OAGE 2050 - Advanced Econometrics: Panel Series

The general objective of this course is to provide the students an understanding of econometric issues involved in the analysis of panel data. There are two main objectives:

• Theoretical: introduce students to the main panel data econometric methods (FE, RE, IV and GMM estimation) used in the analysis of issues related to economics and finance, in order to equip them with advanced knowledge required for performing empirical analyses.
• Empirical: strengthen the capacities of students to use the STATA econometric software when dealing with empirical research.

Learning Outcomes:

At the end of this course, the students should:

• be able to conduct panel data analysis and interpret the results from these models;
• get critical insight to appraise econometric results obtained by other researchers using panel data;
• be able to carry out good quality applied econometric research using panel data

Professional Skills :

Written communication: Communicating effectively and adequately in writing

Research & Analysis : Collecting and analysing information to increase understanding of a topic or issue

Problem solving: Using generic or ad hoc methods in an orderly manner to find solutions

Data Management : Implementing policies and procedures that put organizations in control of their data

Intermediate knowledge in statistics is required (random variable, estimation, hypothesis testing, …)

Intermediate knowledge in econometrics is required (OLS, Hypothesis testing, …)

Intermediate knowledge in STATA is also required.

All the cases studied during the lecture will be in the field of economics.

Comments on the project sent by mail to each student

Empirical project: students will have to draft a small empirical paper 100%

• In Class Presence: 4 hours a week / 24 hours a semester
• Reading and Preparation for Class: 25 hours a semester
• Research and Preparation for Group Work: 20 hours a semester
• Research and Writing for Individual Assessments: 65 hours a semester