5.00 credits

30.0 h + 15.0 h

Q2

Teacher(s)

Maystadt Jean-François;

Language

French

Main themes

The course starts by showing students how to use the basic tools of Econometrics with practical examples of the most up-to-date economic models. Students will then see, through the application of the various approaches to time series modelling, the problems involved in recognising apparently significant results which actually have no real content. A number of more advanced but essential tools will also be introduced. Learning to use econo-metric software is also an integral part of this course.

Learning outcomes

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1 | This course is a natural extension of the "Econometrics" course. The principal objective is to study in greater detail and extend training in fields of econometric modelling. Particular stress is put on problems specific to time series modelling, on the basis of methods taught in the "Econometrics" course. |

Content

The course is a hands-on approach to econometric methods. After an introductory lecture on “causal inference”, the course will be organised along 4 questions:

Each thematic lecture will end with a recap on the method used.

**Why are some countries rich, and others are poor?****Is inflation detrimental to growth?****Is the introduction of a minimum wage detrimental to employment?****Natural resources: Curse or blessing?**

Each thematic lecture will end with a recap on the method used.

Teaching methods

The proposed economic questions give us an opportunity to introduce the students basic econometrics methods: Ordinary Least Squares, instrumental variable approach, panel data methods with a particular focus, on difference-in-difference methods of estimation.

By the end of this course, the student will be in a position to:

By the end of this course, the student will be in a position to:

- Understand standard econometric methods and its application to economic data
- Interpret results from regression models and define their limits (identifying assumptions)
- Understand the main intuition behind more advanced methods to draw causal inference (panel, difference-in-difference, instrumental variables, …)
- Perform hands-on applications using available statistical software

Evaluation methods

The assessment will be based on the submission of a written assignment and an oral assessment. The final mark is the arithmetic mean of the marks received for the written work and the oral evaluation. The oral evaluation will consist in measuring the achievement of learning outcomes both on the basis of the written work and on the basis of the course.
Criteria used for the written assignment:
- Capacity to sue Stata (apply methods that go beyond standard OLS)
- Capacity to understand the applied methods
- Originality
- Motivation behind the research question
- Ability to build an original dataset
- Presentation and and care givent o the redaction of the assignment
- Bonus point: Use of Latex
Criteria used for the oral presentation:
- Capacity to explain the written assignment
- Ability to think critically
- Ability to udnerstand the methods applied int he written assignments but also covered during the lectures
The participation of the students in the preparation of the weekly sessions as well as in the practical work will enable the students to prepare for the evaluation, via regular exercises carried out in class. These exercises will count for 5% of the final evaluation (with one bonus point).
During the second session, the work and the presentation will be done on an individual basis but the evaluation criteria remain the same.

Other information

Prerequisite: BAC ECGE Econometrics course

Online resources

Students will be asked to follow a few tutorials on the use of Stata on their own.

Bibliography

Il n'y aura pas de manuel à proprement parler pour ce cours. Des papiers académiques seront donnés pour chaque question économique. Cependant, l'introduction aux méthodes économétriques s'appuiera sur :

- Angrist and Pischke (2015) Mastering Metrics.
- Angrist and Pischke (2009) Harmless Econometrics.
- Wooldridge. Introductory Econometrics

Faculty or entity

**ESPO**

#### Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme

Sigle

Credits

Prerequisites

Learning outcomes

Additionnal module in Economics