Module code: ECOM058

Module Overview

This module is an introduction to the methods of specification, estimation and testing of econometric models in a general multivariate setting, with an emphasis on time series and panel data. The techniques are applied to real data making use of the econometric packages EViews and Stata.

Module provider


Module Leader

MALKI Issam (Economics)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 128

Lecture Hours: 22

Module Availability

Semester 2

Prerequisites / Co-requisites

MANM280 is a co-requisite for this module

Module content

Indicative content includes: 

  • Multiple Regression analysis 

  • Functional form 

  • Autocorrelation 

  • Econometric models with time series  

  • Panel data methods

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Coursework test/assignment 50
Examination Examination (1h 30min) 50

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate their ability to understand and carry out econometric techniques. This module has a technical and a practical component. Assessment emphasises work based on econometric and statistical packages in the form of an assignment, in which students are asked to analyse real economic and financial data. The technical component is assessed via a final examination. Thus, the summative assessment for this module consists of: 50% coursework assignment and 50% Examination: 1 hour and 30 minutes Formative assessment and feedback: This is done by specific, individualised written comments, feedback meetings with students and general feedback in classes.

Module aims

  • This module aims to provide the student with the theoretical and practical skills necessary to construct state of the art, single and multi-equation econometric models, with an emphasis on time series and panel data. The module will equip the student with the ability to undertake, understand, and critically assess empirical work in economics, with a view to enabling the student to use econometrics to catalogue and describe empirical regularities and test various propositions.

Learning outcomes

Attributes Developed
001 Systematically understand the principles of estimation and hypothesis testing in a multivariate setting CKT
002 Demonstrate comprehensive knowledge of the properties of different estimators and tests CKT
003 Demonstrate a practical understanding of the application of econometric techniques to actual data using computer packages CKPT
004 Be critically aware of the assumptions made in building econometric models CKT
005 Proficiently use the time series and panel data testing and estimation capabilities of a range of packages, evaluating the relative merits of competing methodologies CKPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

  • give students the theoretical tools they need to go out and analyse real world situations 

  • encourage rigour in their approach to problems

  • encourage hands-on study of empirical problems;

The learning and teaching methods include:

  • readings using lecturers guidance

  • solving exercises

  • responding to questions in class

  • preparing and taking part in the test/assignment

  • 2-hour lecture per week x 11 weeks

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: ECOM058

Other information


Programmes this module appears in

Programme Semester Classification Qualifying conditions
Economics MA 2 Compulsory A weighted aggregate mark of 50% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2019/0 academic year.