ECON9200B – Advanced Microeconomics

Schedule, syllabus and examination date

Course content

This course has joint teaching with ECON5200 – 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.

Topics

  • Preferences, choice and demand.
  • Production.
  • 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.

Learning outcome

Knowledge outcomes

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.

Skills

The student should be able to read and understand scientific papers representing the research frontier of microeconomic theory.

Admission to the course

This course is offered to PhD candidates at the Department of Economics. Other candidates admitted to a PhD program may apply to take the course.

Overlapping courses

Teaching

Lectures.

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.

The course responsible can at the beginning of the semester update the syllabus list by changing no more than 3 articles, though in a way that it will not change the overall scope or thematic content of the course.

The syllabus also includes any lecture notes that will be made available for the students in Canvas

Examination

Students will be evaluated by means of portfolio assessment, based on an assignment that will be given towards the end of the course.

Previous exams

Examination support material

All exam support materials are allowed during this exam. Generating all or part of the exam answer using AI tools such as Chat GPT or similar is not allowed.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

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.

There are restrictions on resitting this exam. See further information about resitting an exam.

More about examinations at UiO

You will find further guides and resources at the web page on examinations at UiO.

Last updated from FS (Common Student System) Nov. 5, 2024 3:40:19 AM

Facts about this course

Level
PhD
Credits
8
Teaching
Autumn
Examination
Autumn
Teaching language
English