Syllabus

Title
5585 Microeconomic Models and Methods (Applied Track)
Instructors
Aleksandr Levkun, Ph.D.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/19/24 to 02/25/24
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Tuesday 03/12/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 03/19/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 04/09/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 04/16/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 04/23/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 04/30/24 12:00 PM - 02:00 PM TC.3.05
Tuesday 05/14/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 05/28/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 06/04/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 06/11/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 06/18/24 12:00 PM - 02:00 PM TC.4.16
Tuesday 06/25/24 12:00 PM - 02:00 PM TC.3.03
Contents

Microeconomic Models and Methods is a Master's course that covers a selection of microeconomic models and methods. This selection of models will primarily feature informational asymmetries which are ubiquitous in real-world economic interactions. The course is closely related to and complements Microeconomics and Game Theory classes. The goal of the class is to introduce students to a class of both classical and modern models from economic theory with a focus on underlying trade-offs and economic intuition.

Learning outcomes

By learning the fundamental theories and methods, students will advance their competence in the economic way of thinking and reasoning. In particular, they will

  • understand the underlying trade-offs that economic agents face in the economic interactions with uncertainty,
  • understand the sources and types of inefficiencies arising from informational asymmetries,
  • be able to contextualize and analyze real-world microeconomic phenomena and policymaking.
Attendance requirements

The attendance requirement is met, if a student is present at least 80%. Therefore, students are allowed to be absent for up to two classes.

Teaching/learning method(s)
  • Lectures with material developed on the whiteboard and supported by slides
  • Discussion of examples

Slides and exercises will be uploaded on Canvas. Students are requested to prepare for each class with the provided material.

Assessment

The course will be graded on the basis of four homework assignments (20%; 5% each), a midterm exam (40%), and a final exam (40%). The midterm exam will be devoted to the material of classes 1-5, and the final exam will be devoted to the material of classes 7-11. The homework assignments will be helpful in preparation for midterm and final exams. Sample midterm and sample final will be provided in a timely manner.

grading scheme: 0.0-49.9: 5 / 50.0-62.4: 4 / 62.5-74.9: 3 / 75.0-87.4: 2 / 87.5-100.0: 1

Readings

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Availability of lecturer(s)

aleksandr.levkun@wu.ac.at

Last edited: 2024-03-12



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