ETF2100 - Introductory econometrics

Overview

Econometrics is a set of research tools employed across the economics and 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 … For more content click the Read More button below.

Econometrics is a set of research tools employed across the economics and 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.

Offerings

S1-01-CAULFIELD-BLENDED

S2-01-CAULFIELD-BLENDED

Requisites

Prerequisite

STA1010

6 CP

Statistical methods for science

Business and economic statistics

Introduction to statistical analysis

FIT1006

6 CP

Business information analysis

SCI1020

6 CP

Introduction to statistical reasoning

Prohibition

Rules

Enrolment Rule

If you are enrolled in course B6001 or B6030, there is no prerequisite.

To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.

Contacts

Chief Examiner(s)

Associate Professor Bin Peng

Professor Otavio Bartalotti

Learning outcomes

On successful completion of this unit, you should be able to:

apply econometric tools to modelling, estimation, inference, and forecasting in the context of real world economic and business problems

formulate and test hypotheses about the relationships between variables

understand the nature and consequences of violation of the classical assumptions and know how to test for violations

apply the skills and knowledge from the unit to real situations in business and economics

demonstrate the ability to generate and analyse statistical output for business and economic applications using an appropriate statistical software.

Teaching approach

Active learning

Problem-based learning

Assessment

1 - Within semester assessment

2 - Examination

Scheduled and non-scheduled teaching activities

Seminars

Tutorials

Workshops

Workload requirements

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.

Learning resources

Technology resources

Other unit costs

Costs are indicative and subject to change.
Electronics, calculators and tools: $100