390035 UK PhD-VGSE: Topics in Dynamic Economic Analysis (2014W)
Continuous assessment of course work
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Mon, 10.00-11.30h, Seminarroom 3.307, 3rd Floor, VGSE-Kolleg, Oskar-Morgenstern-Platz 1, 1090 ViennaThe level of this course requires knowledge of advanced macroeconomics, advanced microeconomics, and advanced econometrics. ;Students may apply for this course by sending an email to info@vgse.at including their CV, transcript (Sammelzeugnis) and optionally a recommendation of their thesis advisor. ; More information at www.vgse.at
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 15.09.2014 09:00 to We 24.09.2014 14:00
- Deregistration possible until Tu 14.10.2014 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
Assessment will be based on homework exercises and an oral exam.
Minimum requirements and assessment criteria
Examination topics
Reading list
The course is based on the book manuscript Dynamic Economic Analysis: Deterministic Models in Discrete Time by Gerhard Sorger (to be published by Cambridge University Press, 2015). Alternative recommended textbooks are Recursive Methods in Economic Dynamics by N.L. Stokey and R.E. Lucas, Jr. (Harvard University Press, 1989) and Recursive Macroeconomic Theory by L. Ljungqvist and T.J. Sargent (3rd ed., MIT Press 2012).
Association in the course directory
Last modified: Mo 07.09.2020 15:46
o are familiar with standard optimization methods for deterministic dynamic models;
o understand the difference between decision making under commitment and discretionary decision making;
o are familiar with some important equilibrium concepts for dynamic games;
o are familiar with the basic methodology to formulate and solve dynamic competitive equilibrium models;
o are able to characterize the solutions of simple models from the above mentioned modeling frameworks.Target group: PhD students of Economics. The course counts for 2 hours (5 ETCS points).Prerequisites: Knowledge of macroeconomics, microeconomics, and mathematics as covered in the Master program.