ECON4150 – Introductory Econometrics

Schedule, syllabus and examination date

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Course content

This course is equivalent with ECON3150 – Introductory Econometrics

This is the compulsory master’s level course in econometrics. It builds on the bachelor’s level course in statistics and is the starting point for advanced econometrics. Through this course you will get a broad knowledge about statistical methods for analysing single equation econometrics models. In addition to the theoretical approach, you will also be learn how to use the programme package Stata to do regression analyses of empirical data.

Central themes, both for lectures and seminars, are:

  • regression model adapted to cross section and time-series data
  • how to estimate parameters in regressions equations when the random disturbances are allowed to be heteroskedastic or auto-correlated
  • how to use estimated regression models for prediction
  • (a brief) introduction to the method of moments and the maximum likelihood principle for estimation of the parameters of a single equation econometric model.

Learning outcome

Knowledge outcomes

  • a broad knowledge of regression analysis relevant for analysing economic data.
  • interpretation and critical evaluation of the outcomes of empirical analysis
  • elementary procedures for model validation in the single equation context.
  • theoretical background for the standard methods used in empirical analyses, like properties of least squares estimators and the statistical testing of hypothesis.


  • use Stata the computer based program package for econometric analyses.
  • apply the program (Stata) in regression analyses of empirical data.
  • be a qualified user of econometric methods.
  • perform statistical tests to investigate whether the classical assumptions in regression analysis are satisfied.
  • be a critical reader of the literature concerning empirical analyses.


  • be able to read and understand project reports and journal articles that make use of the concepts and methods that are introduced in the course
  • be able to make use of econometric models in your own academic work, for example in analyses needed for your master’s thesis


Students admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

Students not admitted to the Master’s programme in Economics or the Master’s programme in Economic Theory and Econometrics (Samfunnsøkonomisk analyse), can apply for admission to one of our study programmes, or apply for guest student status.


Formal prerequisite knowledge


Recommended previous knowledge

Overlapping courses


Lectures and seminars. 

Compulsory tuition activities:

  • A compulsory term paper.

If the compulsory term paper is not approved, you may be given a second attempt to hand in a new term paper/improve the term paper within a short deadline.

When the compulsory term paper is approved, the result will be registered. The term paper will be valid for 8 consecutive semesters.

See The Faculty of Social Sciences' rules regarding compulsory tuition activities.

Candidates who have passed the course before autumn 2016 and wish to re-take the exam need to get the term paper approved before they can re-take the exam.

Absence from compulsory tuition activities

If you are ill or have another valid reason for being absent from compulsory tuition activities, your absence may be approved or the compulsory activity may be postponed.


Normally, this course has a 3-hour written school exam.

For the spring 2020 applies:

The examination will be a home examination in Inspera. The home exam will be an open-book exam, where all written and printed resources as well as technical support is allowed. The time schedule will be published on the semester page.

You must have passed the mandatory activities in order to sit for the exam.

Previous exams

Exam papers with comments from examiner

Submit assignments in Inspera

You submit your assignment in the digital examination system Inspera. Read about how to submit your assignment.

Use of sources and citation

You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.

Examination support material

Resources allowed: Open book examination where all printed and written resources, in addition to calculator, are allowed.

From spring 2018 there are two calculators allowed for examinations:

  • Aurora HC106 - a very simple calculator with most basic functions
  • Casio FX-85EX which is a scientific calculator with 274 functions

All other calculator types will be rejected. The calculators are checked in the exam room. There is no opportunity to lend the calculator of fellow students.
You can buy the calculators at Akademika bookstore at Blindern, or online.

The same general rules for cheating also apply when using calculator.

Language of examination

The examination text is given in English.You may submit your response in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Explanations and appeals

Resit an examination

If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.

There are restrictions on resitting this exam. See further information about resitting an exam.

Withdrawal from an examination

It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.

Special examination arrangements

Application form, deadline and requirements for special examination arrangements.


This is a master's level course, but still open for bachelor's students with sufficient background in mathematics and statistics. ECON3150 – Introductory Econometrics is the course code for the bachelor's students. ECON4150 – Introductory Econometrics is the course code for the master's students.

Facts about this course






Every spring


Every spring

Teaching language