Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2026-2027

Module ECON2271: Macroeconomic Applications and Policy

Department: Economics

ECON2271: Macroeconomic Applications and Policy

Type Tied Level 2 Credits 20 Availability Available in 2026/2027 Module Cap None. Location Durham
Tied to L125
Tied to L130
Tied to L131
Tied to L132
Tied to L133
Tied to L134
Tied to L135
Tied to LL12
Tied to LL02
Tied to LL01
Tied to VL52
Tied to VLL6
Tied to VLLA
Tied to CFG0
Tied to CFC0
Tied to FGC0
Tied to LA01
Tied to LA02
Tied to LA03
Tied to LMVA
Tied to LMV0

Prerequisites

  • Principles of Economics (ECON1011) and EITHER Economic Methods (ECON1021) OR Calculus I (MATH1061) AND Linear Algebra I (MATH1071) AND Probability I (MATH1597) AND Statistics I (MATH1617)

Corequisites

  • None

Excluded Combination 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 tutorials 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 tutorials and private study.
  • Lectures introduce to the key theoretical and empirical issues.
  • Tutorials 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

Activity Number Frequency Duration Total/Hours Attendance Monitored
Lectures 20 1 per week 1 hour 20
Tutorials 8 4 in term 1 and 4 in term 2 1 hour 8 Yes
Revision Classes 2 1 hour 2
Preparation and Reading 170
Total 200

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
On Campus Written Examination 2 hours 100%

Formative Assessment:

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


Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.