This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.

Undergraduate Handbook 2025-2026 (archived)

Module ECON3011: Applied Econometrics

Department: Economics

ECON3011: Applied Econometrics

Type	Level	Credits	Availability	Module Cap	Location
Tied	3	20	Available in 2025/2026		Durham

Tied To

Pre-requisites

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

Corequisites

None.

Excluded Combinations

None.

Aims

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.

Content

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.

Learning Outcomes

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.

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

Teaching is by lectures and seminars. 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.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total Hours	Attendance Monitored
Lectures	20	10 in term 1, 10 in term 2	1 hour	20
Seminars	10	5 in Term 1, 5 in Term 2	1 hour	10	Yes
Preparation and Reading				170
Total				200

Summative Assessment

Component	Component Weighting	Element	Length/Duration	Element Weighting	Resit Opportunity
Assignment	100%	Assignment	6000 words max	100%

Formative Assessment

One formative assignment to prepare students for the summative assessment.

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.