ECS506 PhD Macroeconomic I
Autumn 2020Spring 2020
This course is designed to give first year Ph.D. students an introduction to a broad selection of topics in advanced macroeconomics. The course should give a good understanding of major issues in modern macroeconomics - and should provide the necessary background for other more specialized courses in various macroeconomic subfields. The course will cover a broad selection of the following topics:
- Neoclassical growth models: Solow and Ramsey models
- Overlapping Generations (OLG) models
- Endogenous growth
- Real Business Cycles and dynamic stochastic general equilibrium theory
- Fiscal Policy
By the end of the course the students achieve the following learning outcomes:
- understand workhorse models in modern real macroeconomics;
- use basic mathematical tools to solve a macroeconomic model;
- understand how to build a model to analyze macroeconomic research questions;
- analyse economic questions with modern macro models;
- model explicitly individual decision making, and then analyse aggregate behavior;
- communicate research questions, solution methods and answers clearly.
Lectures and mandatory assignments.
It is assumed as a prerequisite that students are familiar with macroeconomics at an intermediate (Masters) level.
Requirements for course approval
Participation in lectures and completion of three mandatory assignments.
4-hour written school exam. The exam answer must be in English.
The main textbook is David Romer (2006) Advanced Macroeconomics. The readings will be supplemented with chapters from textbooks and with lecture notes. The actual reading list will be presented at the start of the course.
- ECTS Credits
- Teaching language
Autumn. Offered autumn 2020.
Please note: Due to the present corona situation, please expect parts of this course description to be changed before the autumn semester starts. Particularly, but not exclusively, this relates to teaching methods, mandatory requirements and assessment.
Professor II. Tommy Sveen, Department of Economics.
Postdoctoral Fellow Marc Goñi, Department of Economics.