Face-to-face , first term, 45 hours of theory and 15 hours of exercises.

First term
Tuesday from 10:45 to 12:45 at 119 Marais 3100
Thursday from 10:45 to 12:45 at 119 Marais 3100

French

The student should be able to:
- understand basic econometric theory (regression) : identify, define and reproduce methods to estimate basic econometric models;
- understand basic econometric theory : identify and explain basic econometric problems ;
- apply basic econometric methods to economic problems and this using the Gretl software ;
- analyze regression results, compare different models, criticize analyses and model relationships between different variables (in Gretl)

For the Bachelor : Business Engineering :

For the Bachelor in Economics and Management :

None

Introduction :
recap from statistique approfondie and statistique appliquée :
Simple Regression
Multiple regression :
Estimation and properties of estimators; Statistical tests; Analysis of variance (ANOVA);
Forecasting; Regression models with dummy variables;

Relaxing the assumptions of the classical model : Multicollinearity, heteroscedasticity and autocorrelation; Generalized least squares (GLS)

Errors-in-variables models; instrumental variables;
Introduction to qualitative variables in econometrics: the Probit, Logit and Tobit models.

An introduction to panel regression

A) Lectures
During the lectures the theoretical concepts and regression methods will be explained. Regression analyses will be demonstrated using Gretl and the interpretation and analysis of the results will be integrated in the lectures. Students are encouraged to participate to class, answering to questions that are raised.
B) Exercise Classes
During the exercise classes students have the opportunity to perform regression analyses using the Gretl software and interpreting the results under the supervision of a teaching assistant. We recommend the students to review their lecture notes before participating to the exercise sessions.

The evaluation of this course is based on :
1) A three hour written closed book exam (80% of the final mark) based on theoretical concepts and practical econometric applications (using Gretl). Students will be asked to define, identify, and explain theoretical concepts, but also to analyze, interpret, comment and criticize regression results provided.
2) A group assignment (20% of the final mark) during which students need to to apply the theory and perform regression analyses and test in Gretl.

Jeffrey Wooldrige traduction de la 6ième édition américaine par Andre, Beine, Béreau, de la Rupelle, Durré, Gnabo, Heuchenne, Leturcq et Petitjean, 2018 deuxième édition.
ISBN : 978-2-8073-0683-7

On the university's electronic platform the following additional information will be offered:
- a copy of the slides used in class
- the exercises that will be solved during the exercise sessions.