Special Topics: Time Series and Other Quasi-Experimental Designs
- Course Number
- CHL8010H F2
- Series
- 8000 (Special Topics)
- Format
- Lecture
- Course Instructor(s)
- Brice Batomen Kuimi
Course Description
This course will explore various quasi-experimental designs that leverage the timing of natural experiments to evaluate the impact of non-randomized interventions. It will cover pre-post designs, interrupted time series for assessing treated groups without controls, and difference-in-differences methods, including extensions like synthetic control, when control groups are used.
Course Objectives
Learning Outcomes
- Identify context where a Quasi-experimental design can be applied
- Gain an understanding of the theory and applications of several Quasi-experimental design methods for impact evaluation
- Learn how to apply these methods using data and software
- Be able to critically appraise and interpret research studies that apply these designs
Methods of Assessment
| Assignment 1 – Understanding of the basic of causal inference for observational data | 15% |
| Assignment 2 – Performing a Pre-post and Interrupted time-series analyses | 25% |
| Assignment 3 – Performing a Difference-in-difference and a controlled Interrupted time series | 35% |
| Class presentation | 15% |
| Attendance & active participation in class | 10% |