Applied Causal Inference Powered by ML and AI

Victor Chernozhukov, Christian Hansen, Nathan Kallus, Martin Spindler and Vasilis Syrgkanis

Papers from arXiv.org

Abstract: An introduction to the emerging fusion of machine learning and causal inference. The book presents ideas from classical structural equation models (SEMs) and their modern AI equivalent, directed acyclical graphs (DAGs) and structural causal models (SCMs), and covers Double/Debiased Machine Learning methods to do inference in such models using modern predictive tools.

Date: 2024-03
New Economics Papers: this item is included in nep-big, nep-cmp and nep-ecm
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Citations: View citations in EconPapers (6)

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