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, Mathematics
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
Lectures (Expository and Questioning Methods)
Practical Classes (Demonstration and Active Methods)
Evaluation method
Regular Assessment Period:
- (30%) Midterm Exam
- (35%) Second Exam
- (35%) Term Project
Repeat/Resit Assessment Period:
- (100%) Final exam
or
- (65%) Final Exam + (35%) Term Project
Subject matter
- Introducing Econometrics
- The Simple Linear Regression Model
- The Multiple Regression Model
- Statistical Inference
- Ordinary Least Squares Asymptotic Properties
- Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables
- Heteroskedasticity
- Specification Analysis