INTERMEDIATE ECONOMETRICS

Code Cours
2324-IÉSEG-BA3S1-QMS-B3-CE04UE
Language of instruction
English
Teaching content
QUANTITATIVE METHODS
Training officer(s)
T.BAUDIN
Stakeholder(s)
Jenifer Amar,
Matthieu Buisine,
Balazs Kotosz,
Dorian Roulet,
Thomas Baudin
Level
Bachelor
Program year
Period

Présentation

Prerequisite
Introduction to Econometrics
Inferential Statistics
Goal
At the end of the course, the student should be able to:
- design econometric modelling process.
- implement and test the OLS methodology.
- achieve statistical analysis using SAS EG
- Avoid pitfalls of the linear regression model.
Presentation
- Chapter 0: Reminder on the Multiple Linear Regression Model
- Chapter 1: Research question, causality and variable selection
- Chapter 2: More on LINE Assumptions (Outliers, Normality tests, Equal Variance Tests)
- Chapter 3: Interaction effects
- Chapter 4: Partial Correlations
- Chapter 5: Reverse causality, Endogeneity and confounding factors

Chapter 6: Statistical writing

Modalités

Organization
Type Amount of time Comment
Présentiel
Cours interactif 16,00
Autoformation
Lecture du manuel de référence 2,00
E-Learning 2,00
Travail personnel
Group Project 10,00
Charge de travail personnel indicative 10,00
Overall student workload 40,00
Evaluation
The evaluation of students has four layers: Participation, a mid-term exam, the evaluation of the group project and a final exam. The group-project will benefit from a mid-term extensive feedback by the professor while feedback on more specific skills acquisition will be given during coaching sessions.
Control type Duration Amount Weighting
Examen (final)
Examen écrit 1,50 1 35,00
Contrôle continu
Participation 0,00 0 20,00
QCM 1,00 1 15,00
Autres
Projet Collectif 0,00 0 30,00
TOTAL 100,00

Ressources

Bibliography
Basic Business Statistics, Berenson & All, Pearson, 2013, chapters 13 14 and 15 (reference handbook) -
Internet resources