- Department: Economics and Related Studies
- Credit value: 20 credits
- Credit level: M
- Academic year of delivery: 2022-23
Occurrence | Teaching period |
---|---|
A | Autumn Term 2022-23 to Spring Term 2022-23 |
SE provides an introduction to a range of statistical and econometric techniques commonly used in quantitative analysis. Special attention is given to the ideas behind the techniques, rather than to memorization of the techniques themselves.
On completing the module a student will be able to:
define and illustrate the concepts of probability, random variables, point and interval estimation, hypotheses testing, correlation, estimation and statistical inference using the regression model; heteroskedasticity; autocorrelation; specification errors; dummy variables; instrumental variables techniques; binary choice models.
explain why these concepts are important in quantitative analysis,
apply these concepts to a real world situation,
use a statistical computer package.
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
None
Task | % of module mark |
---|---|
Online Exam -less than 24hrs (Centrally scheduled) | 100 |
Information currently unavailable
Dougherty, C.c Introduction to Econometrics, Oxford University Press, 4th Edition, 2011.