Recursive partitioning for heterogeneous causal effects
Recursive partitioning for heterogeneous causal effects
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Publisher
United States: National Academy of Sciences
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Language
English
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Publisher
United States: National Academy of Sciences
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Scope and Contents
Contents
In this paper we propose methods for estimating heterogeneity in causal effects in experimental and observational studies and for conducting hypothesis tests about the magnitude of differences in treatment effects across subsets of the population. We provide a data-driven approach to partition the data into subpopulations that differ in the magnitu...
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Full title
Recursive partitioning for heterogeneous causal effects
Authors, Artists and Contributors
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4941430
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4941430
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.1510489113
