# Introduction to Econometrics

## Curriculum Guideline

Effective Date:
Course
Discontinued
No
Course Code
ECON 4495
Descriptive
Introduction to Econometrics
Department
Economics
Faculty
Credits
3.00
Start Date
End Term
202030
PLAR
No
Semester Length
15 Weeks X 4 Hours per Week = 60 Hours
Max Class Size
35
Contact Hours
Lectures: 4 Hours
Method(s) Of Instruction
Lecture
Learning Activities

Material will be presented in a lecture format.

Course Description
This course builds on the students’ knowledge of statistics and introduces them to econometric techniques. Topics covered include linear regression, multiple regression and the problems in regression analysis. Emphasis will be placed on application of the methods discussed in lecture.
Course Content
1. Basic concepts of regression analysis.
2. Specification: assumptions of the simple regression model, log-linear, double log formation, etc.
3. The method of ordinary least squares (OLS).
4. The normality assumption.
5. Interval estimation and hypothesis testing.
6. Prediction in the linear regression model.
7. Functional form in the variables.
8. Multiple linear regression: specification.
9. Multiple linear regression: estimation (OLS).
10. Goodness of fit.
11. Interval estimation and hypothesis testing.
12. Linear coefficient restrictions.
13. Functional forms in the variables.
14. Dummy variable regressors and covariance analysis.
15. Errors in multiple regression (OPT).
16. Index numbers.
17. Forecasting and time series.
Learning Outcomes

At the end of the course, the successful student should  be able to:

1. estimate relationships between data utilizing regression techniques;
2. conduct tests related to goodness of fit and independence;
3. explain the potential problems encountered when using regression analysis;
4. develop forecasts using price indexes, smoothing and regression;
5. apply the techniques to economic problems.
Means of Assessment

Minimum of 3 evaluations, none of which will exceed 40%, for a total of 100%.

Textbook Materials

Textbooks and Materials to be Purchased by Students

To be chosen by the instructor from:

• Gujarati, Damodar.  Basic Econometrics, Latest Ed. Toronto: Irwin Publishing.
• Kennedy, Peter.  A Guide to Econometrics, Latest Ed.  The MIT Press.
• Wooldridge, J.  Introductory Econometrics, Latest Ed.  South Western.
Prerequisites