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Introduction to Econometrics

Course Code: ECON 4495
Faculty: Commerce & Business Administration
Department: Economics
Credits: 3.0
Semester: 15 Weeks X 4 Hours per Week = 60 Hours
Learning Format: Lecture
Typically Offered: TBD. Contact Department Chair for more info.
course overview

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.

Methods of Instruction

Material will be presented in a lecture format.

Means of Assessment

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

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.

course prerequisites

BUSN 2429 and ECON 1150 and ECON 1250

curriculum guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester/year of the course, consider the previous version as the applicable version.

course schedule and availability
course transferability

Below shows how this course and its credits transfer within the BC transfer system. 

A course is considered university-transferable (UT) if it transfers to at least one of the five research universities in British Columbia: University of British Columbia; University of British Columbia-Okanagan; Simon Fraser University; University of Victoria; and the University of Northern British Columbia.

For more information on transfer visit the BC Transfer Guide and BCCAT websites.


If your course prerequisites indicate that you need an assessment, please see our Assessment page for more information.