Introduction to Econometrics
Introduction to Econometrics gives a thorough introduction of linear regression analysis, the workhorse of applied econometric analysis. The course covers the conceptual framework, the most important formal results and the practical question related to regression analysis. It also introduces an econometric software in order to carry out estimation and testing.
Successful completion of the course enables students to Understand how linear regression is used to estimate causal relationships from observational data. Derive solutions to structured and semi-structured problems related to the specification, estimation and testing of linear regression models. Argue for and against the use of specific control variables in linear regression models. Prove consistency or find asymptotic bias of linear estimators. Understand the logic of sampling variance and distribution of estimators. Carry out simple hypothesis tests in linear models. Estimate the models covered in the course using econometric software, and interpret their results.