Subject: Epidemiology
Course Number: 268
Course Title: Econometric Methods for Causal Inference
Min units: 2      Max units: 3
School: Graduate Division
Department: Epidemiology And Translational Sciences Program
Additional (School) Department: (Medicine) Epidemiology And Biostatistics, (Nursing) Social And Behavioral Sciences, (Global Health) Global Health Sciences

Course Description: Epidemiologists and clinical researchers are increasingly seeking to estimate the causal effects of health-related policies, programs, and interventions. Economists have long had similar interests, and have developed and refined methods to estimate causal relationships. Examples include difference-in-differences, instrumental variables, and regression discontinuity. This course introduces this set of econometric tools and research designs in the context of health-related questions.
Prerequisites: Biostat 200, Biostat 208, Epi 203, or equivalent experience. Experience with Stata. Open to students from any department or program.
Restrictions: None
Activities: Direct - Lecture, Student - Lecture

Instructor of Record: J. White
May the student choose the instructor for this course? No
Does enrollment in this course require instructor approval? No

Quarter(s) Offered: Spring
Course will not be offered in: Spring 2024
Course Grading Convention: Letter Grade, P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
Graduate Division course: Yes
Is this a web-based online course? No
Is this an Interprofessional Education (IPE) course? No
May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
Repeat course for credit? No