Econometrics I

3 credits · Graduate

The fundamentals of estimation and inference in the classical regression model, with applied laboratory sessions using actual economic data. Topics covered typically include: multiple linear and non-linear regression models; least squares; maximum likelihood; instrumental variables; statistical properties of estimators; asymptotic theory; restrictions; measurement error; serial correlation; heteroskedasticity; systems of equations.