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ECON2271: MACROECONOMIC APPLICATIONS AND POLICY

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box, and this may change from year to year, due to, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback. Current modules are subject to change in light of the ongoing disruption caused by Covid-19.

Type Tied
Level 2
Credits 20
Availability Available in 2023/24
Module Cap None.
Location Durham
Department Economics

Prerequisites

  • Principles of Economics (ECON1011) OR Quantitative Methods (FINN1021)

Corequisites

  • None

Excluded Combinations of Modules

  • None

Aims

  • To develop a critical understanding of the application of macroeconomic theories to real-world events.
  • To learn how to examine and critique relevant research papers.

Content

  • The content will be topics of contemporary interest such as:
  • Economic Integration and Economic Geography
  • International Monetary System
  • Optimal Currency Areas
  • Financial Globalisation
  • The Economics of Growth and Development

Learning Outcomes

Subject-specific Knowledge:

  • Upon completion of the module, students should:
  • Have developed a critical appreciation of the degree to which macroeconomic theories can be used to analyse and develop solutions for real world problems.

Subject-specific Skills:

  • Upon completion of the module, students should:
  • Be able to use macroeconomic theory to analyse real world problems.
  • To be able to examine and critique macroeconomic research papers.

Key Skills:

  • Written Communication - by completing the formative assignment
  • Planning, Organisation and Time Management- e.g. by preparing for seminars and examinations
  • Problem solving and Analysis - by applying the necessary analytical and quantitative skills to identify and empirically test theoretical relationships
  • Initiative - by collecting information for the exam, searching relevant literature and information in preparation for the exam
  • Numeracy - e.g. by applying an array of core mathematical-statistical skills to answer a range of examination questions

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Learning takes place through attendance at lectures, preparation for and participation in seminars and private study.
  • Lectures provide an introduction to the key theoretical and empirical issues.
  • Seminars give the students an opportunity to discuss theoretical concepts and their applications.
  • Formative assessment is by means of a written test
  • Summative assessment is by means of a written examination.

Teaching Methods and Learning Hours

ActivityNumberFrequencyDurationTotalMonitored
Lectures201 per week1 hour20 
Seminars84 in term 1 and 4 in term 21 hour8 
Revision Session21 hour2 
Preparation and Reading170 
Total200 

Summative Assessment

Component: Examination Component Weighting: 100%
ElementLength / DurationElement WeightingResit Opportunity
One written online examination2 hours100Same

Formative Assessment

One written piece of work to prepare students for the summative exam.

More information

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