ECGE1330 - Econometrics
Credits :
4
Lecturer :
Teaching assistant :
Mode of delivery :
Face-to-face , first term, 30 hours of theory and 15 hours of exercises.
Timetable :
First term Monday from 14:00 to 16:00 at 119 Marais 2100 Tuesday from 14:00 to 16:00 at 119 Marais 2100
Language of instruction :
French
Learning outcomes :
The student should be able: - to understand the methods required to solve econometric problems; - to apply basic econometric methods to economic problems; - to use the JMP software.
Prerequisites :
For the Bachelor in Business Engineering :
For the Bachelor in Economics and Management :
Co-requisites :
None
Course contents :
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; Errors-in-variables models; instrumental variables; Introduction to qualitative variables in econometrics: the Probit, Logit and Tobit models.
Planned learning activities and teaching methods :
Lecture
Assessment methods and criteria :
The assessment includes three parts: - a continuous assessment during the first half of the year (exercise sessions); - a group work (JMP); - a written examination in January covering the lecture and the exercises; The student will essentially be assessed on his ability to understand, analyse, comment and critique.
Recommended or required reading :
The course book: R.C. Hill, W.E. Griffiths and Guay C. Lim, Principles of Econometrics, 2007, Wiley, pp. 402.
Other information :
The slides used in class will be made available.
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