Postgraduate - UnitETF5600 - Quantitative models for business research

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 2, 0.125 EFTSL

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

Level	Postgraduate
Faculty	Faculty of Business and Economics
Organisational Unit	Department of Econometrics and Business Statistics
Offered	Not offered in 2015
Coordinator(s)	Professor Duangkamon Chotikapanich

Synopsis

The topics covered in this unit include: Review of regression analysis, Binomial dependent variables, Unordered multinomial dependent variables, Ordered multinomial dependent variables, Duration dependent variable. Computer software EViews will be used to apply these techniques to real world problems.

Outcomes

On successful completion of this unit, students will be able to demonstrate a solid understanding of regression analysis; modelling and analysing relationships with binomial, unordered and ordered multinomial and duration dependent variables. Students will apply their skills and knowledge of the above topics to real situations in areas such as marketing, economics and management. They will demonstrate their ability to use the relevant software to help with the analysis of the above topics.

Assessment

Within semester assessment: 35%
Examination: 65%

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 Duangkamon Chotikapanich

Prerequisites

Students must be enrolled in course codes 3816 or 3822 or 4412 or must have passed ETF2100 or or ETF5910 or ETF9100.

Prohibitions

ETF3600, ETC4420, ETC5420