Undergraduate, Postgraduate - UnitETC4410 - Applied econometrics 2

This unit entry is for students who completed this unit in 2015 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.

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6 points, SCA Band 3, 0.125 EFTSL

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

Level	Undergraduate, Postgraduate
Faculty	Faculty of Business and Economics
Organisational Unit	Department of Econometrics and Business Statistics
Offered	Clayton First semester 2015 (Day)
Coordinator(s)	Professor Heather Anderson, Professor Keith McLaren

Synopsis

This unit consists of two components relating to the theory underlying, and the implementation of, empirical work in econometrics. The first topic covers the specification and estimation of systems of consumer demand equations and producer demand and supply equations, extensions of these methods to other areas, and some practical applications. The second topic covers growth regressions, trend/cycle decompositions, structural breaks, structural vector autoregressions and error correction models and macroeconomic panels, together with some practical applications. On completion of this unit students should be familiar with recent developments in these fields and have developed the skills to undertake empirical work. Further, students should be able to critically evaluate empirical work and related policy analysis.

Outcomes

The learning goals associated with this unit are to:

specify the structure of consumer demand systems
use duality theory to generalise these specifications
understand the use of appropriate specific estimation techniques
extend these ideas to producer demand and supply models
consider a number of empirical applications, and derive policy implications
become competent in handling demand and production data using econometric software
specify, estimate and interpret growth regressions
understand the modelling of trends, cycles and structural breaks
specify, estimate and interpret structural vector autoregressions and error correction 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.

Chief examiner(s)

Professor Heather Anderson

Prerequisites

Students must have passed one of the following before undertaking this unit ETC3400, ETC3410 , ETF3200, ETC3450