Evidence Made Easy: Impact Evaluations 2400-INTER-EME-OG

The course, bridges the gap between complex, state-of-the-art methodologies and their practical applications in evidence-based policymaking and research. Designed for an interdisciplinary audience, it offers a comprehensive yet accessible introduction to advanced quantitative techniques. The primary focus is on methods such as randomized control trials (RCTs), regression discontinuity design (RDD), difference-in-differences (DiD), and propensity score matching (PSM), widely regarded as essential tools for rigorous impact evaluation.

The course begins by introducing foundational principles, including the concept of counterfactuals and the importance of triangulating evidence from various sources. Students will gain insights into designing experiments, selecting appropriate methods, and interpreting findings with real-world implications. Additionally, the course covers critical topics such as sample size and power calculations, ensuring participants are equipped to conduct statistically sound research.

Throughout the course, theoretical instruction is complemented by hands-on exercises. Students will also engage in group discussions and deliver presentations, fostering collaboration and the development of critical thinking skills. By the end of the course, participants will not only understand advanced quantitative methodologies but also be able to design and critically evaluate impact evaluations independently.

The content is designed to cater to both beginners looking for a clear introduction to advanced techniques and more experienced participants seeking to enhance their knowledge with cutting-edge methods.