Econometrics

Catalog description

This course provides students with a background in econometric theory. The main focus is on theory, but it also covers economic applications of econometric theory using data. Topics covered include the statistical foundations of the linear regression model, the least squares and maximum likelihood estimators as well as the methods to detect and correct potential problems with the classical regression model such as multicollinearity, heteroskedasticity, autocorrelation, and endogeneity. Models with binary regressors and models with qualitative dependent variables are introduced. Panel data models are also reviewed. Some computer assignments provide experience in empirical social science research.