Econometric Methods for Research - ECO00015H
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.