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Teaching GuideTerm Faculty of Economics and Business |
| Grao en Economía |
 Subjects |
| Statistical Methods and Introduction to Econometrics |
| Learning aims |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Statistical Methods and Introduction to Econometrics | Code | 611G01019 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
Second | Obligatory | 6 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| To learn and to manage some of the main statistical methods for dealing with and analyzing any type of economic information, both numerical and qualitative, both time series and cross-section. | A1 A2 A3 A4 A5 A7 A9 A10 A12 A13 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 |
C1 C4 C6 C7 C8 |
| To know and to correctly and accurately use the econometric terminology and language. | A1 A3 A4 A5 A7 A12 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 |
C1 C4 C5 C6 C7 C8 |
| To estimate and to interpret the parameters of the classical linear regression model. To understand how the model behaves and the situations where it should be applied. | A3 A4 A5 A7 A9 A10 A12 A13 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 |
C1 C4 C6 C7 C8 |
| To use the appropriate computer tools for carrying out the calculations and estimating the aforementioned models, both in the part related to Statistical Methods and in the Introduction to Econometrics part. | A9 A10 A11 |
B1 B2 B3 B4 B5 B6 B7 B8 B9 |
C3 C6 C8 |
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