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Academic year 2014/15
SUBJECT: ECONOMETRICS
MODULE: QUANTITATIVE RESEARCH METHODS
Professor: Yarine Fawaz
Syllabus
Objectives
This class is an introduction to econometrics. As such, it provides an overview of how to
carry out and interpret empirical research. While some mathematical derivations will be
presented, the emphasis will be on gaining an intuitive understanding of the principles of
econometric analysis, rather than on learning to do formal proofs. At the end of this course,
the students should be able to analyze data using the most common estimation techniques
with the help of a statistical software (STATA).
Readings
Wooldridge, Jeffrey M., Introductory Econometrics: A Modern Approach, 2ndedition, 2003.
Angrist, Joshua and Pischke, Jörn-Steffen, Mostly Harmless Econometrics, Princeton, 2009.
Assessment
There will be one final exam. One problem set will be distributed, collected and discussed in
class. You will need to use the statistical program Stata, which is available on the computers
of the computer rooms. In addition, there will be a written project due toward the end of the
term. The project will consist of carrying out a specified empirical project and writing up the
results in the form of a research paper.
Your final grade will be based on the following:
Problem Set 20%
Project 30%
In-Class Exam 50%
Office hours & contact information
You can find me in my office (B3-076 in Departamento de Economia Aplicada) at office
hours: Wednesdays from 2 to 4pm during which time you can stop by without an
appointment. Appointments are also available to meet with me outside of my open office
hours. If you would like to set up an appointment, please contact me by email
(yarine.fawaz@yahoo.fr), or talk to me in class about a mutually agreeable time.
There is a page for this class on my website:
http://www.mwpweb.eu/YarineFawaz/teaching.html. You will find such things as the
powerpoints used in class, problem sets, additional information on the research paper, and
other useful links.
Weekly Schedule(subject to changes)
Week 1: Monday, Nov 10th Wednesday, Nov 12th
Class 1 No class, no office hours.
INTRODUCTION Contact me if you need an appointment this week.
Chapter 1 (Wooldridge)
Week 2: Monday, Nov 17th Wednesday, Nov 19th
Class 2 Class 3
SIMPLE REGRESSION MODEL MULTIPLE REGRESSION
Chapter 2 (Wooldridge) Chapter 3
th th
Week 3: Wednesday, Nov 26 Friday, Nov 28
Class 4 Class 5
MULTIPLE REGRESSION INFERENCE
MODEL Chapter 4
Chapter 3
Week 4: Monday, Dec 1st Wednesday, Dec 3th
Class 6 Class 7
INFERENCE QUALITATIVE VARIABLES
Chapter 4 Chapter 7
Problem set due
th h
Week 5: Wednesday, Dec 10 Monday, Dec 15
Class 8 Class 9
LINEAR PROBABILITY FURTHER ISSUES/ APPLICATIONS (more on
MODEL/INTERACTIONS specification and data problems)
Chapter 7
Week 6: Wednesday, Dec 17th Christmas Break
Class 10 Happy holidays!
th
FURTHER ISSUES/ See you on Friday, January 9 for the final exam.
APPLICATIONS You will hand me your research paper at the same
time.
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