Econometrics

Teacher(s)

Dejemeppe Muriel;

Language

French

Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.

Main themes

The course covers the basic instruments of econometric analysis at an intermediate (for subjects introduced in previous courses) or introductory level (for new subjects). Examples of how these methods are applied to management problems are given. An important aspect of the course is learning econometric modelling: students are taught how to take a theoretical, abstract and general relation between variables and apply it to the formulation and estimation of a particular concrete form that relation might take in a given context. They will also be introduced to econometric software during the course.

Aims

At the end of this learning unit, the student is able to :
1	This course is intended to give students a background in the theory and practice of Econometrics. The emphasis is on understanding the methods and their relevance to the solution of management problems. By the end of the course, students should be able to use these methods for simple question solving and to interpret the results of an econometric analysis while being aware of the limitations of the methods.

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Content

Regression analysis with cross-sectional data
Chapter 1. General introduction
Chapter 2. The simple regression model
Chapter 3. Multiple Regression Analysis: Estimation
Chapter 4. Multiple Regression Analysis: Inference
Chapter 5. Multiple Regression Analysis: OLS Asymptotics
Chapter 6. Multiple Regression Analysis: Further issues
Chapter 7. Multiple Regression Analysis: Binary (or Dummy) variables
Chapter 8. Multiple Regression Analysis: Heteroscedasticity
+ Introduction to the statistical software STATA

Teaching methods

The non-French speaking students are expected to learn the course content by themselves based on the reference book in English (see below). For these students, two sessions of practical work with STATA (in English) are organized in a computer room during the quarter. Students are invited to participate to an introductory session (in English) to the STATA software at the beginning of the quarter.

Evaluation methods

For the non-French speaking students, the exam consists in two parts: (1) a closed book written exam in English (14 points out of 20), and (2) a closed book practical exam in a computer classroom (6 points out of 20). The exam can be taken in January and/or August.

Other information

Prerequisites:
1) Mathematics in economics and management
2) Statistics in economocmis and management

Online resources

See Moodle UCL (http://moodleucl.uclouvain.be/).

Bibliography

Livre de référence (Reference book):
Jeffrey Wooldridge (2016), Introductory Econometrics: A Modern Approach, 6th Edition, Cengage Learning.

Faculty or entity

ESPO