ETF5320 - Applied econometrics - 2019

6 points, SCA Band 3, 0.125 EFTSL

Postgraduate - 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

Chief examiner(s)

Dr Denni Tommasi

Coordinator(s)

Dr Denni Tommasi

Unit guides

Offered

Caulfield

  • First semester 2019 (On-campus)

Prerequisites

ETF2100, ETC2410, ETC3440Not offered in 2019, ETF5910 or equivalent.

Prohibitions

ETF3200, ETC3410.

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 estimations, simultaneous equations models, models for time-series data and panel data. EViews computer software is used to carry out data analysis and estimation.

Outcomes

The learning goals associated with this unit are to:

  1. conduct statistical inference in linear regression models with random regressors using the method of moments and the instrumental variables estimators
  2. conduct statistical inference for simultaneous equations models
  3. understand the statistical properties of non-stationary macroeconomic time series data and how to model the long-run relationships among co-integrated time series
  4. 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.

See also Unit timetable information