ETW3510 - Applied econometric methods - 2019

6 points, SCA Band 3, 0.125 EFTSL

Undergraduate - Unit

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


Business and Economics

Chief examiner(s)

Associate Professor Santha Vaithilingam

Unit guides



  • First semester 2019 (On-campus)


ETW2410 or equivalent.


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, simultaneous equations models, and linear panel data models, 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.


The learning goals associated with this unit are to:

  1. conduct statistical inference in statistical models with a binary dependent variable (LOGIT and PROBIT models)
  2. conduct statistical inference in statistical models with a limited dependent variable (TOBIT and Censored Regression models)
  3. conduct statistical inference in statistical models with one or more endogenous explanatory variables
  4. conduct statistical inference in a system of simultaneous equations
  5. conduct statistical inference in static linear panel data models.


Within semester assessment: 50% + Examination: 50%

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