units

ETC4420

Faculty of Business and Economics

Monash University

Undergraduate, Postgraduate - Unit

This unit entry is for students who completed this unit in 2014 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.

print version

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, or view unit timetables.

LevelUndergraduate, Postgraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedClayton First semester 2014 (Day)
Coordinator(s)Professor Xueyan Zhao

Synopsis

This unit covers specification, estimation and evaluation of a range of statistical models used to analyse (predominantly) micro data in economics, finance and marketing. These include models of discrete data on individual choice behaviour, censored and truncated data. A hands-on approach is taken, such that the models are illustrated with real-life applications.

Outcomes

The learning goals associated with this unit are to:

  1. know in which situations the linear regression model is not an appropriate way to model the behaviour of interest
  2. apply a range of alternative models in situations when the linear regression model is not appropriate
  3. model data as recorded in either surveys or panels
  4. use appropriate models to predict the probability that an individual will choose a particular: labour market state; mode of transport; consumption level of alcohol; number of cigarettes to smoke per week; and so on.

Assessment

Within semester assessment: 40%
Examination: 60%

Chief examiner(s)

Workload requirements

3 hours per week

Prerequisites

Students must have passed one of the following before undertaking this unit. ECC3410, ETC3400 or ETC3410