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April–June 2022
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Commentary on 'Causal Decision Making and Causal Eﬀect Estimation Are Not the Same... and Why It Matters'

There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision... View Details

Keywords: Causal Inference; Treatment Effect Estimation; Treatment Assignment Policy; Human-in-the-loop; Decision Making; Fairness

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My research uses a combination of lab experiments and empirical methods to understand how organizations can design their operations in order to inspire trust. View Details

Keywords: Behavioral Operations; Human-in-the-loop; Algorithm Transparency; Corporate Social Responsibility; Operations Management