Simon Fraser University
Engaging the World

Course Outlines

Fall 2026 - ECON 333 D100

Introduction to Econometrics (4)

Class Number: 1982

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 9 – Dec 7, 2026: Tue, 12:30–2:20 p.m.
    Burnaby

    Sep 9 – Dec 7, 2026: Fri, 12:30–1:20 p.m.
    Burnaby

  • Prerequisites:

    ECON 103 with a minimum grade of C- or ECON 113 with a minimum grade of B-; ECON 233, BUS (or BUEC) 232, STAT 270, or STAT 271, with a minimum grade of C-; MATH 150, MATH 151, MATH 154, or MATH 157, with a minimum grade of C-; 45 units. Students with a minimum grade of A- in ECON 233, BUS (or BUEC) 232, STAT 270, or STAT 271 can take ECON 333 after 30 units. Students seeking permission to enroll based on their ECON 233, BUS (or BUEC) 232, STAT 270, or STAT 271 grade must contact the undergraduate advisor in economics.

Description

CALENDAR DESCRIPTION:

An introduction to the use and interpretation of statistical analysis in the context of data typical of economic applications. Students with credit for BUEC 333 may not take this course for further credit.

COURSE DETAILS:

Introduction

This course provides an introduction to econometric analysis, covering both the theoretical foundations
and practical application of linear regression in economic contexts. Students will learn how to estimate
regression models and how to interpret results critically. All empirical wok is done in R.

Topics Covered
Chapter 1: Introduction
Chapter 2: Review of Probability
Chapter 3: Review of Statistics
Chapter 4: Linear Regression with One Regressor
Chapter 5: Hypothesis Tests and Confidence Intervals (Single Regressor)
Chapter 6: Linear Regression with Multiple Regressors
Chapter 7: Hypothesis Tests and Confidence Intervals (Multiple Regressors)
Chapter 8: Nonlinear Regression Functions
Chapter 9: Assessing Studies based on Multiple Regression
Chapter 11: Regression with a Binary Dependent Variable

Software

The software we will be using in this course is R. R is open source programming language widely used in
data analysis and econometrics.

Grading

  • Assignments 15%
  • Term Tests 45%
  • Final Exam 40%

NOTES:

Assignments

Assignments will be given on a regular basis. These assignments are designed to help you prepare for the
tests and final exam. You may work in a group of up to 2 students in the class. You are required to
submit your assignments via Canvas before specified due dates. Late assignments will not be accepted.

Term tests

Two term tests will be be given and count for 45% of your final grade. There will be no make-up tests. If
a test is missed, and valid documentation is provided within 3 days of the scheduled test date, the weight
of the missed test will be transferred to your final exam. Note, you can only be approved (with valid
documentation) to transfer the weight of one term test to the final exam. Both tests are closed book.

Final Exam

A cumulative final exam will count for 40% of your final grade. This exam is scheduled by the University
during the exam period. The exam is closed book.


Tutorials

Weekly tutorials will be provided by our TA. Participation is not mandatory but it is strongly encouraged
that you attend all the tutorials.

Materials

REQUIRED READING:

Stock, and Watson, Introduction to Econometrics, 4ed., 2019, Pearson.

Department Undergraduate Notes:

Please note that, as per Policy T20.01, the course requirements (and grading scheme) outlined here are subject to change up until the end of the first week of classes.

Final exam schedules will be released during the second month of classes. If your course has a final exam, please ensure that you are available during the entire final exam period until you receive confirmation of your exam dates. 

Students requiring accommodations as a result of a disability must contact the Centre for Accessible Learning (CAL) at 778-782-3112 or caladmin@sfu.ca.

***NO TUTORIALS DURING THE FIRST WEEK OF CLASSES***

Registrar Notes:

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS

At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.

To learn more about the academic disciplinary process and relevant academic supports, visit: 


RELIGIOUS ACCOMMODATION

Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.