QM 564QB
Empirical Analysis for Business Strategy
Michael D. Aguilar
Description from DukeHub
Gain exposure to the statistical techniques, primarily causal inference, used to evaluate business outcomes, as well as potential confounding factors and the quasi-experimental methods, such as instrumental variables regression, regression discontinuity, and difference-in-differences estimation, to mitigate their effects. This course is for MSQM: Business Analytics and Accelerated MSQM: Business Analytics students.
Skills
- data and statisticsdescription: "statistical" and 5 more
- leadershiptitle: "strategy"
AI-resilient: 1 of 5
- No: Physical, lab or field work
- No: Live work with people
- Yes: Judgment someone is accountable for · "strategy"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
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