Estimating Treatment Effects with Causal Forests: An Application

02/20/2019

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We apply causal forests to a dataset derived from the National Study of Learning Mindsets, and consider resulting practical and conceptual challenges. In particular, we discuss how causal forests use estimated propensity scores to be more robust to confounding, and how they handle data with clustered errors.

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Estimating Treatment Effects with Causal Forests: An Application

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Estimating Treatment Effects with Causal Forests: An Application

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