units

ETC5341

Faculty of Business and Economics

18 September 2017 22 November 2024
Monash University

Postgraduate - Unit

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.

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.

LevelPostgraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedClayton First semester 2015 (Day)
Clayton Second semester 2015 (Day)
Coordinator(s)Mr John Stapleton

Synopsis

This unit presents econometric models and techniques that are widely used in modern applied econometrics. Emphasis is placed on models that address the special problems that arise when analysing microeconomic data, that is, data at the level of individual consumers, households and firms. The topics covered include modelling discrete dependent variables, modelling data sets that have both a cross-section and a time-series dimension and conducting inference in models in which the dependent variable is jointly determined with one or more of the regressors. The models taught in this unit are widely used in empirical work in economics, finance and marketing.

Outcomes

The learning goals associated with this unit are to:

  1. conduct statistical inference in statistical models with a binary dependent variable
  2. conduct statistical inference in statistical models with one or more endogenous explanatory variables
  3. conduct statistical inference in a system of simultaneous equations
  4. conduct statistical inference on data that has both a time series and a cross section dimension
  5. interpret the results of econometric analysis of data in context
  6. describe the role of econometrics as it applies to the analysis of data.

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

Chief examiner(s)

Mr John Stapleton

Prerequisites

Either ETC2410 or ETC3440 or equivalent.

Prohibitions

ETC3410, ETC4341, ETW3410, ECC3410