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

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  • Uri Shalit

    (Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa 3200003, Israel)

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Suggested Citation

  • Uri Shalit, 2022. "Commentary on “Causal Decision Making and Causal Effect Estimation Are Not the Same…and Why It Matters”," INFORMS Joural on Data Science, INFORMS, vol. 1(1), pages 19-20, April.
    • Handle: RePEc:inm:orijds:v:1:y:2022:i:1:p:19-20
    DOI: 10.1287/ijds.2022.0011
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    References listed on IDEAS

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    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Stefanie Behncke & Markus Frölich & Michael Lechner, 2009. "Targeting Labour Market Programmes - Results from a Randomized Experiment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 221-268, September.
    3. Nathan Kallus, 2021. "More Efficient Policy Learning via Optimal Retargeting," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 116(534), pages 646-658, April.
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