University of the West of England

MODULE SPECIFICATION

(Revised November 2002)                   

 

Code:   UPEN3P-15-M   Title:    Econometrics                           Version:           1

 

Level:  M                     UWE credit rating:       15                     ECTS credit rating: 7.5

 

Module type:                Standard

 

Owning Faculty:          HLSS                            Field:   Economics       

 

Valid from:       September 2004                        Discontinued from:

 

Pre-requisites:                        None

 

Co-requisites:                           None

 

Excluded combinations:          None

 

Learning outcomes:    

 

By the end of the module a student should:

·         have a knowledge and  understanding of econometric analysis to an advanced level (Component A & B)

·         have a knowledge and  understanding of the value and limitations of econometric techniques (Component A & B)

·         develop a critical perspective on the use of econometric analysis. (Components A and B)

·         be proficient in using an advanced econometric package; (Component A & B)

·         be able to independently replicate econometric analyses of economic data. (Component B)

 

Syllabus outline:

 

·         The simple (two-variable) regression model. 

·         Multiple regression.

·         Statistical inference and hypothesis testing (the classical criteria:  Wald, Likelihood ratio and Lagrange multiplier tests). 

·         Violation of the assumptions of the classical regression model. 

·         Autocorrelation and dynamic models. 

·         Time series modelling. 

·         Heteroskedasticity and Multicollinearity.

·         Diagnostic checking, model selection and specification. 

·         Limited dependent variable models. 

·         Simultaneous equation models. 

·         Unit roots, VARs and Cointegration.

 

Teaching and learning methods:

 

Lectures and workshops will complement each other. Workshops will be computer based exercises on Microfit 4.1 and will allow students to work through the topics covered in the lectures.

 

Indicative sources:      

 

Maddala, GS., 2001, Introduction to Econometrics, John Wiley.

 

Pindyck, RS., 2000, Econometrics Models and Economic Forecasts, McGraw Hill.

 

DN Gujarati and White, 2002, Basic Econometrics, McGraw-Hill.

 

Carter Hill, R, WE Griffith, GG Judge, 2000, Undergraduate Econometrics, John Wiley.

 

Greene, WH., 1999, Econometric Analysis, Macmillan.

 

RL Thomas, 1997, Modern Econometrics: An Introduction Addison-Wesley.

 

Pesaran, MH and Pesaran B., 1997, Microfit 4.0 Manual (Windows Version), Oxford University                                 Press, ISBN 0-19-268531-7.

 

 

Assessment

 

Weighting between components A and B                   A: 50%  B: 50%

 

ATTEMPT 1

 

First Assessment Opportunity

Component A

Description of each element                                                                Element weighting

1.  Unseen exam, 2 hours                                                                                   50%

 

Component B

Description of each element                                                                Element weighting

1.  Individual coursework assignment using Microfit of up to 2000 words                  50%

 

 

Second Assessment Opportunity (further attendance at taught classes is/is not required)

Component A

Description of each element                                                                Element weighting

1.  Unseen exam, 2 hours                                                                                   50%

 

Component B

Description of each element                                                                Element weighting

1.  Individual coursework assignment using Microfit of up to 2000 words                  50%

 

 

SECOND (OR SUBSEQUENT) ATTEMPT: Attendance at taught classes is not required.

 

Specification confirmed by:  Module approved at VARSC 13.05.04.

 

Date ……………………………

(Associate Dean/Programme Director)