Module code: ECOM042

Module Overview

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

Module provider


Module Leader

GABRIEL Vasco (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: 121

Lecture Hours: 20

Laboratory Hours: 9

Module Availability

Semester 1

Prerequisites / Co-requisites


Module content

Indicative content includes:

  • Multiple Regression analysis using cross sectional data. 

  • Asymptotic properties of OLS

  • Regression analysis using qualitative information. 

  • Functional form.

  • Autocorrelation

  • Heteroskedasticity. 

  • Instrumental variables estimation

  • Econometric models with time series

Assessment pattern

Assessment type Unit of assessment Weighting
School-timetabled exam/test IN-SEMESTER TEST - 50 MINUTE LAB TEST 50
Examination EXAMINATION - 1 HOUR 30 MIN 50

Alternative Assessment

Coursework exercise which can be completed off-campus.

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. The latter is, at this level, more important. As such, assessment emphasises work based on econometric and statistical packages (mainly EViews) in the form of an lab test (delivered via SurreyLearn), 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% In-semester test: 50 minute lab test, typically in Week 7, which includes the use of an econometric package

  • 50% Examination in Week 13-14: 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

  • Provide the student with the theoretical and practical skills necessary to construct state of the art, single and multi-equation econometric models. 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 KCT
002 Demonstrate comprehensive knowledge of the properties of different estimators and tests KCT
003 Demonstrate a practical understanding of the application of econometric techniques to actual data using computer packages KCPT
004 Be critically aware of the assumptions made in building econometric models KCT
005 Write up the results of a study of an economic problem that includes econometric analysis, demonstrating the ability to communicate clearly their findings and evaluate critically state-of-the-art empirical research in that field of economics KCPT
006 Proficiently use the time series testing and estimation capabilities of a range of packages, evaluating the relative merits of competing methodologies KCPT

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:

  • prepare the students for the study of economics and econometrics at FHEQ Level 7 (first week)

  • 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

  • 4.5 hours of lectures per week x 1 week

  • 2 hour lecture per week x 10 weeks

  • 1 hour lab classes x 9 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: ECOM042

Programmes this module appears in

Programme Semester Classification Qualifying conditions
International Economics, Finance and Development MSc 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Economics MSc 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Economics and Finance MSc 1 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 2020/1 academic year.