DRE 4007 Advanced Macroeconomics

DRE 4007 Advanced Macroeconomics

Course code: 
DRE 4007
Department: 
Economics
Credits: 
6
Course coordinator: 
Alfonso Irarrazabal
Course name in Norwegian: 
Advanced Macroeconomics
Product category: 
PhD
Portfolio: 
PhD Economics courses
Semester: 
2017 Autumn
Active status: 
Active
Level of study: 
PhD
Teaching language: 
English
Course type: 
One semester
Introduction

This is the course description for autumn 2016. THe course will be revised before it is run again.

Course content

Growth theory

  • Neoclassical growth
  • Endogenous growth
  • Overlapping generation models
  • Problem set 1

Equilibrium models

  • Dynamic programming
  • Consumption theory
  • Investment theory
  • Search theory
  • Problem set 2

Business cycle and topics

  • Real business cycle
  • Monetary models
  • Topics: irreversibility
  • Problem set 3

There will be 10 lectures, 5 lectures on each part. 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.

Learning process and requirements to students

This course is an introduction macroeconomic theory. It is also about tools and techniques used in advanced research in macroeconomics.
The course consists of three parts. The first part gives the students an introduction to modern growth theory. We will cover the three models used in modern growth theory. Emphasis will be provided in terms of the microfoundations of these models.The topic of the second part is equilibrium macroeconomics models. We will start with the main results in recursive macroeconomics models including an introduction to dynamic programming.
Then, we will review the main theories of consumption, investment and labor markets. The third topic is business cycle. We will start describing the standard real business cycle model. Then, we will cover the monetary models of business cycle. We will explore issue related to the non-neutrality of money using modern dynamic stochastic equilibrium models (DSGE) framework.

Software tools
No specified computer-based tools are required.
Qualifications

Enrollment in 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 enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the courseleader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or conformation letters will not be issued for sitting in on courses.

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Written submission
Invigilation
Weight: 
100
Grouping: 
Individual
Support materials: 
  • No support materials
Duration: 
3 Hour(s)
Exam code: 
DRE40073
Grading scale: 
Pass/fail
Resit: 
All components must, as a main rule, be retaken during next scheduled course
Exam organisation: 
Ordinary examination
Total weight: 
100
Student workload
ActivityDurationComment
Group work / Assignments
60 Hour(s)
Specified learning activities (including reading).
Student's own work with learning resources
90 Hour(s)
Autonomous student learning (including exam preparation).
Teaching
30 Hour(s)
Sum workload: 
180

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.