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Fall 2026 Search Results

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15.0341 Business Experiments and Causal Analytics
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Undergrad (Spring)
(Subject meets with 15.034)
Prereq: None
Units: 4-0-5
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Looks at predicting and understanding the causal effects of decisions across finance, marketing, human resources, and general business strategy. Develops a toolkit to go beyond correlations and get to causality. Students gain a deeper understanding of designing experiments, modeling natural experiments using multivariate regression, instrumental-variable regression, and machine learning tools including regression trees, random forest, LASSO, and neural networks. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.
J. Doyle, R. Rigobon