autumn 2022
SOK-3020 Econometrics - 10 ECTS

Application deadline

Applicants from countries within EU/EEA: June 1st for the autumn semester and December 1st for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester and 15 April for the autumn semester.

Type of course

This course can be taken as a singular course. To be eligible for the singular course, the applicant must meet the admission requirements for the associated master's programme.

Admission requirements

A Bachelor's degree or equivalent in economics. (An example of an equivalent degree can be another bachelor's degree containing a minimum of 80 ECTS in economics.)

· The Norwegian grading system is an A-F scale in which A is the highest score and F is fail. An average grade C from a bachelor degree issued in Norway is the minimum requirement for admission to the master's level for students with Norwegian study background.

· Applicants who hold a bachelor's degree or equivalent issued in Europe, Canada, USA, Australia and New Zealand must have an average grade C as a minimum, or the corresponding numerical mark/percentage score to be considered for admission.

· Applicants who hold a bachelor's degree or equivalent issued in countries other than the above mentioned region/countries must have an average grade B as a minimum, or the corresponding numerical mark/percentage score to be considered for admission.

 Application code 9371

Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

SØ-416 Econometrics I 5 stp
SØ-417 Econometrics II 5 stp

Course content

The course gives an wide introduction to applied econometrics. It introduces the student to methodologies for analyzing economic problems using quantitative methods. There will be an emphasis on linking microeconomic theory to estimation techniques, and interpreting the results of various quantitative exercises using the R software environment for statistical computing and graphics. At the end of this course, students should have become proficient in developing and interpreting linear regression models as applied to a variety of economic problems and data.

Objectives of the course

After completing the course the students have obtained the following:


  • Have advanced understanding of the main methodological techniques of econometrics, including their strengths and limitations.
  • Have a deep understanding of the main empirical models, the theories explaining them, and the empirical literature in selected applied areas.
  • Have a deep understanding of the main estimation procedures, including ordinary least squares, instrumental variables estimation and maximum likelihood estimation.
  • Have an appreciation of the range of more advanced techniques that exist and that may be covered in subsequent econometric courses.


  • Be able to apply econometric tools to modeling, estimation, inference and forecasting in the context of real world economic problems.
  • Be able to apply econometric techniques to test economic theories and measure and estimate relevant economic parameters.
  • Be able to communicate and evaluate econometric results and descriptive statistics in ways that are critical and rigorous.
  • Be able to identify an interesting research problem.


  • Have practical experience of the application of econometric methods, and be able to use relevant software to work with data to estimate and interpret models.
  • Have a rigorous understanding of issues in connecting data, statistics and economic theory.
  • Be able to identify the correct estimation procedure and model for a given economic problem and subsequent data.
  • Be able to formulate and test relevant economic hypotheses, and draw conclusions thereof.
  • Be able to understand relevant econometric research.

Language of instruction and examination


Teaching methods

Lectures and seminars. The students need to be present at campus, and participate in lectures/seminars and possibly group-work. Students should bring a laptop to lectures/seminars.

Information to incoming exchange students

Please see the "Admission requirements" section.


Examination: Date: Duration: Grade scale:
School exam 14.12.2022 09:00
4 Hours A–E, fail F

Coursework requirements:

To take an examination, the student must have passed the following coursework requirements:

Ikomp Approved – not approved
Portifolio of term work Approved – not approved
UiT Exams homepage

More info about the coursework requirements

A portfolio of compulsory term work requirements. One of which is "ikomp", which is an online course in information literacy; Ikomp; Exam.

Re-sit examination

There will be arranged a re-sit exam for this course.
  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: SOK-3020
  • Earlier years and semesters for this topic