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## Statistique et économétrie I

• Teacher(s):
• English title: Statistics and Econometrics I
• Course given in: French
• ECTS Credits: 6 credits
• Schedule: Autumn Semester 2022-2023, 2.0h. course + 2.0h exercices (weekly average)
•  sessions
•  course website
• Related programmes:
Bachelor of Science (BSc) in Economics

Bachelor of Science (BSc) in Management

Bachelor (BSc) in Economic Sciences

[warning] This course syllabus is currently edited by the professor in charge. Please come back in a few days. --- For your information only, here is the old syllabus :

### Objectives

The goal of this course is to provide an introduction to econometric theory and methods. In particular, we discuss the most important estimator: ordinary least squares -- OLS.

### Contents

The course has three main objectives:

• The first objective is to understand the intuition, the mathematical basis, and the properties of the OLS estimator. We begin with a revision of the OLS estimator in the simple linear regression model, and we introduce two fundamental concepts: the asymptotic properties of the OLS estimator that provide the basis for hypothesis tests. We generalize these concepts to the multiple linear regression model. We also discuss extensions of the OLS estimator involving panel data and instrumental variables. A good understanding of the mathematical basis is important for more advanced courses and for independently applying the methods developed in this course.
• The second objective is to learn how to interpret the estimated results, how to translate an empirical hypothesis into a statistical model, and how to interpret the results of hypothesis tests. This knowledge is important for all advanced courses in management, finance, and economics that make reference to empirical studies.
• The third objective is to develop presentation skills: to prepare solutions for statistical and econometric problems sets and to present them in small groups. The ability to explain your reasoning, to communicate your theoretical and empirical results, and to interpret them in a concise way are three qualities that set you apart from graduates in other fields. For that reason, we will put a lot of emphasis on this third objective.

### References

Stock, James and Mark Watson (2007, 2015), Introduction to Econometrics, Pearson Publishers.

### Term project

- Type of project : not available
- Maximum number of projects admitted for this course : -
- Deadline for applying to course professor for project : -
- Deadline for submitting finished project : -
- Method of evaluation (including resit options) : -
- Other information : -

### Evaluation

#### First attempt

Exam:
Written 2 hours
Documentation:
Not allowed
Calculator:
Not allowed
Evaluation:

The evaluation consists of two parts: 70% of the final grade will be based on a written final exam. 30% will be based on group work in the exercise sessions.

The written final exam will last two hours. Documentation: not allowed. Calculator: not allowed.

The derivations, proofs, and calculations shown during class in addition to the slides are an integral part of this course and, consequently, are relevant for the exam. The same applies to all applications and exercises.

For the evaluation of the group work the following rule applies: Out of two groups that had to prepare the solutions for an exercise one will be randomly selected. The presentation of this randomly selected group will be evaluated with a score ranging from 0 to 10. The other group has to hand in its written solution which will also be evaluated with a score. Overall, the average score obtained for the group work contributes 30% of the final grade. The presence of the group members that had to prepare a presentation and a written solution will be verified. The score obtained for the presentation or the written solution only counts for the group members that are present. If all members of a group are absent, each of them gets a score of 0.

The modalities of the exam may change depending on the COVID-19-sitution.

#### Retake

Exam:
Written 2 hours
Documentation:
Not allowed
Calculator:
Not allowed
Evaluation:

For the second attempt, the same conditions apply for the retake exam as for the written exam of the first attempt.

For the evaluation of group work, the following rule will apply: if the evaluation of the candidate's group work is higher than the one of the retake exam, the final grade is based on the same weighting as in the first attempt. Otherwise, only the result of the retake exam counts towards the final grade. In other words, for the second attempt, the evaluation of the group work only counts if it increases the candidate's final grade.

The modalities of the retake exam may change depending on the COVID-19-sitution.

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