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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017
- ARCHIVE as at 1 September 2016

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DRPS : Course Catalogue : School of Economics : Economics

Undergraduate Course: Topics in Economic Analysis (ECNM10071)

Course Outline
SchoolSchool of Economics CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course is designed to provide a coherent development of some further important topics in economic analysis at a more advanced level than that of standard intermediate courses. It thus extends and deepens the work of Economics 1, Economics 2 and Topics Microeconomics, bridging the gap between intermediate and graduate level courses in economics, and providing insight into some recent areas of economic research activity. Throughout there is an emphasis on the application of economic principles. The course has a mathematical content and knowledge of basic calculus is assumed.
Course description Topics covered are likely to be drawn from: dynamic models of unemployment and the macro-economy, international macroeconomics, the economics of banking, labour economics.
The course is taught through a programme of lectures and tutorials. Learning-by-doing, through exercise sets, is an important ingredient of the course.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Economics 2 (ECNM08006)
Co-requisites Students MUST also take: Topics in Microeconomics (ECNM10070) AND Essentials of Econometrics (ECNM10052)
Prohibited Combinations Other requirements Economics Honours entry or permission of the course organiser.
Information for Visiting Students
Pre-requisitesVisiting students should usually have at least 3 Economics courses at grade B or above (or be predicted to obtain this) for entry to this course. This MUST INCLUDE courses in both Macroeconomics and Microeconomics. We will only consider University/College level courses.
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. A knowledge and understanding of principles and models used in economic analysis and associated mathematical and statistical techniques, along with applications and policy implications of those models.
  2. Research and investigative skills such as problem framing and solving and the ability to assemble and evaluate complex evidence and arguments.
  3. Communication skills in order to critique, create and communicate understanding.
  4. Personal effectiveness through task-management, time-management, dealing with uncertainty and adapting to new situations, personal and intellectual autonomy through independent learning.
  5. Practical/technical skills such as, modelling skills (abstraction, logic, succinctness), qualitative and quantitative analysis and general IT literacy.
Reading List
For the first part of the course, we will make use of Romer, D., (2010), ¿Advanced Macroeconomics¿, McGraw Hill.
For the second part of the course there is no single textbook that covers this material at the undergraduate level. Having said that, students might find parts of the following books helpful for wider reading:
George Borjas, Labor Economics, McGraw-Hill. Any edition since the 3rd (2005) is fine. This is a basic undergraduate labour economics text.
Richard Layard, Stephen Nickell, and Richard Jackman, The Unemployment Crisis, Oxford University Press, (1994). An introduction to the analysis of the European unemployment problem that arose in the 1980s.
Christopher Pissarides, Equilibrium Unemployment Theory, MIT Press, (2000). For students who want to preview a graduate-level treatment of search and matching models.
Additional Information
Graduate Attributes and Skills See Learning Outcomes
Additional Class Delivery Information 3 lectures per week lasting 1 hour, 4 fortnightly tutorial sessions lasting 2 hours to be arranged in addition.
KeywordsTEA
Contacts
Course organiserProf Michael Elsby
Tel: (0131 6)50 8369
Email: Mike.Elsby@ed.ac.uk
Course secretaryMs Dawn Everett
Tel: (0131 6)51 5958
Email: Dawn.Everett@ed.ac.uk
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