Autores principales: Bodory, Hugo, Busshoff, Hannah, Lechner, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407165/
https://www.ncbi.nlm.nih.gov/pubmed/36010703
http://dx.doi.org/10.3390/e24081039

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407165/
https://www.ncbi.nlm.nih.gov/pubmed/36010703
http://dx.doi.org/10.3390/e24081039

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