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Econometric Methods for Research - ECO00044M

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  • Department: Economics and Related Studies
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2022-23

Module will run

Occurrence Teaching period
A Autumn Term 2022-23 to Spring Term 2022-23

Module aims

To understand and critically assess some of the econometric techniques used in modern economic research.

Module learning outcomes

On completing the module a student will be able to:

Define, and illustrated, the concepts of multiple linear regression, simultaneous equations models, nonlinear models, maximum likelihood and generalised method of of moments.

Explain and evaluate the importance of these econometric concepts.

Apply these concepts to analyse the economics of finance data.

Define and illustrate the concept of statistical hypothesis.

 

Indicative assessment

Task % of module mark
Online Exam - 24 hrs (Centrally scheduled) 100

Special assessment rules

None

Indicative reassessment

Task % of module mark
Online Exam - 24 hrs (Centrally scheduled) 100

Module feedback

Within 4 weeks.

Indicative reading

Wooldridge, J., Econometric Analysis of Cross Sections and Panel Data 2nd Edition, MIT Press 2010.

Additional references will be provided during the course.


The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.