Econometrics I
Objectives
The main goals of this course are:
• To provide students an understanding of econometric models and to enable them to deal with empirical work;
• To prepare students to develop and examine econometric models, namely in what concerns specification, identification and estimation;
• To develop student's ability to interpret empirical results and derivate causal relationships.
General characterization
Code
100049
Credits
6.0
Responsible teacher
Bruno Miguel Pinto Damásio
Hours
Weekly - Available soon
Total - Available soon
Teaching language
Portuguese. If there are Erasmus students, classes will be taught in English
Prerequisites
A. Prerequisite (recommended)
Statistics, Linear Algebra
Bibliography
- Hill, R. C., Griffiths, W. E. e Lim, G. C. (2012). Principles of Econometrics. 4th edition, John Wiley and Sons;
- Wooldridge, J.M. (2013): Introductory Econometrics: A Modern Approach, 5th Edition, South Western Cengage Learning;
- Oliveira, M. et al. (2011). Econometria. Escolar Editora; Greene, W. H. (2012). Econometric Analysis. 7th Edition. Prentice Hall;
- Gujarati, D., Porter, D. (2009). Basic Econometrics. 5th Edition. McGraw-Hill/Irwin.
Teaching method
Expositional and Questioning Methods
Lab classes
Active Methods and Case Studies
Investigation projects and practical applications
Knowledge development and learning capability
Evaluation method
1st Period:
• (50%) Midterm Exam
• (50%) Second Exam
2nd Period:
• (100%) Final exam
Remarks:
1. In the first period, a minimum grade of 9 points in each exam is required for approval.
2. The examination is conducted as a closed book test. A simple calculator is recommended as the instructors may erase calculator's memory at any stage.
Subject matter
1. Introducing Econometrics
2. The Simple Linear Regression Model
3. The Multiple Regression Model
4. Statistical Inference
5. Ordinary Least Squares Asymptotic Properties
6. Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables
7. Heteroskedasticity
8. Specification Analysis