Course 2024-2025
Applied Econometrics [ECONM826]
Objectives
This class aims to familiarize the students with the treatment of various types of datas. As such, different econometrics techniques will be presented, covering cross-sectional, panel, and time-series frameworks. Besides, we will also cover limited and qualitative dependent variables, which require particular econometric modelling and interpretations.
A second objective is to allow students to be autonomous in the analysis of these data. To achieve this, tutorials, monitored by 2 teaching assistants will be organized. These sessions will focus on applying the methods seen in class on real data using the Stata software. Besides, they can serve as discussion room for the homework that has to been handed at the end of the period.
A second objective is to allow students to be autonomous in the analysis of these data. To achieve this, tutorials, monitored by 2 teaching assistants will be organized. These sessions will focus on applying the methods seen in class on real data using the Stata software. Besides, they can serve as discussion room for the homework that has to been handed at the end of the period.
The topics that are covered are a combination of topics typically covered in introductory and more advanced courses in econometrics. While some background in econometrics is helpful, the course is also open to students without prior knowledge of econometrics (but willing to study).
Content
This class will cover different topics, giving the students the opportunity to be in touch with many different econometric specifications, depending on the data they have to handle.The material not covered during the lectures is not part of the final exam.
1) Refresher on linear models
2) GMM and Maximum Likelihood estimation frameworks
3) Endogeneity
4) Qualitative dependent variables
5) Limited dependent variables
6) Panel data
7) Time series analysis
8) Networks econometrics
9) Non linear models
1) Refresher on linear models
2) GMM and Maximum Likelihood estimation frameworks
3) Endogeneity
4) Qualitative dependent variables
5) Limited dependent variables
6) Panel data
7) Time series analysis
8) Networks econometrics
9) Non linear models
Exercises description
6 tutorials will be organized to help students to apply the theoretical concepts seen in class on real data using the Stata software.
These sessions will be monitor by 2 different teaching assistants.
Teaching methods
The course consists of lectures and tutorials. During the tutorials, the econometric methods are further illustrated through examples (typically based on research papers) and you have the opportunity to make exercises based on these examples. We use the software Stata during tutorials.
Finally, there is a homework in which you need to follow the steps of a (simple) empirical project: Identify a research question and associated data, use the appropriate empirical methods; critically interpret the results; and write a short report discussing the results. The tutorials also serve to help you throughout the different steps of this homework.
Evaluations
The evaluation consists of the homework (30%) and a written exam (70%).
The grade for the homework will be split into two: 50% for the written report and 50% for its presentation in front of the professor and teaching assistants.
Recommended readings
The course borrows material from several textbooks. The main one is
Wooldridge, J., 2010, Econometric Analysis of Cross section and Panel Data, The MIT Press, London
The support material will consists of the slides posted on Webcampus.
Language of instruction
EnglishLocation for course
NAMUROrganizer
Faculté des sciences économiques, sociales et de gestionRue de Bruxelles, 61
5000 NAMUR
