| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-M1-SCINFO-032-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 | |
|---|---|---|---|---|---|---|---|---|
| W-AETR-001 |
Objectives of general skills
- Manage large-scale software development projects.
- Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
- Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
- Manage research, development and innovation.
- Organise and lead a research, development or innovation project to completion.
- Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
- Apply scientific methodology.
- Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
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 1 for Integrated Assessment - comments
Not applicable
Term 2 for Integrated Assessment - type
- Written examination
Term 2 for Integrated Assessment - comments
Written examination (100%)
Term 3 for Integrated Assessment - type
- Written examination
Term 3 for Integrated Assessment - comments
Written examination (100%)
Resit Assessment for IT - Term 1 (B1BA1) - type
- N/A
Resit Assessment for IT - Term 1 (B1BA1) - Comments
Not applicable
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 |