The aim of this course is to enable the students to examine the relationships between variables according to economic theories, to estimate the relating models, to make statistical tests of the models and to use these findings for decision making purposes. In addition, it is targeted to equip the students with the ability to detect/overcome the basic regression errors and to make predictions for future.

Definition of econometrics, its fields of application, Deterministic and probabilistic models, econometric modeling examples, univariate models, different mathematical forms of regression models, F and t tests, slope and elasticity, multivariate models, basic assumptions of the linear regression model, desired properties of the estimators, errors of regression and diagnostic tests, heteroskedasticity, autocorrelation, multicollinearity, dummy variables, prediction