Based on basic courses of statistics elementary and advanced
statistical methods on forecasting and prognostics are presented. Case studies are
focused on macro and microeconomic models and time series analysis. SPSS and Excel software is applied.
1. What is econometrics - introduction.
2. Basic statistical concepts.
3. Simple linear regression model.
4. Multiple linear regression model.
5. Nonlinear regression models, applications in economics.
6. Multicolinearity, heteroskedasticity and autoregression in regression models.
7. Prediction and prognoses in linear regression models.