Introduction to Econometrics

The goal is to:
- be able to describe and apply the process of analyzing of economic time series,
- understand the process of modelling the behaviour of economic system based on regression analysis,
- select and use appropriate econometrics methodology - the formulation, estimation, prediction and verification of modelled systems,
- explain the context of the theoretical behaviour of economic systems modelled with empirical results and make appropriate modification of your model,
- use the estimated regression models for forecasting.

1. Time series analysis (the basic characteristics, graphical time series analysis, time series transformation, decomposition of time series)
2. Linear regression models (model formulation, estimation, specification, assumptions, OLS methods)
3. Verification of the estimated regression model (statistical verification, autocorrelation, heteroscedasticity, multicollinearity, economic verification).
4. Forecasting (prediction typology, point and interval prediction, prediction of ex-post and ex ante, forecasting accuracy rate).
5. Testing of residual normality (graphical tests, sophisticated tests).