| Educational guide Faculty of Business and Economics |
english |
| Bachelor's Degree in Economics (2009) |
 Subjects |
| ECONOMETRICS II |
| Learning outcomes |
| IDENTIFYING DATA | 2023_24 |
| Subject | ECONOMETRICS II | Code | 16224115 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Compulsory | Third | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| A2 |
Understand advanced elements of the multiple linear regression model. Identify how the model can be applied to microeconomic problems (individual decisions of agents) and macroeconomic problems (temporal dimension of economic activity). Apply econometric techniques to the empirical analysis of macroeconomic problems. | |
| A3 |
Provide economic and statistical Interpretions of the results obtained from estimating and contrasting hypotheses regarding the behaviour of economic agents. Use statistical-econometric software appropriately. | |
| Type B | Code | Learning outcomes |
| B2 |
Find appropriate solutions. | |
| Type C | Code | Learning outcomes |
| C2 |
Understand the operating system as a hardware manager and the software as a working tool. | |
| C3 |
Have a full understanding of the economic, legal, social and ethical implications of accessing and using information. |
