Postgraduate Course: Research Methods in Macroeconomics (ECNM11082)

Course Outline
School	School of Economics	College	College of Arts, Humanities and Social Sciences
Credit level (Normal year taken)	SCQF Level 11 (Postgraduate)	Availability	Not available to visiting students
SCQF Credits	20	ECTS Credits	10
Summary	This module, compulsory for all first year PGR students, is designed to introduce and cover in some depth a range of theoretical issues and techniques so as to broaden student's knowledge of macroeconomics. The aim is to provide exposure to a wide variety of theoretical models and methods that may be used by graduate research students. It is not expected that any student would use more than one or two methods in their own research, and some may not use any of the methods covered, but awareness of the variety of economic research methods is viewed as an essential component of development as a graduate economist.
Course description	This module, compulsory for all PGR students, is designed to introduce and cover in some depth a range of theoretical issues and techniques so as to broaden student's knowledge of macroeconomics. The aim is to provide exposure to a wide variety of theoretical models and methods that may be used by graduate research students. It is not expected that any student would use more than one or two methods in their own research, and some may not use any of the methods covered, but awareness of the variety of economic research methods is viewed as an essential component of development as a graduate economist.

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information

Academic year 2022/23, Not available to visiting students (SS1)		Quota: 8
Course Start	Semester 1
Timetable	Timetable
Learning and Teaching activities (Further Info)	Total Hours: 200 ( Lecture Hours 20, Formative Assessment Hours 3, Summative Assessment Hours 3, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 170 )
Assessment (Further Info)	Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment)	Written Exam 70% Coursework 30%
Feedback	Not entered
No Exam Information

Learning Outcomes
On completion of this course, the student will be able to: Solve models using dynamic programming and Bellman's equations; Set up and solve macroeconomic models involving search frictions; Understand the equilibrium workings of models of global games as applied to real world scenarios such as bank runs; Specify and solve macroeconomic models containing stochastic processes.