Introduction to Econometrics offers a general introduction to econometric methodology. The course begins with the classical linear regression model. After analyzing the properties of the simple and multivariate regression models, we will delve into a richer class of models to deal with endogeneity, such as IV-regression, and 2SLS-regression. At this point, we will switch gears, and learn basic techniques of time-series data. All topics in the class will be analyzed in two contexts: theory and application. That is, after analyzing the theoretic properties of estimators, we will then apply them to real-life examples and data sets, with emphasis on both visualization and interpretation. The semester will conclude with group projects. Prerequisites ES211, ES212, MS110 or MS111, and MS151 or higher level statistics course.