BS2570: Introductory Econometrics
| School | Cardiff Business School |
| Department Code | CARBS |
| Module Code | BS2570 |
| External Subject Code | 100604 |
| Number of Credits | 20 |
| Level | L5 |
| Language of Delivery | English |
| Module Leader | Mr Zhirong Ou |
| Semester | Double Semester |
| Academic Year | 2013/4 |
Outline Description of Module
The Introductory Econometrics module introduces students to the main empirical techniques used by economists.
On completion of the module a student should be able to
A Knowledge and Understanding:
- understand the relationship between economic theory and econometrics.
- understand the basic techniques of statistical inference as used in empirical investigation.
- understand the issues which arise in applying these techniques in an economic context.
B Intellectual Skills:
- be able to express theoretical propositions in a testable form.
- be able to assess competing theories on the basis of empirical evidence.
C Discipline Specific Skills:
- be able to formulate, estimate and test a regression equation.
- be able to use econometric software to carry out estimation and testing.
D Transferable Skills:
- be able to collect, record, display and analyse numerical data
How the module will be delivered
There are about 40 hours of lectures and 16 hours of classes.
Indicative study hours: 200
How the module will be assessed
Examination Component 60%
A 3 hour examination at the end of the Spring Semester (50%)
Continuous Assessment 40%
Two class tests/assignments in Week 8 of Semester 1 and Week 8 of Semester 2.
Assessment Breakdown
| Type | % | Title | Duration(hrs) |
|---|---|---|---|
| Exam - Spring Semester | 60 | Introductory Econometrics | 3 |
| Class Test | 20 | Introductory Econometrics - Non Accounting | N/A |
| Written Assessment | 20 | Introductory Econometrics | N/A |
Syllabus content
Descriptive Statistics. Probability and Random Variables. Discrete and Continuous Probability Distributions, Principles of Estimation and Hypothesis Testing. The Simple Regression Model, The Multiple Regression Model. Prediction, Dummy Variables, Test of Specification and Misspecification, Heteroscedasticity, Autocorrelation.
Essential Reading and Resource List
R Carter Hill, W E Griffiths, G G Judge, “Principles of Econometrics” (3rd edition), Wiley 2008