This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

ETF3200 - Applied econometrics

6 points, SCA Band 3, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Business and Economics

Organisational Unit

Department of Econometrics and Business Statistics

Coordinator(s)

Dr Vasilis Sarafidis

Offered

Caulfield

First semester 2016 (Day)

Synopsis

This unit presents econometric models and techniques that are widely used in applied econometrics. The topics covered are linear regression models with random regressors, method of moments and instrumental variables estimation; simultaneous equations models; models for time-series data; introduction to maximum likelihood estimation; models for discrete dependent variables and models for panel data. EViews computer software is used to carry out data analysis and estimation.

Outcomes

The learning goals associated with this unit are to:

conduct statistical inference in linear regression models with random regressors using the method of moments and the instrumental variables estimators
conduct statistical inference for simultaneous equations models
understand the statistical properties of nonstationary macroeconomic time series data and how to model the long-run relationships among co-integrated time series
conduct statistical inference in models with discrete dependent variables
conduct statistical inference in panel data models.

Assessment

Within semester assessment: 40%
Examination: 60%

Workload requirements

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.