Study programme 2019-2020Français
Econometrics
Programme component of Bachelor's à la Warocqué School of Business and Economics

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UW-B3-SGEGIG-006-MCompulsory UEVOLRAL MélanieW718 - Analyse économique du travail
  • VOLRAL Mélanie

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français281200044.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
W-AETR-001Econometrics2812000Q2100.00%
Programme component
Prérequis

Objectives of Programme's Learning Outcomes

  • 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

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

  • 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 Teaching Activity/Activities

AAType of Teaching Activity/Activities
W-AETR-001
  • Cours magistraux
  • Travaux pratiques

Mode of delivery

AAMode of delivery
W-AETR-001
  • Face to face

Required Reading

AA
W-AETR-001

Required Learning Resources/Tools

AARequired Learning Resources/Tools
W-AETR-001Not applicable

Recommended Reading

AARecommended Reading
W-AETR-001Travaux Pratiques - Econométrie : travaux pratiques - Mélanie Volral, Alexandre Waroquier
,Note de cours - Econométrie - Mélanie Volral

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
W-AETR-001Not applicable

Other Recommended Reading

AAOther Recommended Reading
W-AETR-001Ramanathan, R. (2008), Introductory Econometrics with Applications, Harcourt College Publishers Wooldridge, J. (2009), Introductory Econometrics : A Modern Approach, South-Western

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
W-AETR-001Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de génération : 13/07/2020
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be