| Educational guide Faculty of Business and Economics |
english |
| Bachelor's Degree in Economics (2009) |
 Subjects |
| ANALYSIS OF MACROECONOMIC DATA |
| Learning outcomes |
| IDENTIFYING DATA | 2023_24 |
| Subject | ANALYSIS OF MACROECONOMIC DATA | Code | 16224213 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | Third | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| A2 |
Apply econometric techniques to the empirical analysis of problems related to business reality. | |
| A3 |
Learn the advanced elements of the linear regression model and multi-equation models. Identify how models can be applied to macroeconomic problems (temporal and spatial dimension of economic activity). Use econometric software appropriately. | |
| Type B | Code | Learning outcomes |
| B3 |
Be aware of the limitations and weak points of their work processes and methods. Apply innovative techniques and obtain results. | |
| B4 |
Do the work planned in accordance with the quality criteria provided. Suggest ways of improving the quality of work. | |
| Type C | Code | Learning outcomes |
| C3 |
Have a full understanding of the economic, legal, social and ethical implications of accessing and using information. |
