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ETF5910 · Introductory applied econometrics

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Econometrics and Business Statistics

Last checked: 23 Aug 2026 UTC

Overview

Econometrics is a set of research tools employed not only in economics but also in business disciplines. This unit covers the basic tools for estimation in the context of simple and multiple linear regression, the sampling properties of the least squares estimator, statistical inference and hypothesis testing. It also covers regression with dummy variables, model specification issues and estimation problems when least squares assumptions are violated. Statistical analysis software is used as the software package.

Offerings

CampusTeaching periodMode
CaulfieldFirst semesterActivities scheduled as a mix of on-campus and online activities (BLENDED)
CaulfieldSecond semesterTeaching activities are on-campus (ON-CAMPUS)
CaulfieldNovember teaching periodTeaching activities are on-campus and in a block period (ON-BLK)

Assessment

The Handbook lists an examination for this unit.

#AssessmentTypeWeightHurdle
11 - ExerciseExercise10%
22 - Quiz / TestQuiz / Test15%
33 - WrittenWritten25%
44 - ExaminationExamination50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

prohibitions

  • ETC2410 — Introductory econometrics
  • ETC3440 — Introductory econometrics
  • ETF2100 — Introductory econometrics
  • ETW2510 — Introduction to econometrics
  • ETX2100 — Introductory econometrics
  • ETC5241 — Introductory econometrics

Joined by OR.

prerequisite

  • ETB1100 — Business statistics
  • ETC1000 — Business and economic statistics
  • ETC5900 — Business statistics
  • ETF1100 — Business statistics
  • ETF5900 — Business statistics
  • ETM5900 — Business statistics
  • ETW1001 — Introduction to statistical analysis
  • FIT1006 — Business information analysis
  • SCI1020 — Introduction to statistical reasoning
  • STA1010 — Statistical methods for science
  • ETX1100 — Business statistics
  • ETX5900 — Business statistics

Joined by OR.

Learning outcomes

  1. apply econometric tools to modelling, estimation, inference, and forecasting in the context of real world economic and business problems
  2. formulate and test hypotheses about the relationships between variables
  3. understand the nature and consequences of violation of the classical assumptions and know how to test for violations
  4. apply the skills and knowledge from the unit to real situations in business and economics, critically analysis and evaluate the results from applications, and make policy recommendations
  5. demonstrate the ability to generate and analyse statistical analysis software computer output for business and economic applications.

Workload

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. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

ActivityDuration
Seminars24 hours
Workshops12 hours
Workshops36 hours
Workshops24 hours
Tutorials12 hours
Assessments

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