Module Identifier EC30920  
Academic Year 2006/2007  
Co-ordinator Mr Kobil Ruziev  
Semester Semester 2 (Taught over 2 semesters)  
Other staff Dr Mark J Rhodes  
Pre-Requisite EC10210 , EC10320 , EC10610 and appropriate quantitative background OR appropriate mathematics and statistics modules, EC10510 , EC10910 OR  
Course delivery Lecture   30 Hours.  
  Seminars / Tutorials   6 Hours.  
  Practical   6 Hours. 6 PC practical workshops  
Assessment TypeAssessment Length/DetailsProportion
Semester Exam3 Hours  70%
Semester Assessment 2 pieces of coursework30%
Supplementary Assessment3 Hours exam and/or resubmission of coursework  100%

Learning outcomes

Having completed the module students will be able to:


This module introduces students to linear regression in economics, and the estimation, inference and hypothesis testing procedures involved. It builds from this introduction to help students to understand the implications of the failure of the assumptions which are fundamental to Ordinary Least Squares (autocorrelation, heteroscedasticity and multicollinearity) and the remedies to these failures.

Brief description

This module presents the basics of econometrics governing failure of the Gauss Markov assumptions and the remedy to these problems.


Transferable skills

Reading Lists

** Recommended Text
C Dougherty (1992) Introduction to Econometrics Oxford University Press (HB139.D7)
D N Gujarati (1997) Basic Econometrics 3rd edition. McGraw Hill (HB139.G9)
G Koop (2000) Analysis of Economic Data Wiley
J Stewart (1991) Econometrics Philip Allan (HB139.S8)


This module is at CQFW Level 6