Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UW-B3-SGEGIG-006-M | Compulsory UE | VOLRAL Mélanie | W718 - Analyse économique du travail |
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
Français | 0 | 0 | 0 | 0 | 0 | 4 | 4 |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
W-AETR-001 | ?% |
Unité d'enseignement | ||
---|---|---|
UW-B2-SGEGIG-007-M Méthodes quantitatives 2 |
Objectives of general skills
- Implement an academic view on knowledge, particularly through the mastery of methods and literature research tools.
- Understand, synthesise and discuss complex information and texts on economics and management.
- Develop and structure reasoning by basing it on suitable scientific arguments
- Actively master the fundamental concepts and models of economic sciences and management sciences
- Understand the methods and tools adapted to the field of economics and management
- Acquire basic methodological tools necessary for scientific inquiry in the field of economics and management.
- Describe the principles of methodological approaches (objectives, methods, techniques and tools) to understand and explain the functioning of organisations and markets.
- Give a critique and argue a point of view as part of a scientific approach
- Critically compare knowledge acquired to real situations.
- Develop and structure reasoning by basing it on suitable scientific arguments
- Demonstrate working and analytical rigour.
- Be rigorous and independent in learning, particularly through adequate planning of activities to be undertaken in order to best utilise the time available.
UE's Learning outcomes
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.
UE Content
- Regression analysis : estimation, quality of fit, model selection criteria, testing hypotheses - Problems of multicollinearity, heteroscedasticity and serial correlation : consequences, testing, treating - Choosing functional forms : logarithms, polynomial, dynamic, logit, interaction terms - Specification tests, approaches of modeling - Estimation with qualitative (binary) independent vairiables, seasonal effects and structural changes - Stata econometrical software
Prior experience
Statistics
Term 1 for Integrated Assessment - type
- N/A
Term 2 for Integrated Assessment - type
- Written examination
Term 3 for Integrated Assessment - type
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- N/A
Type of Teaching Activity/Activities
AA | |
---|---|
W-AETR-001 |
Mode of delivery
AA | |
---|---|
W-AETR-001 |
Required Reading
AA | |
---|---|
W-AETR-001 |
Required Learning Resources/Tools
AA | |
---|---|
W-AETR-001 |
Recommended Reading
AA | |
---|---|
W-AETR-001 |
Recommended Learning Resources/Tools
AA | |
---|---|
W-AETR-001 |
Other Recommended Reading
AA | |
---|---|
W-AETR-001 |
Term 1 Assessment - type
AA | |
---|---|
W-AETR-001 |
Term 1 Assessment - comments
AA | |
---|---|
W-AETR-001 |
Resit Assessment - Term 1 (B1BA1) - type
AA | |
---|---|
W-AETR-001 |
Resit Assessment - Term 1 (B1BA1) - Comments
AA | |
---|---|
W-AETR-001 |
Term 2 Assessment - type
AA | |
---|---|
W-AETR-001 |
Term 2 Assessment - comments
AA | |
---|---|
W-AETR-001 |
Term 3 Assessment - type
AA | |
---|---|
W-AETR-001 |
Term 3 Assessment - comments
AA | |
---|---|
W-AETR-001 |