a.
Knowledge and Understanding:
1-
Explain the principles of regression analysis.
2-
Discuss the consequences of relaxing the classical linear regression model assumptions (Multicollinearity, Heteroscedasticity, Autocorrelation), and the techniques for dealing with them.
3-
Recognize specific econometric facts, terminologies, principles, relationships, concepts and practical techniques.
4-
Describe statistical procedures and applications on different sets of economic data.
b.
Intellectual Skills:
1-
Analyze economic problems using statistical and econometric methods.
2-
Relate the principles of econometrics and statistics associated with other modules to real world economic examples.
3-
Solve simple problems based on the material presented in the lectures.
4-
Interpret, explain, and evaluate the results of activities, using knowledge and understanding of econometrics and to communicate this information clearly and logically in appropriate forms, using appropriate specialist vocabulary.
5-
Perform simple error estimation.
c.
Professional and Practical Skills:
1-
Use STATA software program to estimate a regression equation, and interpret the results, for bivariate (two-variable) regression models and multiple regression models.
2-
Test hypotheses concerning model parameters as well as testing the significance of the overall model.
3-
Apply statistical procedures and techniques to demonstrate an understanding of the nature of econometrics.
d.
General and Transferable Skills:
1-
Provide research papers with a regression model.
2-
Gain confidence and facility in systematic approaches to problem solving.
3-
Acquire critical thinking and problem solving techniques
