Course 2016-2017 a.y.

Course Objectives

The course provides an introduction to the use of econometric methods in economics. A good knowledge of undergraduate Mathematics and Statistics is required. Matrix algebra are  reviewed in depth. The main topics studied in the course are the linear regression model, parameter estimation and hypothesis testing, model specification and model selection. The topics are addressed both from a theoretical point of view and by means of computer based empirical applications.

Course Content Summary

• The linear regression model
• Specification, underlying hypotheses
• Parameter estimation, one regressor case
• Parameter estimation, many regressors case
• Interpreting the estimated parameters
• Properties of the estimators
• Analysis of variance, R2
• Interval estimation Hypothesis testing, the t- and F-tests
• Collinearity, omitted variables, redundant variables Examples
• Matrix algebra

Textbooks

• W.H.GREENE, Econometric Analysis,  Prentice Hall, 2007, 6th edition.
• J.M. WOOLDRIDGE, Introductory econometrics, SOUTH WESTERN-CENGAGE, 2009, 4TH edition.