| Code |
14797
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| Year |
3
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| Semester |
S1
|
| ECTS Credits |
6
|
| Workload |
TP(60H)
|
| Scientific area |
Economics
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|
Entry requirements |
- Probabilities and Statistics
- Statistics applied to Economics
- Spreadsheet skills
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|
Learning outcomes |
- Familiarize students with the instruments and techniques for the construction and interpretation of econometric models.
- Develop the knowledge of econometric topics that are essential for carrying out work of a theoretical and empirical nature.
- To design and develop strategies to adapt the studied methods to real problems.
- To initiate students in the use of widely used programs in the academic and professional field (Eviews, R and STATA).
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|
Syllabus |
1. Introduction: object and methodology of econometrics
2. Data analysis and transformation
3. Linear regression model (LRM)
3.1 Correlation and causality
3.2 Violation of assumptions
3.3 Quality of fit
3.4 Confidence intervals
3.5 Hypothesis tests
4.Model evaluation and diagnostic tests
4.1 F test
4.2 Coefficient of determination
4.3 Test for normality
4.4 Multicollinearity
4.5 Heteroscedasticity
4.6 Structure permanence tests
5.Some extensions of LRM
5.1 Functional form of regression models.
5.2 Binary variables.
5.3 Descriptive models of trend and seasonality.
5.4 Coefficients tests of two regressions.
5.5 Robust least squares method.
5.6 Weighted Least Squares Method.
6.Models with Qualitative Dependent Variable
6.1 Introduction: binary choice models
6.2 Linear Probability Models
6.3 Probit and Logit Models
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Main Bibliography |
Wooldridge, Jeffrey M., Introductory econometrics: a modern approach. 7th ed., South-Western/Cengage Learning, 2019
Asteriou, Dimitrios e Hall, Stephen G., Applied Econometrics, Palgrave Macmilan, 4th Ed., 2021
Florian Heiss – Using R for Introductory Econometrics, 2nd edition, 2021
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Teaching Methodologies and Assessment Criteria |
Teaching is face-to-face and classes are theoretical and practical. The class is of initial theoretical exposition with immediate application of the models and tests using software. Use of appropriate econometric software (mainly Excel, Eviews and R) to estimate and test more complex subjects.
Students should attend classes weekly to assimilate the main econometric tools and develop a critical spirit of result interpretation. Students are expected to participate actively in discussions of the examples given in class.
The evaluation is continuous and consists of two frequencies (40%+60%).
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Language |
Portuguese. Tutorial support is available in English.
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