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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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