Due to the COVID-19 crisis, the information below is subject to change,
in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).

5 credits

30.0 h + 15.0 h

Q1

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

| |

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. |

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: Advanced issues

Chapter 7. Multiple Regression Analysis with qualitative information

Chapter 8. Multiple Regression Analysis: Heteroscedasticity

Chapter 9. Multiple Regression Analysis: Specification and data issues

+ Introduction to the statistical software STATA

Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

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 or online during the quarter. Students are invited to learn the STATA software online at the beginning of the quarter.
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

The exam consists in a written exam in English on 20 points. The exam can be taken in January 2021 and/or August 2021.*If the health situation deteriorates, this evaluation method may evolve into an exclusively online evaluation.*

Other information

Prerequisites:

1) Mathematics in economics and management

2) Statistics in economocmis and management

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),

Jeffrey Wooldridge (2016),

*Introductory Econometrics: A Modern Approach*,__6th Edition__, Cengage Learning.
Faculty or entity

**ESPO**

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

Title of the programme

Sigle

Credits

Prerequisites

Aims

Mineure en statistique et science des données

Minor in Economics

Master [120] in Agriculture and Bio-industries