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 who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Apply for guest student status if you are admitted to another Master's programme, or have completed a master in Economics at UiO or another Norwegian University.
Formal prerequisite knowledge
Bachelor's degree in Economics, or equivalent.
Students on the master’s programme in Economic Theory and Econometrics (the 5-year master's programme) need ECON3010 - Anvendt økonomisk analyse.
Recommended previous knowledge
ECON2130 - Statistikk 1, ECON3120 - Mathematics 2: Calculus and Linear Algebra / ECON4120 - Mathematics 2: Calculus and Linear Algebra (or equivalent courses in mathematics and statistics).
- 4 credits overlap with STK1110 - Statistical methods and data analysis 1
- 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: 4 hours per week throughout the semester.
Seminars: 2 hours per week though parts of the semester.
A 3-hour written school exam.
Examination support material
Resources allowed: Open book examination where all printed and written resources, in addition to calculator, are allowed.
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
It is recommended to request an explanation of your grade before you decide to appeal.
The deadline to request an explanation is one week after the grade is published. For oral and practical examinations, the deadline is immediately after you have received your grade.
The explanation should normally be given within two weeks after you have asked for it. The examiner decides whether the explanation is to be given in writing or verbally.
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.