Teaching GuideTerm Faculty of Economics and Business |
Grao en Economía |
Subjects |
Statistical Methods and Introduction to Econometrics |
Contents |
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Identifying Data | 2023/24 | |||||||||||||
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)Introduction to time series | - Stochastic processes: Definition, general characteristics and examples. - Time series: Decomposition. - Time series: Introduction to ARIMA models. |
Cross-cutting theme: EXCEPT group with class in ENGLISH Introduction to programming with R. |
Introduction to programming with R. |
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