| Delivery Type | Delivery length / details |
|---|---|
| Lecture | 30 Hours. |
| Seminars / Tutorials | 6 Hours. |
| Practical | 6 Hours. 6 PC practical workshops |
| Assessment Type | Assessment length / details | Proportion |
|---|---|---|
| Semester Assessment | 2 pieces of coursework | 30% |
| Semester Exam | 3 Hours | 70% |
| Supplementary Assessment | 3 Hours exam and/or resubmission of coursework | 100% |
Having completed the module students will be able to:
* Recognise a set of results from an OLS regression
* Carry out a regression using microfit
* Recognise key diagnostic tests
* Describe the various remedies of these problems
* Assess the policy implications of econometric models
This module introduces students to linear regression in economics, and the estimation, inference and hypothesis testing procedures involved. It builds from this introduction to help students to understand the implications of the failure of the assumptions which are fundamental to Ordinary Least Squares (autocorrelation, heteroscedasticity and multicollinearity) and the remedies to these failures.
This module presents the basics of econometrics governing failure of the Gauss Markov assumptions and the remedy to these problems.
This module is at CQFW Level 6