The objective of this course is to provide students with a solid understanding of econometric methods and the ability to implement these methods using Stata. The course develops practical skills in data management, model specification, model evaluation, and causal inference for empirical research.

Introduction to Stata, data management, and descriptive statistics. Linear regression models, ordinary least squares estimation, and assessment of model assumptions. Model specification strategies, variable selection, and common modeling pitfalls. Panel data methods, limited dependent variable models (logit, probit, ordered logit, and ordered probit), and causal inference approaches. Applications of difference-in-differences, regression discontinuity design, and synthetic control methods. The course culminates in an original empirical research project conducted using Stata.