This course is
designed to introduce students to the fundamental principles and techniques of
econometric analysis. Econometrics is the application of statistical methods to
economic data in order to analyze and test economic theories and relationships.
This course will provide students with the necessary tools to understand,
estimate, and interpret econometric models. Topics covered include linear
regression, maximum likelihood estimation, method of moments, hypothesis
testing, and bootstrap. Given time, we will also explore theories of causal
inference. The course will also include hands-on experience with statistical
software (R) to analyze real-world economic data.