Course ObjectiveAfter the course, students have an advanced understanding of the
mathematical and statistical concepts underlying regression analysis
(bridging theory and practice - knowledge). They are able to critically
evaluate the quality of empirical research in economic applications
(bridging theory and practice - knowledge & broadening your horizon).
They are also capable of performing empirical research themselves
(academic and research skills, bridging theory and practice -
application & broadening your horizon). The latter implies that they
able to make decisions about the appropriate statistical model, can deal
with real-life data, are aware of the strength and weaknesses of the
model and can estimate and interpret its parameters.
Course ContentThis course makes students familiar with standard microeconometric
methods. These methods are often used in economic research to test
predictions from economic theory. During the course, attention is
devoted both to the theory underlying the different techniques and the
practical application. Theoretical knowledge is examined in the final
exam, while the implementation of the different methods is requested in
an empirical assignment. The software package Stata is used in the
empirical assignment. An important aspect of the course is that students
learn how to interpret estimation results.
Teaching MethodsLectures: 2 lectures per week
Workshops: 1 workshop per week
Method of AssessmentThe all-encompassing practical homework assignment counts for 20% of the
final grade, the written exam for the other 80%. However, the assignment
only counts for the final grade if (i) the grade for the assignment is
higher than the exam grade, and (ii) the exam grade exceeds 5.0. If any
of these conditions is not met, the final grade equals the exam grade.
Entry RequirementsIntroductory course in econometrics at Bachelor level.
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||dr. S. Dobbelaere|
|Examiner||dr. S. Dobbelaere|
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Study Group, Lecture|
This course is also available as: