MGMT 709. Designing for Causal Inference.

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 (e.g., quasi, natural, and field experiments and case studies).