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Presentation
Presentation
The main objective of this course is to provide students with introductory knowledge of some of the main econometric techniques used in the analysis of linear economic relationships using cross-sectional data. The aim is for students to master not only the theoretical aspects of these techniques, but also to know how to apply them critically to the concrete analysis of economic problems using real data. Additional objectives include strengthening the ability to incorporate the postulates of economic theory into mathematical and statistical models for quantification, learning the methods and techniques of linear regression analysis from the dual perspective of estimation and inference, and, as far as possible, becoming accustomed to the use of computer tools that support the production of econometric analyses.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
3 | Mandatory | Português
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Code
Code
ULHT32-3509
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
CP1. Introduction; CP2. The Simple Linear Regression Model; CP3. The Multiple Linear Regression Model; 3.1. Least squares estimators of regression coefficients 3.2. Coefficients of determination 3.3. Model assumptions 3.4. Properties of the least squares estimators of the regression coefficients 3.5. Estimator of the variance of the disturbance terms CP4. Statistical analysis of the linear regression model 4.1. Hypothesis tests on individual coefficients 4.2. Hypothesis tests on linear combinations of parameters. 4.3. Joint significance tests 4.4. Tests of equality of coefficients of two regressions CP5. Linear regression model with qualitative explanatory variables; CP6. Heteroscedasticity; CP7. Tests to correct the problem of heteroscedasticity
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Objectives
Objectives
After completing this course, students should have achieved the following learning objectives (LO): LO1. Know how to specify, estimate, test, and interpret linear regression models based on cross-sectional data; LO2. Know how to evaluate and select linear regression models based on cross-sectional data; LO3. Be able to choose and use the most appropriate econometric models, methods and tests for analysing the impact of economic policy measures and exogenous shocks. LO4. Be able to work with econometric packages. LO5. Be able to work in a group and develop theoretically, logically and factually grounded arguments and communicate them to others.
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Teaching methodologies
Teaching methodologies
The following teaching-learning methodologies are used 1. Lectures, for presenting reference econometric models, methods and tests; 2. Participatory, with analysis and resolution of practical exercises, many of which are based on real data; 3. Active, with group work; 4. Experimental with the development and exploration of models using STATA econometric software; 5. Flipped classroom in some (3) class sessions by the student, involving the preparation of a report on econometrics applied to real economies using econometric software.
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References
References
Wooldridge, J.M. (2019), "Introductory Econometrics: A Modern Approach", 7th Ed., Cengage Learning.
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Assessment
Assessment
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Teste de avaliação
29-10-2025
35%
Auto-Estudo -Seesão Invertida
12-11-2025
20%
Teste de avaliação
10-12-2025
45%
Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...
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Mobility
Mobility
Yes




