ES20069: Introduction to econometrics
[Page last updated: 04 August 2021]
Academic Year:  2021/2 
Owning Department/School:  Department of Economics 
Credits:  12 [equivalent to 24 CATS credits] 
Notional Study Hours:  240 
Level:  Intermediate (FHEQ level 5) 
Period: 
 Academic Year

Assessment Summary:  CW 50%, EX 50% 
Assessment Detail: 
 Semester 1 Examination (EX 50%)
 Semester 2 Coursework (CW 50%)

Supplementary Assessment: 
 Likeforlike reassessment (where allowed by programme regulations)

Requisites: 
Before taking this module you must ( take ES10005 AND take ES10003 ) OR ( take MA10211 AND take MA10212 ) OR ( take ES10158 AND take ES10003 )

Aims:  The aim of this two semester Unit is to provide an introduction to econometric methods for students who have some knowledge of statistical hypothesis testing and regression. The unit follows a systematic approach to model building focusing on formulation, estimation, interpretation and evaluation. These concepts will be reinforced through practical workshops, which also provide an opportunity for students to develop investigative skills.

Learning Outcomes:  At the end of the course unit students should be able to:
* Undertake regression analysis using statistical software;
* Interpret regression results using a variety of techniques as applied to to crosssectional and timeseries data;
* Appraise the adequacy of regression results and formulate appropriate diagnostic procedures when dealing with data.

Skills:  Problemsolving, research skills.

Content:  Topics covered include: the nature of econometrics, bivariate regression analysis, multiple regression analysis, specification error, muticollinearity, heteroskedasticity, autocorrelation, instrumental variables, stationarity, cointegration and error correction models.

Programme availability: 
ES20069 is Optional on the following programmes:
Department of Mathematical Sciences
 USMAAFB15 : BSc(Hons) Mathematical Sciences (Year 2)
 USMAAFB15 : BSc(Hons) Mathematical Sciences (Year 3)
 USMAAAB16 : BSc(Hons) Mathematical Sciences with Study year abroad (Year 2)
 USMAAAB16 : BSc(Hons) Mathematical Sciences with Study year abroad (Year 4)
 USMAAKB16 : BSc(Hons) Mathematical Sciences with Year long work placement (Year 2)
 USMAAKB16 : BSc(Hons) Mathematical Sciences with Year long work placement (Year 4)
 USMAAFB13 : BSc(Hons) Mathematics (Year 2)
 USMAAFB13 : BSc(Hons) Mathematics (Year 3)
 USMAAAB14 : BSc(Hons) Mathematics with Study year abroad (Year 2)
 USMAAAB14 : BSc(Hons) Mathematics with Study year abroad (Year 4)
 USMAAKB14 : BSc(Hons) Mathematics with Year long work placement (Year 2)
 USMAAKB14 : BSc(Hons) Mathematics with Year long work placement (Year 4)
 USMAAFB01 : BSc(Hons) Mathematics and Statistics (Year 3)
 USMAAAB02 : BSc(Hons) Mathematics and Statistics with Study year abroad (Year 4)
 USMAAKB02 : BSc(Hons) Mathematics and Statistics with Year long work placement (Year 4)
 USMAAFB05 : BSc(Hons) Statistics (Year 2)
 USMAAFB05 : BSc(Hons) Statistics (Year 3)
 USMAAAB06 : BSc(Hons) Statistics with Study year abroad (Year 2)
 USMAAAB06 : BSc(Hons) Statistics with Study year abroad (Year 4)
 USMAAKB06 : BSc(Hons) Statistics with Year long work placement (Year 2)
 USMAAKB06 : BSc(Hons) Statistics with Year long work placement (Year 4)
 USMAAFM14 : MMath(Hons) Mathematics (Year 2)
 USMAAFM14 : MMath(Hons) Mathematics (Year 3)
 USMAAAM15 : MMath(Hons) Mathematics with Study year abroad (Year 2)
 USMAAKM15 : MMath(Hons) Mathematics with Year long work placement (Year 2)
 USMAAKM15 : MMath(Hons) Mathematics with Year long work placement (Year 4)
School of Management
 UMMNAFB02 : BSc(Hons) Accounting and Finance (Year 3)
 UMMNAKB02 : BSc(Hons) Accounting and Finance with Year long work placement (Year 4)

Notes:  This unit catalogue is applicable for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this unit will be available in future years in the format displayed here for 2021/22.
 Programmes and units are subject to change in accordance with normal University procedures.
 Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any prerequisite rules.
 Find out more about these and other important University terms and conditions here.
