APPLIES TO ACADEMIC YEAR 2015/2016

DRE 7004 Topics in Macroeconomics

Responsible for the course
Hilde C Bjørnland

Department
Department of Economics

Term
According to study plan

ECTS Credits
6

Language of instruction
English

Introduction
Please note that this course will be revised before it is offered again.

This course is divided in two parts. The first part gives an introduction to Computational Methods and Applications in Dynamic General Equilibrium Modeling. The second part studies frontier research on selected macroeconomic topics.

Learning outcome
After taking this course the students should have a solid knowledge of numerical methods used to solve problems in macroeconomics and understand basic and advanced models of open economy and monetary policy. The students should master and produce sophisticated research on dynamic general equilibrium models and models of international macroeconomics.

Prerequisites
Admission to a PhD Programme is a general requirement for participation in PhD courses at BI Norwegian Business School.

External candidates are kindly asked to attach confirmation of admission to a PhD programme when signing up for a course with the doctoral administration. Candidates can be allowed to sit in on courses by approval of the course leader. Sitting in on courses does not permit registration for courses, handing in exams or gaining credits for the course. Course certificates or conformation letters will not be issued for sitting in on courses.

Compulsory reading
Books:
Canova, Fabio. 2007. Methods for applied macroeconomic research. Princeton University Press
Heer, Burkhard and Alfred Maussner. 2009. Dynamic general equilibrium modeling : computational methods and applications. 2nd ed. Springer
Obstfeld, Maurice, and Kenneth Rogoff. 1996. Foundations of international macroeconomics. MIT Press
Walsh, Carl E. 2010. Monetary theory and policy. 3rd ed. MIT press

Book extract:
Corsetti, Giancarlo. 2008. “New Open Economy Macroeconomics”. New Palgrave Dictionary of Economics. 2nd ed. Palgrave

Articles:
Obstfeld, Maurice, and Kenneth Rogoff. 2000. The six major puzzles in international macroeconomics : is there a common cause?. NBER. NBER working paper series ; 7777

Recommended reading

Articles:
Bache, Ida W., Tommy Sveen and Kjersti N. Torstensen. 2012. “Revisiting the Importance of Non-Tradable Goods’ Prices in Cyclical Real Exchange Rate Fluctuations”. European Economic Review. 57. 98-107
Bjørnland, Hilde C. 2009. "Monetary policy and exchange rate overshooting: Dornbusch was right after all". Journal of International Economics. 79(1). pages 64-77
Engel, Charles. 1999. "Accounting for US Real Exchange Rate Changes". Journal of Political Economy. 107. 507-538

Course outline
(i) Dynamic Programming and Parameterized Expectations and/or Projection Methods

(ii) Numerical Integration and Function Approximation

(iii) Selected topics in Macroeconomics

Computer-based tools
The course uses modern programming software such as MATLAB.

Learning process and workload
Workload (6 ECTS)
Lectures 30 hours
Specified learning activities (including reading) 75 hours
Autonomous student learning (including exam preparation) 75 hours
Total 180 hours

Course structure and grading:
The course will we taught in 10 intensive modules. Each module consists of 3 hours.

Students are required to participate in class – both in discussions and by presenting models/material from the reading lists – as well as solve and hand in solutions to exercises and problems.



Examination
Hand in an assignment ( individually ) consisting of a maximum of 10 pages ( plus references and appendix ). Pass/Fail.
Examination code(s)
DRE 70043 ( The assigment ) counts for 100% of the grade in DRE 7004

Examination support materials


Re-sit examination
Re-takes are only possible at the next time a course will be held. When the course evaluation has a separate exam code for each part of the evaluation it is possible to retake parts of the evaluation. Otherwise, the whole course must be re-evaluated when a student wants to retake an exam.

Additional information
Honour Code
Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honour code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honour code system, to which the faculty are also deeply committed.

Any violation of the honour code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honour code and academic integrity. If you have any questions about your responsibilities under the honour code, please ask.