ECON5200 – Advanced Microeconomics
Schedule, syllabus and examination date
This course has joint teaching with ECON9200 – Advanced Microeconomics
This is an advanced course in microeconomic theory. The course covers the main topics of microeconomics from consumer and producer behavior, partial and general equilibrium, behavior under uncertainty, game theory and asymmetric information.
- Preferences, choice and demand.
- Partial equilibrium.
- Expected utility.
- Static games.
- Dynamic games and beliefs.
- Market power and product differentiation.
- Adverse selection, signaling and screening.
- Principal agent problems.
- General equilibrium and welfare.
- Existence and uniqueness of equilibrium.
- General equilibrium under ucertainty.
- Intertemporal equilibrium.
You will learn the fundamental methods and theories of microeconomics, and be provided with the basic tools and concepts required to understand scientific papers at the research frontier of microeconomic theory. The course cannot bring you to the frontier of all topics within microeconomic theory, but will give you sufficient knowledge to read papers on the frontier and thus be able to acquire knowledge of the frontier of most areas in microeconomics.
The student should be able to read and understand scientific papers representing the research frontier of microeconomic theory.
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
- 5 credits overlap with ECON5210
- 10 credits overlap with ECON9200 – Advanced Microeconomics
For PhD-candidates: 2,5 credits against ECON9210A and 2,5 credits against ECON9210B
See detailed course plan.
Access to teaching
A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.
Students will be evaluated by means of portfolio assessment, based on an assignment that will be given towards the end of the course.
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
Language of examination
The examination text is given in English, and you submit your response in English.
Students on masters level are awarded on a descending scale using alphabetic grades from A to E for passes and F for fail. Students who would like to have the course approved as part of the requirement for admission to our phd-program, must obtain the grade C or better. Students who would like to have the course approved as a part of our phd-program, must obtain the grade B or better. Students on phd-level are awarded either a passing or failing grade. The pass/fail scale is applied as a separate scale with only two possible results.
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
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.
This course prepares for the Ph.D. program. It provides a head start for last-year master students who intend to continue with a Ph.D.