Econometrics

Duration

30h Th, 15h Pr

Number of credits

Lecturer

Bernard Lejeune

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

• Introduction : economics and econometrics
• The simple linear regression model
• Properties of the least squares estimator
• Interval estimation and hypothesis testing
• Prediction, coefficient of determination, units of measurement and functional form
• The multiple linear regression model
• F-test, collinearity and specification issues
• Dummy variables

Learning outcomes of the learning unit

To familiarize students with basic econometrics concepts and methods

Prerequisite knowledge and skills

• Multivariable calculus
• Linear algebra (matrix calculus,...)
• Probability and statistical inference

Planned learning activities and teaching methods

Mode of delivery (face to face, distance learning, hybrid learning)

Blended learning


Additional information:

• Theoretical course : summary podcasts and correction sessions of exercises prepared by students at home
• Practical exercises : podcasts of exercises solved on computer (software: GRETL) and question and answer sessions

Recommended or required readings

• Lejeune B., Econométrie, lecture notes (in french)
• Hill R.C. et al. (2011), Principles of Econometrics, 4th edition, John Wiley and Sons

Assessment methods and criteria

Exam(s) in session

Any session

- In-person

written exam ( multiple-choice questionnaire, open-ended questions )

- Remote

written exam ( multiple-choice questionnaire, open-ended questions )


Additional information:

 Written exam + practical exam on computer

Work placement(s)

Organizational remarks

Contacts

Professor : B. LEJEUNE, building B31, office R.41
Teaching assistant : K. CIOPPA, building B31, office 1.41