Objectives of Programme's Learning Outcomes

• In an active and integrated manner, master knowledge in the various fields of management and use them effectively in a professional context.
• Integrate highly specialised knowledge in different fields of management.
• Appropriately mobilise expertise taking into account the constraints and resources in the situation encountered.
• Be independent and regularly adapt to new contexts.
• Demonstrate independence and persevere, despite the difficulties or initial errors, to find an optimal solution.
• Assess their practices and be able to question it.

Learning Outcomes of UE

At the end of the course, students will be able to use econometric techniques in order to analyse relations (models) explaining how variables related to economic or business issues behave. This way, they will test the existence of significant explanatory variables, estimate their impact and forecast variables under interest. The course will also enable them to interpret results and to use them for policy implications in terms of private or public management and of economic policy.

Content of UE

- Regression analysis : estimation, quality of fit, model selection criteria, testing hypotheses - Problems of multicollinearity, heteroscedasticity and serial correlation : consequences, testing, treating - Specification tests, approaches of modeling - Estimation with qualitative (binary) independent vairiables, seasonal effects and structural changes - Stata econometrical software

Prior Experience

Statistics

Type of Assessment for UE in Q2

• Written examination

Q2 UE Assessment Comments

Evaluation is based on a written examination (100%).   Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.

Type of Assessment for UE in Q3

• Written examination

Q3 UE Assessment Comments

Evaluation is based on a written examination (100%).   Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.