Syllabus

Title
5974 Advanced Macroeconomics II (Science Track)
Instructors
Assoz.Prof PD Dr. Katrin Rabitsch-Schilcher
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/07/19 to 02/17/19
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Wednesday 03/06/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 03/13/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 03/20/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 03/27/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 04/03/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 04/10/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 05/08/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 05/15/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 05/22/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 05/29/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 06/05/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 06/12/19 09:00 AM - 11:00 AM D4.0.144
Wednesday 06/19/19 09:00 AM - 11:00 AM D4.0.144
Contents

The course offers an introduction into dynamic macroeconomics. Topics covered include the empirical measurement and characterization of business cycles, and an introduction into dynamic macro modelling (Real Business Cycle and New Keynesian models). In this introductionary part, a particular focus will lie on deriving and understanding the parallels with undergraduate macroeconomic models and on understanding the effects of macroeconomic policy. Selected other topics (depending on what time allows) covers an overview of Macro Models with Financial Frictions, Macro Labor (Search and Matching), Open Economy Applications. An introduction into using and applying 'packages' to solve Dynamic Stochastic General Equilbrium models (in Dynare/Matlab) will also be given.

 

 

Learning outcomes

Upon completion of this course students have a basic understanding of macroeconomic analysis in a dynamic setting.

Attendance requirements

Attendance is compulsory. A maximum of 4 course hours (2 absences) are allowed to be missed.

Teaching/learning method(s)

The course is mainly lecture-based. Regular homework assignment and exercises (in groups) will be used to deepen the understanding of the materials discussed.

Assessment

Grading is based on:

a mid-term exam (40%): Wed., April 10, 2019

a final exam (40%): Wed., June 19, 2019

homeworks (20%)

For a positive course evaluation students are required to score more than 50% of the achievable points of the sum of mid-term and final exam!

Recommended previous knowledge and skills

A solid knowledge of undergraduate macroeonomics (IS-LM-AS-AD) is a prerequisite.

A review of some mathematical methods (derivatives, static optimization w.r.t. equality constraints, Taylor series expansions,...) is strongly advised.

Availability of lecturer(s)

no regular office hours, please make an appointment

email: katrin.rabitsch@wu.ac.at

Last edited: 2019-05-21



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