The quantitative estimation and evaluation of economic models is an essential feature of the study and application of economics. This module provides an introduction to econometric theory and the application of econometric techniques to economic models and data. This is achieved by explaining key economic and econometric issues using applications of econometrics that quantify and evaluate economic theory and which provide an empirical evaluation of economic behaviour and the assessment of economic policy.
The module provides both an analytical and practical introduction to econometric theory, equipping students with the analytical tools to carry out applied econometric work and to explore more advanced areas of econometric theory at later stages of their chosen degree programme. The practice and application of econometrics is achieved using both Microsoft Excel and specialist econometric software (e.g. Eviews &/or Stata).
The topics considered in the module include:
• Models and data; ordinary least squares (OLS), properties of OLS, simple and multiple linear regression, inference, confidence intervals, hypothesis tests, multicollinearity, heteroscedasticity, autocorrelation, dummy variables, functional form, linear restrictions, diagnostic testing and basic panel data.
Total contact hours: 30 hours
Private study hours: 120
Total study hours: 150
This module is compulsory for all Single honours degree programmes in Economics.
This module is an elective for all Joint honours programmes in Economics.
This module is not available to students across other degree programmes in the University.
Method of assessment
Moodle Quiz (10%)
• In Course Test 1 (45 minutes) (20%)
• In Course Test 2 (45 minutes (20%)
• Written Report (50%)
Reassessment Instrument: 100% written report
The main text for the module is:
J Wooldridge (2016), Introductory Econometrics: A Modern Approach, 6th ed, Cengage
Other examples are
C Dougherty (2011), Introduction to Econometrics, 4th ed, Oxford University Press
D Gujarati (2015), Econometrics by Example, 2nd ed, Palgrave
D Gujarati and D Porter (2010), Essentials of Econometrics, 4th ed, McGraw-Hill
G Maddala and K Lahiri (2009), Introduction to Econometrics, 4th ed, Wiley
See the library reading list for this module (Canterbury)
By the end of the module you will be able to:
* identify and appreciate the different types of models, data and data sources in economics.
* demonstrate knowledge and understand of the least squares estimator.
* apply economic theory to economic models and data.
* interpret empirical results obtained from the application of econometric theory.
* apply tests of model adequacy, particularly tests of the basic assumptions of the classic linear regression framework.
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Credit level 5. Intermediate level module usually taken in Stage 2 of an undergraduate degree.
- ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
- The named convenor is the convenor for the current academic session.
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