SEM2

Course Description

Definition and Scope of econometrics. The methodology of applied econometrics. Simple regression analysis; the ordinary least squares method OLS). Gauss Markov Theorem (BLUE). Econometric application of Single equations, Introduction to Multivariate Linear Regression Models/Multiple regression, Stepwise regression, the use and Interpretation of Correlation, Partial And Multiple Correlation, Errors in Variables and Distributed Lag Models, Introduction to Econometric Problems (Autocorrelation, Heteroscedasticity, and Multicollinearity); Specification. Introduction to Simultaneous applications and a Comprehensive Survey of Identification, Estimation and Hypothesis test in the context of Simultaneous Equation Models; Use of Computer Packages. Forecasting and Simulations. Introduction to discrete choice models.