MGMT 709 Designing for Causal Inference
3 credits · Management · Graduate Studies · Not scheduled for 2026–2027
Design-based causal inference. Leveraging design choices, rather than statistical models, to establish causal effects in research. Causal inference in quantitative and qualitative research. Topics include the structure of theoretical arguments, measurement, causal graphs, sampling, and study design …
Prerequisites
introductory statistics course
Restrictions
Open only to Ph.D. students. Not open to students who have taken MGMT 710 when topic was "Designing Social Science Research for Causal Inference".
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