The course focuses on utilizing statistical methods, some of which students should already be familiar with (like linear regression), to analyze economic and business data and theories within the field of econometrics. There will be a hands-on application of Stata software. The curriculum also includes examining scenarios where the basic assumptions or prerequisites for Ordinary Least Squares (OLS) to yield valid estimates of relationships between variables are not met. The course will also delve into the significance of accounting for clustered data in applied work, in a variety of situations including longitudinal data contexts. Consequently, we will introduce and utilize panel data structures and estimators on both simulated and real datasets. Finally, examples of Regression-Discontinuity (RD) and Difference-in-Differences (DD) designs will be demonstrated and discussed.
