Econometric Methods for Research - ECO00015H

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  • Department: Economics and Related Studies
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2023-24

Related modules


Additional information

Prerequisite: Econometrics and Econometric Theory

Module will run

Occurrence Teaching period
A Semester 1 2023-24

Module aims

To understand 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 illustrate the concepts of multiple linear regression, simultaneous equations models, nonlinear models, maximum likelihood and generalised method of moments
  • Explain why these concepts are important in econometrics
  • Apply these concepts to some simple examples
  • 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

Feedback will be made available according to University guidelines.

Indicative reading

Wooldrigde, J. (2010). Econometric Analysis of Cross Sections and Panel data. MIT Pressl.