Rejoinder to “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”

Carlos Fernández-Loría () and Foster Provost ()
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Carlos Fernández-Loría: HKUST Business School, Hong Kong University of Science and Technology, Hong Kong
Foster Provost: NYU Stern School of Business, New York University, New York, New York 10012; Compass Inc., New York, New York 10011

INFORMS Joural on Data Science, 2022, vol. 1, issue 1, 23-26

Abstract: We thank Dean Eckles, Edward McFowland III, and Uri Shalit for their valuable commentaries ( Eckles 2022 , McFowland 2022 , Shalit 2022 ). This note takes a closer look at several of the main points they raised, especially those related to future research on data science for businesses and other organizations.

Keywords: casual inference; causal decision making; causal effect estimation (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:orijds:v:1:y:2022:i:1:p:23-26

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