To present to the students sufficient theoretical background on basic econometric techniques and to prepare students in doing independent research project with computation intensive methods.

A Review of Some Statistical Concepts, Introduction to Classical Regression Model, Least Squares and Projections, Finite Sample Properties of Least Squares Estimators, Normality Assumption and Basic Statistical Inference, Large Sample Properties of Least Squares Estimators, Application: Monte Carlo Simulation, Maximum Likelihood Estimation, Applications of Maximum Likelihood Estimation, Hypothesis Tests for Regression Models: LR, Wald, and LM Tests