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Teaching GuideTerm Faculty of Economics and Business |
| Grao en Economía |
 Subjects |
| Statistical Methods and Introduction to Econometrics |
| Contents |
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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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| Topic | Sub-topic |
| 1) Quantitative data analysis | - Preparing data. - Preliminar analysis for statistical and econometric methods: Graphs and measures. - Measures of concentration. |
| 2) Qualitative data analysis | - Preliminar analysis with qualitative variables: Graphs and tables. - Independence tests. - Measures of association for nominal and ordinal variables. - Statistical methods for qualitative variables. |
| 3) Econometrics and econometric models | - Defining Econometrics. - Econometric models and their elements. - Types of models. |
| 4) The classical linear regression model | - One-equation linear regression model. - Model estimation by Ordinary Least Squares. - Interpretation of the estimators and inference. - Goodness-of-fit. Measures. |
| 5) Analysis Of Variance | - General concepts. - One factor: Fixed effects and completely random information. - Two factors: Fixed effects and completely random information. |
| 6) Time series modelling | - Stochastic processes: Definition, general characteristics and examples. - Time series: Decomposition. - Time series: Introduction to ARIMA models. |
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