Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2022-2023 (archived)

Module ECON2271: MACROECONOMIC APPLICATIONS AND POLICY

Department: Economics

ECON2271: MACROECONOMIC APPLICATIONS AND POLICY

Type Tied Level 2 Credits 20 Availability Available in 2022/23 Module Cap None. Location Durham
Tied to L100
Tied to L106
Tied to L109
Tied to L1R1
Tied to L103
Tied to L104
Tied to L105
Tied to LL12
Tied to LL02
Tied to LL01
Tied to VL52
Tied to VLL6
Tied to VLLA
Tied to CFG0
Tied to FGC0
Tied to CFG1
Tied to CFG2
Tied to LA01
Tied to LA02
Tied to LMVA
Tied to LMV0
Tied to N305
Tied to N306
Tied to N307

Prerequisites

  • Principles of Economics (ECON1011) OR Introduction to Economics (ECON1101) AND Quantitative Methods (ECON1151)

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 from the following areas:
  • Economic Integration and Economic Geography
  • 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

Activity Number Frequency Duration Total/Hours
Lectures 20 1 per week 1 hour 20
Seminars 8 4 in term one and 4 in term 2 1 hour 8
Revision Session 2 1 hour 2
Preparation and Reading 170
Total 200

Summative Assessment

Component: Examination Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
One written examination 2 hours 100%

Formative Assessment:

One class test


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University