ECON4130 – Statistics 2
Schedule, syllabus and examination date
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.
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)
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
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
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
- Bachelor's degree in Economics, or equivalent.
- ECON2130 – Statistikk 1, or equivalent.
- ECON3120 – Mathematics 2: Calculus and Linear Algebra / ECON4120 – Mathematics 2: Calculus and Linear Algebra, or equivalent.
- 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)
Lectures and seminars.
A 3-hour written school exam.
If the Covid-19 situation makes it impossible to offer a written school exam in this course this fall, the exam will be a 5-hour digital home exam. The time for the exam might then be changed (but not the date). Information will be provided well in advance of the exam, if such changes are made.
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 functionsfunctions
- Casio FX-85EX which is a scientific calculator with 274
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.
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.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.