Accueil > Econometrics

OAEA 2080 - Econometrics

Type d'enseignement : Lecture alone

Semester : Autumn 2018-2019

Number of hours : 24

Language of tuition : English

Pre-requisite

An introductory undergraduate module in calculus and in probability and statistics.

PLEASE NOTE THE FOLLOWING SCHEDULE:

- Monday 27th August, in the morning from 10:15-12:15 and in the afternoon from 14:30-17:30
- Tuesday 28th August: 14:30-17:30
- Wednesday 29th August: 14:30-17:30
- Thursday 30th August: 14:00-15:00 (Teacher's office hours)
- Friday 1st September: 14:30-17:30

2 sessions will be added during the fall semester. Accurate dates and times will be communicated end of September at the latest.

Course Description

The course covers the basics aspects of econometric analysis of real data with a focus on policy implications. There are two modules available: a beginners module for students new to econometrics and an advanced module for students with a more quantitative. The topics covered are mainly the same in each module but covered with a different level of complexity. Throughout the course some real data examples are studied and a comparison of the different econometric techniques presented is made. These are examples relevant for education and health public sectors, for social policies, and for monetary policies. As potential consequences of these analysis there are effects on fiscal policies, on citizens security and welfare, and on consumers', investors' and government's behavior. We consider different type of data that an econometrician has to be able to handle: cross-sectional, longitudinal and, only for the advanced course, time series. For each type the appropriate models are presented and discussed with a focus on interpretation of results and on estimation. For the advanced module derivation of some asymptotic results is also covered. The regression models considered are: linear, non-linear, panel data, limited dependent variable, instrumental variable, and auto-regressions (only for the advanced course). Basic concepts of probability and statistics will be covered during the first weeks of the course. Each lecture is followed by an applied computer session based on Stata where students learn to implement the techniques presented. This course description is thus valid for both the Econometrics Lectures (OAEA2080) and the Applied Econometrics with Stata classes (KOUT2050/KOUT2055). The main objectives of the course are to teach students to be able to: - Conduct empirical research, i.e. to interpret the information extracted from the data in a critical way ; - Identify economic policy problems that can benefit of quantitative analysis ; - Identify the appropriate method of analysis depending on the data at hand ; - Run statistical tests of hypothesis on real world data and to interpret the results.

Teachers

VICARELLI, Marta (Post doctoral associate)

Course validation

One mid-term exam and one final exam (combined for the lectures and Stata classes).

Required reading

Stock, James H. and Mark W. Watson. Introduction to Econometrics. Pearson Education, 2012

Additional required reading

  • Only for the advanced module: Greene, William H. Econometric Analysis, Prentice Hall
  • Only for the advanced module: Hamilton, James, D. Time Series Analysis. Princeton University Press