ECON
570: Economic Applications of
Statistical Analysis
(Last Updated: Dec 06, 2010)
Instructor: Saraswata
Chaudhuri
Email: saraswata_chaudhuri@unc.edu
Office:
Gardner 305 B
Office Hours:
Tu Thr, 2:00 4:00 (just walk in)
Tu, Thr, 11:15 12:15 (by
appointment)
Lecture Hours
And Location: Tu Thr, 12:30 1:45, Gardner 307
Textbook: Introduction to
Econometrics (3^{rd} edition) by Christopher Dougherty
Software: STATA
Prerequisite: ECON 400
Course
Objective and Description:
This course is designed to teach you how to conduct meaningful inference based on data.
While the primary focus of the course is empirical, it is important for you to
be familiar with the theory behind the empirical techniques. Hence the lectures
will cover materials that are both applied and theoretical in nature.
Application of the different techniques learned in this course is not
restricted to the field of Economics.
Grading
Policy:
Your final grade will be based on 8 homeworks,
a group project, two midterms and a final examination. The distribution of
weights is:
Homework 20%
Midterm 1 20%
Midterm 2 20%
Project 20%
Final 20%
Total 100%
I will use the following algorithm, without any exception,
to assign the letter grades based on your total score:
Score out of 100 
>= 90 
89 85 
84 80 
79 75 
74 70 
69 65 
64 60 
59 55 
50 54 
< 50 
Letter Grade 
A 
A 
B+ 
B 
B 
C+ 
C 
C 
D 
F 
Homework Submission Policy:
You are welcome
to discuss the homework with your classmates, but each enrolled student should
submit a separate copy of the solutions to the assigned problems. However, it
is best to keep in mind that your classmate is not going to take the midterm
and final exams for you, so try to solve the homework on your own before you
discuss them with other people. This should be a good practice for the exams. If you cannot attend the lecture when the
homework is due, then make sure to ask someone else to turn in your homework
for you. I will not accept any late submission. To avoid annoying my grader,
please write your solutions neatly and attach all the pages of your homework in
order.
Group Project:
The idea behind
the group project is to train you for collaborative work, which is the norm in
most industries and fields of research. Depending on the number of groups (none
should have more than 5 students) there is a possibility of oral presentation
of the project. Note that an oral presentation of the project proposal and a
written (final) report of the project are mandatory, but you will submit a
single project report for each group. We will discuss more on the project on
the first day of the lecture.
Some Useful Links from Dr. Stephen LichTylers ECON
570 Class:
(2)
How to order Stata
with the student discount
(3)
How to import CPS data into Stata
(4)
How to import NLSY data into Stata
(5)
Descriptions of microdata
sources
(6)
Some links for additional data
sources
Tentative
Schedule:
Date 
Lecture 
Reading 
Homework 
Project 
Aug 24 
Introduction and Review of Statistics 
Review Chapter 


Aug 26 
Review of Statistics 
Review Chapter 


Aug 31 
Idea behind least squares 
Chapter 1 


Sep 2 
Simple Regression and STATA tutorial 
Chapter 1 


Sep 7 
Simple Regression and Hypothesis
Testing 
Chapters 1 and 2 


Sep 9 
Hypothesis Testing 
Chapter 2 


Sep 14 
Multiple Regression 
Chapter 3 


Sep 16 
Other Issues with Regression 
Chapters 4 and 5 


Sep 21 
Other Issues with Regression 
Chapters 4 and 5 


Sep 23 
Based on Chapters 1 5 
Let me know your team 

Sep 28 
Heteroskedasticity 
Chapter 7 


Sep 30 
Heteroskedasticity 
Chapter 7 


Oct 5 
Endogeneity and Instrumental Variables 
Chapters 8 and 9 
HW
 4 due  Stata 

Oct 7 
Endogeneity and Instrumental Variables 
Chapters 8 and 9 
Preliminary Project Proposal Due 

Oct 12 
Endogeneity and Instrumental Variables 
Chapters 8 and 9 


Oct 14 
Discussion on Project and Review for
Midterm 
HW 5 due  Stata 


Oct 19 
Based on Chapters 7 9 


Oct 26 
Binary Choice Models 
Chapter 10 
Final Project Proposal Due 

Oct 28 
Binary Choice Models 
Chapter 10 


Nov 2 
Introduction to Time Series 
Chapter 11 

Be ready to present with the
regression results from your project. Write a two page summary of the results
and let me know if you have any questions. 
Nov 4 
Regressions with serially correlated
errors 
Chapter 12 

Nov 9 
Regressions with serially correlated
errors 
Chapter 13 

Nov 11 
Panel Data 
Chapter 14 

Nov 18 
Panel Data 
Chapter 14 

Nov 23 
Panel Data and Discussion on Project 
Chapter 14 

Nov 30 
Present your results from the project
(along with a short introduction, and discussion on econometric methodology
and conclusion). 25 minutes for each group. 

Dec 2 

Dec 7 
Review for Final 
Chapters 1 14 
Final
project report due 