Course content

The course gives further knowledge in statistics and probability theory useful for economics and econometrics, and extends ECON2130 on statistical modeling and construction and interpretation of statistical methods.

The course aims partly at a broad exposure of statistical concepts and tools that serve to support and to broaden the econometric toolkit and partly as a basis for more advanced studies in econometrics.

Learning outcome

Knowledge
You should know:

  • Joint discrete and continuous distributions: multiple integration, conditional distributions, transformations
  • Stochastic matrices
  • Asymptotic theory: limit in probability (plim), consistency, central limit theorems, Slutsky's lemma
  • Likelihood methods: maximum likelihood estimation, likelihood ratio testing
  • Logistic regression
  • Simulation-based inference: parametric bootstrapping
  • Statistical programming (a little bit)

Skills
You should be able to

  • solve more sophisticated probability and statistics problems than what is covered in ECON2130
  • carry out integration methods and algebra for calculating probabilities and moments in continuous distributions
  • use stochastic matrices, which are extensively used in econometric models
  • use asymptotic methods that are most common in econometric practice as well as moment and maximum likelihood methods for constructing and evaluating statistical and econometric procedures
  • formulate and solve statistical problems

Competence
You should be able to

  • 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 the course content in your own academic work, for example in analyses that are part of the master’s thesis

Admission

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 (Samfunns?konomisk analyse), can apply for admission to one of our study programmes, or apply for guest student status.

Prerequisites

Formal prerequisite knowledge

  • Bachelor's degree in Economics, or equivalent.

Alternatively

Teaching

Lectures and seminars.

Examination

A 3-hour written exam in Inspera.

The school exam in this course is no longer conducted on paper.

From the fall 2022 all exams at the Department of Economics are conducted in the digital examination system Inspera. You should familiarize yourself with the digital examination arrangements in Inspera.  

 

Previous exams

Exam papers with comments from examiner

Digital examination

The written examination is conducted in the digital examination system Inspera. You will need to familiarize yourself with the digital examination arrangements in Inspera.

Read more about written examinations using Inspera.

Examination support material

Resources allowed:  Open book examination, where all printed and written resources are allowed.  There is a digital scientific calculator available in Inspera.

Please note: You are not allowed to bring your own calculator.  We strongly advise you to familiarize yourself with the digital calculator here: https://www.desmos.com/scientific

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.

See also our 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.

Evaluation

The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.

Facts about this course

Credits
10
Level
Master
Teaching
Every autumn
Examination
Every autumn
Teaching language
English