Econometric Methods for Research - ECO00044M

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  • Department: Economics and Related Studies
  • Module co-ordinator: Dr. Francesco Bravo
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20 to Spring Term 2019-20

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.

 

Assessment

Task Length % of module mark
University - closed examination
Econometric Methods for Research
N/A 100

Special assessment rules

None

Reassessment

Task Length % of module mark
University - closed examination
Econometric Methods for Research
N/A 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 is constantly exploring 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 by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.