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Applied Economics Laboratory

Code 12119
Year 3
Semester S2
ECTS Credits 6
Workload TP(60H)
Scientific area Economics
Entry requirements - Probabilities and Statistics - Statistics applied to Economics - Spreadsheet skills
Mode of delivery Face-to-face
Work placements Not applicable
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).
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
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, 3rd Ed., 2015
- Florian Heiss – Using R for Introductory Econometrics, 2nd edition, 2020
Teaching Methodologies and Assessment Criteria The teaching is face-to-face and the 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 (Excel, Eviews, R and STATA) 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 consists of two tests (40%+60%).
Language Portuguese. Tutorial support is available in English.
Last updated on: 2021-06-15

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