Syllabus

Title
2344 Economic Modelling
Instructors
Univ.Prof. Dr.Dr. Ulrich Berger, Univ.Prof. Dr. Jesus Crespo Cuaresma
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/11/24 to 10/11/24
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Thursday 10/17/24 11:30 AM - 01:30 PM D5.0.002
Thursday 10/24/24 11:30 AM - 01:30 PM D5.1.004
Thursday 11/07/24 11:30 AM - 01:30 PM D2.0.030
Thursday 11/14/24 11:45 AM - 01:45 PM TC.5.16
Thursday 11/21/24 11:00 AM - 01:00 PM TC.3.06
Thursday 11/28/24 11:30 AM - 01:30 PM TC.2.02
Thursday 12/05/24 11:30 AM - 01:30 PM EA.5.044
Thursday 12/19/24 11:30 AM - 01:30 PM D3.0.218
Thursday 01/09/25 11:30 AM - 01:30 PM TC.4.02
Thursday 01/16/25 11:30 AM - 01:30 PM D4.0.133
Thursday 01/23/25 11:30 AM - 01:30 PM D4.0.136
Thursday 01/30/25 11:00 AM - 01:00 PM TC.5.15
Contents

The first part of the course introduces the concept of models in economic research and examines the central idea of homo oeconomicus. Based on these foundations we introduce and discuss several fundamental models of microeconomics and game theory, including preferences and choice under risk, two-person games, and models of asymmetric information.

The second part of the course deals with applications of difference equations to economics. After studying first and p-th order difference equations, as well as the properties of the lag operator, we will analyze a series of macroeconomic applications, including the cobweb model and the multiplier accelerator model.

Learning outcomes

Students recognize the fundamental place of formal models in economic research. They understand the central role played by homo oeconomicus and are able to counter naive criticism of this model. Students know the most important models in microeconomics and game theory and can explain how they work and how to interpret their results. They understand the methods used to solve first-order and p-th order difference equations and can apply them to solve difference equations in basic macroeconomic applications.

Attendance requirements

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

Teaching/learning method(s)

Lectures and interactive solving of exercises in class.

Assessment

Midterm exam (40%), final exam (40%), and a written modelling project (20%)

Readings

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Recommended previous knowledge and skills

Knowledge of basic mathematics and quantitative methods is necessary.

Availability of lecturer(s)

The lecturers can be contacted by email.

Last edited: 2024-05-28



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