Econometric Analysis (IND905)

The course discuss the most important approaches in cross section, time series and panel data econometric at an advanced level. This is followed up by specialization in the area that is most relevant for the individual student`s research project

Course description for study year 2023-2024. Please note that changes may occur.


Course code




Credits (ECTS)


Semester tution start

Spring, Autumn

Number of semesters


Exam semester

Spring, Autumn

Language of instruction



The course will contain topics at the advanced level econometric analysis. The course is intended to bring the student to the research front in an area pertaining to his/her PhD project.

Learning outcome

After completed the course, the student shall have sufficiently detailed knowledge of the topic to conduct empirical analysis at the research front in industrial economics.

Required prerequisite knowledge

Master level courses in Econometrics or statistics

Recommended prerequisites

Econometrics and statistics


Form of assessment Weight Duration Marks Aid
One course paper 1/1 Passed / Not Passed

Course teacher(s)

Course coordinator:

Atle Øglend

Course teacher:

Kristin Helen Roll

Course teacher:

Eric Christian Brun

Head of Department:

Tore Markeset

Open for

Technology and Natural Science - PhD programme

Course assessment

There must be an early dialogue between the course coordinator, the student representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.


Search for literature in Leganto