Introduction to Causal Inference

Catalog description

This course provides an introduction to the fundamental problem of causal inference and data-oriented methods to estimate causality. A variety of experimental and quasi-experimental methodologies will be covered in addition to considerations of logic, design, and ethical issues associated with the collection and use of experimental data. The course is designed for students from any major with real-world examples drawn from the social and behavioral sciences, economics and finance, biology, history, anthropology, conflict studies, health, development, and government. Although all analysis skills will be self-contained in the course, it is required that students have completed DATA 3520 : Data Analysis. Other courses in data or statistical analysis may be used to meet the prerequisite requirement with the approval of the instructor.