API 203M - Empirical Methods II Learning Course

[API 203M - Empirical Methods II Learning Course] API 203M - Empirical Methods II: API 203M is an advanced course in empirical methods, focusing on sophisticated statistical techniques and their application to policy analysis. Building on API 202M, this course explores topics such as advanced regression models, time series analysis, and causal inference methods. Students will delve into complex data analysis projects, addressing issues like heteroscedasticity, autocorrelation, and model specification. The course emphasizes hands-on experience with statistical software and the interpretation of empirical results. By mastering these advanced methods, students will be equipped to conduct rigorous empirical research and contribute to evidence-based policy making. This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.