| Course Description |
The main goal of this course is to introduce students to the
fundamental principles and techniques of econometrics through practical
examples. The course will introduce the basis of the classical linear
regression model; assumptions, the problems of estimation and inference,
violation of the assumptions of the model. The aim of this course is to
familiarize students with the basic concepts and techniques used in
econometrics with practical applications. To enhance the analytical skills of
students to interpret the regression results, the lectures will focus on both
the theoretical and empirical aspects of regression analysis. |
| General objective of the course |
The aim of this course is to familiarize
students with the basic concepts and techniques used in econometrics with
practical applications. To enhance the analytical skills of students to
interpret the regression results, the lectures will focus on both the
theoretical and empirical aspects of regression analysis.s. |
| Learning
Outcomes |
On successful completion of this course, all students will have
developed knowledge and understanding of: |
| Economic Data |
| Simple Linear Regression
Estimation |
| Multiple Linear Regression
Estimation |
| Testing Hypotheses about
Parameters |
| Testing Multiple Linear
Restrictions |
| On successful completion of this course, all
students will have developed their skills in: |
| Expressing Economic Relations as
Econometric Models |
| Using Appropriate Methods to Deal
with Violations of Model Assumptions. |
| Using Eviews Software in
Econometric Analysis. |
| On successful completion of this course, all
students will have developed their appreciation of and respect for values and
attitudes regarding the issues of: |
| understanding the Reasoning
behind the Assumptions of a Basic
Econometric model |
| Using statistical inference in
econometric model building, estimating, and testing |