University of Oregon
Department of Economics
Fall Term 2013
ECN 320
Introduction to Econometrics
[Instructor Name]
Office:
Office Hours:
Phone:
Email:
Website:
Course Description: This course provides an introduction to the process and methods of
econometrics. Econometrics concerns the use of economic data to estimate economic
relationships, to statistically evaluate hypotheses, and to forecast. We want students to not only
understand but also to be able to apply the methods in this course.
Objectives:
1)
2)
3)
4)
The objectives of this course are for the student to:
Gain an understanding of the process of econometrics;
Gain an appreciation of the application of statistical and econometric methods to
economic problems;
Gain a working knowledge of elementary statistics and regression analysis; and
Gain an understanding of the use of computers in econometric models.
Course Text: Dougherty, Christopher, Introduction to Econometrics , 4rd ed., (Oxford University
Press: Oxford, 2011).
Grading: [Example text follows]. There will be a midterm and a final, as well as homework
assignments and announced quizzes. Your final course grade will be determined as follows:
20%
40%
40%
HOMEWORK AND QUIZZES
TWO MIDTERMS [Dates of exams here]
FINAL [Date of exam here]
Labs and Homework:
There is a lab associated with this class. Those signed up for the lab will have use of the
computer lab during specific time periods. The lab will consist of instruction and
computing tips necessary to complete homework assignments as well as topics which
may not be covered during regular class hours. There will be weekly homeworks
designed to reinforce topics covered in class and also to apply the concepts to economic
data. Students will be instructed in the use of STATA, an econometrics software, that is
available in the SSIL lab
Homework assignments are must be handed in at the beginning of class on their due date
and late homework will not be accepted. No makeup exams or quizzes will be given. In
the case of a missed midterm or quiz due to unanticipated emergency situations, the
student will be allowed to put the weight of the missed exam on the final exam, provided I
am notified as soon as possible and verification of the emergency is given. A missed final
due to an unanticipated emergency will be handled with an “incomplete” for the course.
Do not take this class is you already know you cannot make one of the scheduled exams.
Academic Dishonesty Policy: Academic dishonesty (from plagiarizing work to cheating on
exams) will not be tolerated. Please acquaint yourself with the Student Conduct Code, which is
published in the Schedule of Classes each term.
Students with Disabilities: If you have a documented disability and anticipate needing
accommodations in this course, please make arrangements with me during the first week of the
term. Please request that the counselor for students with disabilities (164 Oregon Hall) send me a
letter verifying your disability.
GTF/Lab Instructor:
Office:
Office Hours:
Telephone:
NAME
XXX Prince Lucien Campbell Hall
SSIL LAB Sessions and to be announced.
(541) 346-4660
Outline of Course Material:
The following is a tentative schedule of lectures. The schedule should be viewed as tentative and
may be subject to change throughout the term.
Week
Topic
Reading
1
Introduction to course and Review of Statistics
Review
2-3
Two-Variable Regression Analysis
1
3-4
Classical Regression Model and Hypothesis Testing
2
Midterm-DATE
5-6
Multiple Regression Analysis
3
7
Functional Forms
4
8
Dummy variables
5
Midterm-DATE
9-10
Specification and Review
Final-DATE
6