ECON3011: APPLIED ECONOMETRICS

• Microeconomics (ECON2021) AND Macroeconomics (ECON2011) AND Econometrics (ECON2061) OR Economic Theory (ECON2291) AND Econometrics (ECON2061)

• None.

• None.

• To provide you with an understanding of econometric and statistical methods for analysing time series and panel data by building on skills and knowledge acquired at Level 2.
• To enable you to undertake independent work on a topic in economics or finance using econometrics methods.
• To offer you the opportunity to develop some key skills.

• The module will fall into separate components which will explain and illustrate econometric techniques, although the same basic principles come into all sections. Topics that are likely to be covered include:
• Panel data analysis
• Limited dependent variables
• Higher moments, multivariate
• Time series methods, including volatility modelling.

Subject-specific Knowledge:

• Upon completion of the module:
• You will have extended your knowledge and understanding of econometric methods by building on skills and knowledge acquired in level 2.
• You will be able to independently analyse a topic in economics by applying appropriate quantitative techniques.
• You will learn how to use using appropriate econometric software (like Stata, R etc.). Report and interpret the findings of your results.

Subject-specific Skills:

• Econometric analysis; statistics; interpretation of data
• You will be able to independently analyse a topic in economics by applying appropriate quantitative methods and using appropriate econometric software and report the findings of your analysis.

Key Skills:

• Written Communication - e.g. through writing a clear and detailed report for the summative assessment.
• Planning, Organisation, and Time Management - e.g. observing the strict assignment deadlines and writing up of the formative and summative projects 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 searching the relevant literature for a research topic, 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 e.g. by using econometric software and by word-processing the summative project.

• Teaching is by lectures and workshops. Learning takes place through attendance at lectures, preparation for and participation in seminars, and private study.
• Formative assessment is by means of a written assignment that is related to the material taught in the first term of the course.
• Summative assessment is by means of a written assignment that is related to the material taught in the entire course. The assignment requires the students to analyse real economic data using the econometric methods that they have learnt in the course and to discuss their analysis and findings in a report.

If you have a question about Durham's modular degree programmes, please visit our FAQ webpages, Help page or our glossary of terms. If you have a question about modular programmes that is not covered by the FAQ, or a query about the on-line Undergraduate Module Handbook, please contact us.

Prospective Students: If you have a query about a specific module or degree programme, please Ask Us.

Current Students: Please contact your department.