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ECON241: Introductory Econometrics
This unit introduces students to basic econometric techniques employed by economists in the analysis of economic relationships. These techniques are also used extensively in marketing and finance. In addition to its role as a basis for programs of study in economics, marketing and finance, this is the foundation econometric unit for students who wish to undertake a program of study in applied econometrics. Topics covered include: estimation and hypothesis testing; simple and multiple regression; forecasting; interpretation and evaluation of regression models, including an elementary discussion of nonlinear modelling, heteroscedasticity, auto-correlation, multicollinearity and specification error; the use of categorical or qualitative data in regression models; structural change in economic relationships; and seasonal effects in time series models. Emphasis is placed throughout the unit on the application of econometric techniques and the interpretation of estimated results rather than formal theoretical proofs and derivations. The emphasis on application rather than theory means that this is a learn-by-doing unit. Estimated results are obtained using an econometric computer program. Attention is then focused on the interpretation and evaluation of the estimated results. Numerous illustrative examples and applications drawn from economics, marketing and finance are discussed.
| Credit Points: | 3 |
| Contact Hours: | |
| When Offered: | D1 - Day; Offered in the first half-year E1 - Evening; Offered in the first half-year D2 - Day; Offered in the second half-year E2 - Evening; Offered in the second half-year Session 3 - Offered in January-February 2012 |
| Staff Contact(s): | Mr Roger Tonkin, Associate Professor Roselyne Joyeux |
| Prerequisites: |
(STAT122 or STAT170 or STAT171 or PSY122) and (ECON110 or ECON111 or BBA103) |
| Corequisites: | |
| NCCW(s): | ECON140, ECON141 |
| Unit Designation(s): | |
| Assessed As: | Graded |
| Offered By: | Department of Economics |
Timetable Information
For unit timetable information please visit the Timetables@Macquarie Website .