Economics 320
Econometrics
Fall 2005
Mike Robinson
Office: 128 Skinner
5383085
Office Hours: MW
911 and by appointment.
(I am usually
around so feel free to stop by.)
Email: mailto:mirobins@mtholyoke.edu
Text: Text: Jeffery
M Wooldridge Introductory Economics Thompson 3^{rd} Edition.
Objectives: This course is an extension of previous work in
statistics with emphasis on estimation and statistical inference. Students will be exposed to econometric
theory and applications of econometric techniques. The classical regression model will be examined along with its
problems. SPSS will be the primary
programming language used. The course
goal is for each student to competently employ regression techniques as research
tools and to justify and defend the techniques used.
Lab: Each week a computer lab will be held to aid
the students in the use of the computer.
Problem sets to be done in lab will be handed out each Wednesday and due
the following Wednesday. Absolutely no
late problem sets will be accepted.
They must be in by class on Wednesday.
Course
Requirements:
Problem
Sets (Weekly) 
0% 
First
Midterm (October 17) 
35% 
Second
Midterm (November 25) 
35% 
Final
Paper 
30% 
The
above percentages are suggested and will be adjusted to your benefit if
necessary.
Attendance
(though not counted per se as part of the grade) will be very important!
Research Paper: You should select a topic related to
some economic issue or problem you have been exposed to in another course and
one that interests you. One idea would
be to select a published piece of empirical research and redo the analysis with
new data or a slightly different model.
Often authors may be willing to provide you with the data from their
study if you write and explain your interest.
An advantage of this approach is the ease with which you can compare
your results with those of the original study.
We also have a great deal of data available in the department and the Web
is an excellent data source.
See
the libraries guide to resources in economics for data sources.
http://www.mtholyoke.edu/lits/library/guides/econ.shtml
Another
helpful site is http://www.helsinki.fi/WebEc/
Some
example papers can be found at
Consult
me if you need help with a topic.
A onepage report on the topic with bibliography
should be handed in before October 24 (Please turn in 2 copies  one for me and
one to be returned). First drafts are
due by December 23 and final papers are due by the end of the semester. Students will be required to present their
results in conference format during the final few days of class. Some extra class sessions may be necessary
to provide adequate time for the presentations. Group projects are appropriate
and encouraged.
Course outline and Readings
Listed below are subjects and corresponding
text readings (and a few articles) for the semester
1. Least Squares and Introduction 
Sept. 9 
Chapters 1 



2. Simple Regression 
Sept. 1214 
Chapters 2 



3.Multiple Regression inference 
Sept 1921 
Chapter 34 



4.Asymptotic
Properties of OLS 
Sept. 26 
Chapter 5 



5. Model Specification 
Sept. 28Oct.
5 
Chapter 679 






6. Heteroscedasticity 
Oct. 12 
Chapters 8 



7. Time Series 
Oct. 1719 
Chapters 1012 






First MidTerm 
Oct. 2123. 




8. Advanced TopicsPanel Data 
Oct. 2426 
Chapter 1315 



9. Qualitative Dependent Variables 
Oct. 31Nov. 2 
Chapter 17 



10.
Simultaneous Systems 
Nov.714 
Chapters 1516 






8. Advance Time Series 
Nov. 1621 
Chapter 18 



Second
MidTerm 
Nov. 28 




8. Advanced Topics 
Nov. 30Dec.5 




10. Student Presentations 
Dec. 714 




11. SelfScheduled Final Exam 
Exam Period 

Lab 
Date Done/Due Date 

Statistics Review 
Sept 9/Not Due 




Lab 1 
Sept.
16/Sept. 21 


Data 




Lab 2 
Sept.
23/Sept 28 


Data 
(on ambr/courses) 



Lab 3 
Sept. 30/ Oct. 5 




Lab 4 
Oct. 14/Oct. 19 