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 ECON2061: Econometrics

Department: Economics

ECON2061: Econometrics

Type	Level	Credits	Availability	Module Cap	Location
Tied	2	20	Available in 2025/2026		Durham

Tied To

Pre-requisites

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 Combinations

None.

Aims

To enable students to identify and apply appropriate econometric methods to answer economic questions.
To enable students to interpret the results of econometric analyses.
To enable students to understand and critically evaluate econometric analyses from the economics literature.
To build on the material of Economic Methods.

Content

Topics covered likely to include:
Linear Regression
Hypothesis Tests on Regression Coefficients
Nonlinear Regression Functions
Assessing Validity of Regression Analyses
Regression with Panel Data
Regression with Binary Variables
Instrumental Variables Regression
Introduction to Regression with Time Series Data

Learning Outcomes

Subject-specific Knowledge

Understand and perform regression analysis

Subject-specific Skills

ability to set in context results from empirical research
ability to conduct and manage a small-scale empirical project using econometric analysis

Key Skills

Written Communication: the summative assessment includes both a written report and a written examination.
Problem Solving: the exercises will require students to use the basic material to solve problems tested in the summative assessment
Numeracy: students are expected to perform econometric tests and interpret empirical work to the level of their knowledge.
Computer Literacy: the project will be word-processed and the analysis assignment will require the use of an econometric package.

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

Teaching is by lectures, seminars and computer practicals. Learning takes place through attendance at lectures, preparation for and participation in seminars, computer practicals, and private study. Summative assessment is by means of an in-person examination and assignment. Formative assessment is by means of a piece of written work to prepare for the exam.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total Hours	Attendance Monitored
Lectures	20	1 per week	2 hours	40
Revision Classes	2	1 per week in Term 3	2 hours	4
Seminars	6	3 in Term 1, 3 in Term 2	1 hour	6	Yes
Practicals	2	1 in Term 1, 1 in Term 2	1 hour	2	Yes
Preparation and Reading				148
Total				200

Summative Assessment

Component	Component Weighting	Element	Length/Duration	Element Weighting	Resit Opportunity
Examination	80%	On Campus Written Examination	2 hours	100%
Assignment	20%	Assignment	1500 words max	100%

Formative Assessment

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

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.