MGMT 709. Designing for Causal Inference.
Credits: 3
Offered by: Management (Graduate Studies)
This course is not offered this catalogue year.
Description
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).
- 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".