ECON4130 – Statistics 2
Course description
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 ̽»¨¾«Ñ¡ 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 (³§²¹³¾´Ú³Ü²Ô²Ô²õø°ì´Ç²Ô´Ç³¾¾±sk analyse), can apply for admission to one of our study programmes, or apply for .
Prerequisites
Formal prerequisite knowledge
- Bachelor's degree in Economics, or equivalent.
Alternatively
- ECON2130 – Statistikk 1, or equivalent.
- ECON3120 – Mathematics 2: Calculus and Linear Algebra / ECON4120 – Mathematics 2: Calculus and Linear Algebra, or equivalent.
Overlapping courses
- 4 credits overlap with STK1110 – Statistical Methods and Data Analysis
- 3 credits overlap with STK2120 – Statistical Methods and Data Analysis 2 (discontinued)
- 3 credits overlap with STK1120 – Statistical methods and data analysis 2 (continued)
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.
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.
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:
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 .
Explanations and appeals
Resit an examination
If you are sick or have another valid reason for not attending the regular exam, we offer a later in the same semester.
See also our information about .
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for .
Evaluation
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.