Summer 2022 - ECON 333 D100
Statistical Analysis of Economic Data (4)
Class Number: 2782
Delivery Method: In Person
Course Times + Location:
Mo 8:30 AM – 10:20 AM
EDB 7618, Burnaby
We 8:30 AM – 9:20 AM
EDB 7618, Burnaby
Exam Times + Location:
Aug 12, 2022
12:00 PM – 3:00 PM
SSCB 9201, Burnaby
Prerequisites:ECON 103, ECON 105, ECON 233 or BUS (or BUEC) 232 or STAT 270, MATH 157, all with a minimum grade of C-; 60 units. Students with a minimum grade of A- in ECON 233, BUS (or BUEC) 232 or STAT 270 can take ECON 333 after 30 units. Students seeking permission to enroll based on their ECON 233, BUS (or BUEC) 232 or STAT 270 grade must contact the undergraduate advisor in economics.
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. Quantitative.
: An introduction to the use and interpretation of statistical analysis in the context of data typical of economic applications.
The focus of this course is on linear regression, by far the most common method for analyzing the relationship between variables, applied to economic data. Emphasis will be placed on both the use and interpretation of this technique and dealing with common problems the econometricians face. Topics covered in this course include ordinary least squares, the classical regression model, statistical inference, specification, multicollinearity, serial correlation and heteroskedasticity.
Assignments will be given on a regular basis and will require the use of R, a programming language and free software environment for statistical computing and graphics. We will discuss the software in the beginning of the semester, and information will be posted on CANVAS to assist in learning R.
Course announcements, syllabus, additional notes, recommended practice problems, and assignments will be posted on CANVAS.
- Tutorial Participation 5%
- Online Quizzes 10%
- Assignments 25%
- Midterm Test 25%
- Final Exam 35%
A.H. Studenmund. Using Econometrics: A Practical Guide (7th ed.) Pearson, 2017.
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 firstname.lastname@example.org.
***NO TUTORIALS DURING THE FIRST WEEK OF CLASSES***
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
TEACHING AT SFU IN SUMMER 2022
Teaching at SFU in summer 2022 will involve primarily in-person instruction. Some courses may be offered through alternative methods (remote, online, blended), and if so, this will be clearly identified in the schedule of classes.
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote, online, or blended courses study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.
Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112) as early as possible in order to prepare for the summer 2022 term.