ETC2410

Practical econometrics

6 points
* Two 1-hour lectures and one 2-hour tutorial per week
* First and second semester
* Clayton
* Prerequisites: ETC1031 with pass or ETC1032 with credit
* Prohibitions: ETC2400, ETC3440

Objectives On completion of this subject students should feel confident about undertaking straightforward empirical work with economic and accounting data, and have a preparation for more advanced study of the techniques of applied econometrics; understand the properties and limitations of classical multiple regression analysis; understand the role of tests which can be applied to an estimated regression model in order to determine its usefulness in explaining a relationship between variables; understand the role of procedures which can be followed to overcome limitations of the classical model.

Synopsis An introduction to linear multiple regression techniques; properties of least squares estimators; probability distributions and their applications to hypothesis testing; an introduction to the generalised least squares estimator; the problems of serial correlation, heteroscedasticity and multicollinearity; the use of dummy variables; the choice of an appropriate functional form; study of the application of the techniques and tests, through the study of published empirical work and the data sets used in them.

Assessment Test on matrices (45 minutes): 10%
* Written (1 assignment [computing and report]): 30%
* Examination (2 hours): 60%

Prescribed texts

Gujarati D N Basic econometrics 3rd edn, McGraw-Hill, 1995