Fall 2017 - BUEC 333 D100

Statistical Analysis of Economic Data (4)

Class Number: 8124

Delivery Method: In Person

Overview

  • Course Times + Location:

    Sep 5 – Dec 4, 2017: Thu, 11:30 a.m.–2:20 p.m.
    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:

This course will introduce you to econometrics, which is the statistical analysis of economic data. The main concepts you will learn in this class are how to apply linear regression methods to economic data and how to interpret the results of econometric analysis. We will learn how to answer questions such as: Given data on income and consumption, how can we estimate the price elasticity of demand? How sure are we that this is a good estimate? Given past stock prices, how can we predict future stock prices? How sure can we be of our predictions?  

Grading

  • Weekly Homework 10%
  • Three exams 25% each 75%
  • Two programming assignments 7.5 % each 15%

NOTES:

Weekly homework (10% total), three exams spread out throughout the quarter (25% each), and two programming projects (7.5% each). There will be two programming assignments using R and real data sets – you will be responsible for writing up a code, running it, and interpreting the results.

Cheating of any kind on an assignment/exam will result in an F on the assignment/exam. Repeated cheating will result in at least an F for the course.

Materials

REQUIRED READING:

Stock and Watson, “Introduction to Econometrics”, 3rd edition updated, 2015

Registrar Notes:

SFU’s Academic Integrity web site http://students.sfu.ca/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