Høst 2024

SOK-3020 Econometrics - 10 stp

The course is administrated by

Handelshøgskolen ved UiT

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.

Course overlap

SØ-417 Econometrics II 5 ects

Course contents

The course provides a general 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 on interpreting the results of various quantitative exercises using the R software for statistical computing and graphics. By the end of the course, students should have become proficient in specifying, estimating, and interpreting linear regression models as applied to a variety of economic problems and data.

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

Objective of the course

Knowledge

The student has

advanced understanding of the most important methodological techniques in econometrics, including their strengths and limitations.
deep understanding of the most important empirical models, the theories that explain them, and the empirical literature in selected applied areas.
deep understanding of the most important estimation procedures, including the ordinary least squares method and maximum likelihood estimation.
in-depth knowledge of the range of more advanced techniques that exist and that may be covered in subsequent courses in econometrics.

Skills

The student can

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

Competence

The student

has practical experience with the application of econometric methods, and can use relevant software to work with data to estimate and interpret models.
has a thorough understanding of the issues involved in linking data, statistics, and economic theory.
can identify the correct estimation procedure and model for a given economic problem and subsequent data.
can formulate and test relevant economic hypotheses, and draw conclusions from them.
can understand relevant econometric research.

Language of instruction

English.

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

If no English students are present the lectures might be given in Norwegian.