SylabUZ
| Course name | ECONOMETRICS |
| Course ID | 04.0-WZ-P-E-S19 |
| Faculty | Faculty of Economics and Management |
| Field of study | WEiZ - oferta ERASMUS |
| Education profile | - |
| Level of studies | Erasmus programme |
| Beginning semester | winter term 2023/2024 |
| Semester | 2 |
| ECTS credits to win | 5 |
| Course type | obligatory |
| Teaching language | english |
| Author of syllabus |
|
| The class form | Hours per semester (full-time) | Hours per week (full-time) | Hours per semester (part-time) | Hours per week (part-time) | Form of assignment |
| Laboratory | 30 | 2 | - | - | Credit with grade |
Knowing step by step how to create econometric model to solve problems described with numbers.
Bacis knowing operations with matrix, basic knowing Excel.
1. Statement of theory or hypothesis.
2. Specification of the mathematical model of the theory
3. Specification of the statistical, or econometric, model
4. Obtaining the data
5. Estimation of the parameters of the econometric model
6. Hypothesis testing
7. Forecasting or prediction
8. Using the model for control or policy purposes.
Exercises on computers.
| Outcome description | Outcome symbols | Methods of verification | The class form |
Solving the problem - strudent receives data and have to build econometric model, than verify and use it.
https://www.sas.upenn.edu/~fdiebold/Teaching104/Econometrics.pdf
Modified by dr Paweł Szudra (last modification: 30-05-2023 10:57)
