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ETC4350 - Survey data analysis

6 points, SCA Band 0 (NATIONAL PRIORITY), 0.125 EFTSL

Undergraduate, Postgraduate Faculty of Business and Economics

Leader(s): Dr Neil Diamond and Professor Felix Mavondo

Offered

Clayton Second semester 2009 (Day)

Synopsis

Introduction to multivariate statistical techniques for the analysis of survey data and models to analyse the discrete choice behaviour of individuals. Topics include multivariate analysis of variance, principal components analysis, factor analysis, correspondence analysis and models of discrete choice behaviour. Statistical software and case studies will be utilised during this subject and students will apply the techniques to a variety of practical problems.

Objectives

The learning goals associated with this unit are to:

  • model and forecast stationary autoregressive and moving average time series
  • test for unit roots in univariate time series
  • analyse the relationships between multiple, stationary time series
  • test for, estimate and interpret the long run relationships between non-stationary time series.

Assessment

Within semester assessment: 40%
Examination (2 hours): 60%

Contact hours

Two 1-hour lectures and one 2-hour tutorial per week

Prerequisites

Students must have passed one of the following units ETC2400, ECC2410, ETC2410, ETC2430, ETC2450, ETC2500, ETC3440, ETC3444 or MKC2500.

Prohibitions

ETC3500, ETC3504, ETF3500, MKC3500, MKF3500

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