Course

Introduction to Econometrics

Faculty
Commerce & Business Administration
Department
Economics
Course code
ECON 4495
Credits
3.00
Semester length
15 Weeks X 4 Hours per Week = 60 Hours
Max class size
35
Method(s) of instruction
Lecture
Typically offered
To be determined

Overview

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 activities

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%.

Students may conduct research as part of their coursework in this class. Instructors for the course are responsible for ensuring that student research projects comply with College policies on ethical conduct for research involving humans, which can require obtaining Informed Consent from participants and getting the approval of the Douglas College Research Ethics Board prior to conducting the research.

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.
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.

Requisites

Prerequisites

BUSN 2429 and ECON 1150 and ECON 1250

Corequisites

No corequisite courses.

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

Course 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.

(Current)

Course Transfers

These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca

Institution Transfer details for ECON 4495
Langara College (LANG) LANG ECON 2XXX (3)

Course Offerings

Winter 2025