Durham University
Programme and Module Handbook

Undergraduate Programme and Module Handbook 2013-2014 (archived)

Module ECON3011: APPLIED ECONOMETRICS

Department: Business School (Economics and Finance)

ECON3011: APPLIED ECONOMETRICS

Type Open Level 3 Credits 20 Availability Available in 2013/14 Module Cap None. Location Durham

Prerequisites

  • Economic Principles I: Macroeconomics (ECON2011) AND Economic Principles II: Microeconomics (ECON2021) AND EITHER Economic Data Analysis (ECON2061) OR Statistical Concepts (MATH2041)

Corequisites

  • None.

Excluded Combination of Modules

  • None.

Aims

  • To provide you with an understanding of the statistical and other methods of applied econometrics by building on skills and knowledge acquired in Level 2
  • To enable you to undertake independent student-centred work on a topic of your own choice in economics or finance, culminating in a summatively assessed project in applied econometrics
  • To offer you the opportunity to develop some key skills.

Content

  • The module will fall into separate components which will illustrate applied econometric techniques, although the same basic principles come into all sections.
  • Areas covered will include consumption, macroeconometric models, exchange rates and demand for money.

Learning Outcomes

Subject-specific Knowledge:
  • Upon completion of the module, students will be comfortable reading many papers in economic journals containing applied econometrics.
Subject-specific Skills:
  • Econometrical analysis; statistics; interpretation of data
Key Skills:
  • Written Communication - e.g. through summative assessment.
  • Planning, Organisation, and Time Management - e.g. observing the strict assignment deadlines and writing up of the summative project by the deadline.
  • Problem Solving and Analysis - e.g. by understanding and applying the analytical and quantitative skills of applied econometrics; in undertaking assessed work.
  • Initiative - e.g. by picking a project topic, searching the relevant literature, choosing from a range of techniques the most appropriate for the problem at hand, interpreting results and drawing conclusions
  • Numeracy - e.g. by understanding and applying the core mathematical and statistical skills that underpin econometric analysis.
  • Computer Literacy and Information Retrieval - by word-processing the summative project.

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

  • Teaching is by lectures and tutorials. Learning takes place through attendance at lectures, preparation for and participation in tutorial classes, and private study. Formative assessment is by means of one piece of applied work. Summative assessment is by means of a written assignment.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures 22 1 per week 1 hour 22
Tutorials 8 4 per term 1 hour 8
Preparation and Reading 170
Total 200

Summative Assessment

Component: Assignment Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
One written assignment 4500 words max 100%

Formative Assessment:

One piece of applied work


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