Introduction to econometrics
Summary
The course provides an introduction to econometrics. The objective is to learn how to make valid (i.e., causal) inference from economic data. It explains the main estimators and present methods to deal with endogeneity issues.
Content
- Ordinary least square estimator
- Maximum likelihood estimator
- Instrumental variable
- Panel data
- Experiments and quasi-experiments
Keywords
Econometrics; Statistics; Data Analysis; Causality; Data Science
Learning Prerequisites
Important concepts to start the course
Sound understanding of statistics and probability concepts (central limit theorem, hypothesis testing, etc.)
Learning Outcomes
By the end of the course, the student must be able to:
- Recognize pitfalls and bias in data collection and econometric models
- Illustrate the concept of endogeneity
- Check the validity of an econometric result
- Quantify an economic relationship
- Design an appropriate regression model
- Interpret coefficients of econometric regressions
Transversal skills
- Demonstrate a capacity for creativity.
- Demonstrate the capacity for critical thinking
- Use both general and domain specific IT resources and tools
Teaching methods
Lectures provide the theoretical knowledge and exercise sessions illustrate theory using computer exercises.
Expected student activities
- Attendance and participation at lectures and exercise sessions
- Submission of problem sets
Assessment methods
- Individual problem sets: 40%
- Written exam during the exam session : 60%
Supervision
| Office hours | Yes |
| Assistants | Yes |
| Forum | No |
Resources
Virtual desktop infrastructure (VDI)
No
Bibliography
The course will be based on (ref. not compulsory)
- James H. Stock and Mark W. Watson, Introduction to Econometrics, Third Edition (Updated Edition), Pearson. ISBN: 978-0-13348687-2 (http://www.isbnsearch.org/isbn/9780133486872)
Additional useful references:
- Angrist, J.D. and Pischke, J.-S. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press, 2009.
- Cameron, A.C. and Trivedi, P.K. Microeconometrics Using Stata. Stata Press, 2010.
- Greene, W.H. Econometric Analysis. Prentice Hall, 2011.
- Wooldridge, J.M. Introductory Econometrics: A Modern Approach. Cengage Learning, 2012.
Ressources en bibliothèque
- Introduction to econometrics / Stock & Watson
- Introductory econometrics / Woolridge
- Mostly Harmless Econometrics / Angrist (online)
- Mostly Harmless Econometrics / Angrist (print)
- Econometric analysis / Greene
- Microeconomics using Stata / Cameron
Notes/Handbook
Students are provided with lecture slides.
Moodle Link
In the programs
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Introduction to econometrics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Introduction to econometrics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Exam form: Written (summer session)
- Subject examined: Introduction to econometrics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks
- Semester: Spring
- Exam form: Written (summer session)
- Subject examined: Introduction to econometrics
- Lecture: 2 Hour(s) per week x 14 weeks
- Exercises: 2 Hour(s) per week x 14 weeks