Objectives of Programme's Learning Outcomes

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 Q1

• Oral examination
• Written examination

Q1 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 Q2

• Oral Examination
• 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

• Oral examination
• 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.

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable.