Postgraduate: Level 7
Monday 13 January 2020
Friday 20 March 2020
04 October 2018
Requisites for this module
MA L10012 Economics,
MA L10024 Economics,
MSC L10012 Economics,
MSC L10024 Economics,
MSC L100EK Economics,
MSC L100KE Economics,
MSC L100PP Economics with Professional Placement,
MSC L100UH Economics,
MPH L10024 Economics,
MPH L10048 Economics,
MSD L10012 Economics,
MSD L10024 Economics,
PHD L10036 Economics,
PHD L10048 Economics,
PHD L10072 Economics,
PHP L10036 Economics,
PHP L10072 Economics
This module builds on the notions covered in EC904 Macroeconomics. The course starts with more advanced techniques of dynamic programming. We then cover the theory of Real Business Cycle, with particular emphasis on how to solve these models numerically, using Dynare. We them study the implications of three different types of frictions: nominal rigidities (New-Keynesian model); search and matching frictions ( Diamond-Mortensen-Pissarides model); and financial frictions (financial accelerator model).
The third part of the course focuses on Fiscal policy. We will look at the effects of government spending and taxation. We also examine optimal policy under complete and incomplete markets and the problem of time inconsistency.
No information available.
No information available.
No additional information available.
Feedback for this module will occur through class meetings where we will go over the answers to problem sets and where you will be able to ask questions about your own method of solution; answers that will be posted on the website for the module that will give you written guidance on the appropriate method to approach the problems, assignments, and tests; and office hours where any additional questions can be addressed. You should be sure that you use these methods to understand how to improve your own performance.
This module does not appear to have a published bibliography for this year.
|Assessment items, weightings and deadlines
|Coursework / exam
||120 minutes during Summer (Main Period) (Main)
Module supervisor and teaching staff
Mr Lukas Mayr
For Further information, send an email message to firstname.lastname@example.org
Dr Francis Kiraly
Available via Moodle
Of 33 hours, 31 (93.9%) hours available to students:
2 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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