Corpus ID: 17421999

Machine Learning Methods for Estimating Heterogeneous Causal Effects∗

@inproceedings{Athey2015MachineLM,
  title={Machine Learning Methods for Estimating Heterogeneous Causal Effects∗},
  author={S. Athey and G. Imbens},
  year={2015}
}
  • S. Athey, G. Imbens
  • Published 2015
  • In this paper we study the problems of estimating heterogeneity in causal effects in experimental or observational studies and conducting inference about the magnitude of the differences in treatment effects across subsets of the population. In applications, our method provides a data-driven approach to determine which subpopulations have large or small treatment effects and to test hypotheses about the differences in these effects. For experiments, our method allows researchers to identify… CONTINUE READING
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