Summer 2019 - BUEC 333 D100

Statistical Analysis of Economic Data (4)

Class Number: 1943

Delivery Method: In Person

Overview

  • Course Times + Location:

    Mo 10:30 AM – 12:20 PM
    WMC 3520, Burnaby

    We 10:30 AM – 11:20 AM
    AQ 3182, Burnaby

  • Exam Times + Location:

    Aug 9, 2019
    8:30 AM – 11:30 AM
    SWH 10041, Burnaby

    Aug 9, 2019
    8:30 AM – 11:30 AM
    EDB 7618, Burnaby

  • Prerequisites:

    ECON 103 or 200; ECON 105 or 205; BUEC 232 or STAT 270; MATH 157; 60 units.

Description

CALENDAR DESCRIPTION:

An introduction to the use and interpretation of statistical analysis in the context of data typical of economic applications. Students with a minimum grade of A- in BUEC 232 or STAT 270 can take BUEC 333 after 30 units. Students seeking permission to enrol based on their BUEC 232 or STAT 270 grade must contact the Undergraduate Advisor in Economics. Students with credit for ECON/COMM 236 may not take this course for further credit. Quantitative.

COURSE DETAILS:

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 learning R.  

Course announcements, syllabus, additional notes, recommended practice problems, and assignments will be posted on CANVAS.

Grading

  • Tutorial participation 10%
  • Assignments 20%
  • Term test 30%
  • Final examination 40%

Materials

REQUIRED READING:

A.H. Studenmund. Using Econometrics: A Practical Guide (7th ed.) Pearson, 2017.

Registrar Notes:

SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating.  Check out the site for more information and videos that help explain the issues in plain English.

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

ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS