Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same… and Why It Matters”
Edward McFowland ()
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Edward McFowland: Technology and Operations Management, Harvard Business School, Harvard University, Boston, Massachusetts 02163
INFORMS Joural on Data Science, 2022, vol. 1, issue 1, 21-22
Keywords: casual inference; treatment effect estimation; treatment assignment policy; fairness; human-in-the-loop (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:orijds:v:1:y:2022:i:1:p:21-22
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