50 hours
This training aims to increase participants’ knowledge and skills in business research using modern methods of econometrics. Lectures will cover basic theoretical knowledge, and classes will cover the application of this theoretical knowledge on real economic indicators. The trainings will be applied to SPSS, Eviews and MS Excell software.
The training is based on five main areas of empirical modeling and forecasting. First, the statistical features of economic indicators are analyzed. Then, the methodology is selected and developed in accordance with the nature and purpose of the indicators. With the selected methodology, indicators are evaluated, scenario analysis is carried out and forecasted. Finally, the results obtained and the source of errors are analyzed.
- Module – 1 Short summary of statistics 5 hours
- Module – 2 Overview of econometric modeling and forecasting 5 hours
- Module – 3 Evaluation of single-variable regression models 5 hours
- Module – 4 Evaluation of multivariate regression models 5 hours
- Module – 5 Difference models 5 hours
- Module – 6 Discrete models: Probit and logit 5 hours
- Module – 7 Features of time series indicators 5 hours
- Module – 8 ARIMA and ARIMAX models: Box Jenkins Methodology 5 hours
- Module – 9 Vector Autoregression Models (VAR) 5 hours
- Module – 10 Analysis of forecast uncertainty and combination of forecasts 5 hours