Course Title: Basic Econometrics

Part A: Course Overview

Course Title: Basic Econometrics

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


625H Economics, Finance and Marketing


Sem 1 2006,
Sem 1 2007,
Sem 2 2008,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014,
Sem 2 2015,
Sem 1 2016,
Sem 2 2016,
Sem 1 2017,
Sem 1 2018,
Sem 2 2018,
Sem 1 2019,
Sem 2 2019,
Sem 1 2020,
Sem 2 2020,
Sem 1 2021,
Sem 2 2021,
Sem 1 2022,
Sem 2 2022,
Sem 1 2023,
Sem 2 2023,
Sem 1 2024


Singapore Inst of Management


625H Economics, Finance and Marketing


Offsh1 16,
Offsh3 16,
Offsh1 17,
Offsh3 18,
Offsh1 19,
Offsh3 19,
Offsh1 20,
Offsh3 20,
Offsh1 21,
Offsh3 21,
Offsh1 22,
Offsh3 22,
Offsh1 23,
Offsh3 23,
Offsh1 24,
Offsh3 24


RMIT University Vietnam


625H Economics, Finance and Marketing


Viet1 2016,
Viet3 2016,
Viet2 2017,
Viet1 2018,
Viet3 2018,
Viet2 2019,
Viet1 2020,
Viet3 2020,
Viet2 2021,
Viet1 2022,
Viet3 2022,
Viet2 2023,
Viet1 2024


RMIT Vietnam Hanoi Campus


625H Economics, Finance and Marketing


Viet1 2020,
Viet3 2020,
Viet2 2021,
Viet1 2022,
Viet3 2022,
Viet2 2023,
Viet1 2024

Course Coordinator: Yonatan Navon

Course Coordinator Phone: +61 (3) 99257235

Course Coordinator Email:

Course Coordinator Location: Melbourne City Campus, Building 80

Course Coordinator Availability: By appointment via email

Pre-requisite Courses and Assumed Knowledge and Capabilities

Assumed Knowledge

Recommended: Business Statistics 1 or Business Decision Making or equivalent.

Course Description

This course introduces students to the econometric methods used to conduct empirical analysis in Economics and Finance. You will learn how to estimate linear regression models with real datasets from Australia and around the world. The key topics will be illustrated with examples such as the effect of education on wages or the effect of firm profitability on CEO’s bonuses. This course is designed to provide you with the basic quantitative techniques needed to undertake applied research projects.

Objectives/Learning Outcomes/Capability Development


On successful completion of this course you will be able to:

  1. Critically analyse and synthesise data to formulate effective economic and business decisions.
  2. Effectively communicate business data and econometric concepts to professionals and non-professionals in diverse business contexts.
  3. Apply technical and analytical knowledge to provide specialist advice to people from business disciplines in diverse business contexts.
  4. Apply reasoned judgements to solve a variety of statistical and econometric problems in business disciplines such as Accounting, Economics, Finance and Marketing, with reference to business, government policy and global perspectives.
  5. Use the feedback given on your performance to identify action strategies that required for improvement.

Overview of Learning Activities

To achieve the objectives listed, this course requires students to participate in various learning activities. These activities include, but are not limited to, the following:

  • students should attend lectures, take notes and participate in in-class activities
  • students should actively attend and participate in tutorials, working by themselves or in small groups on problems provided before each tutorial
  • students should actively learn to use appropriate econometric software to estimate models and perform diagnostic testing.

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies\Canvas. The lecture notes and workshop notes are posted on Canvas.

Resources are also available online through RMIT Library databases and other facilities. Visit the RMIT library website for further details. Assistance is available online via our chat and email services, face to face at our campus libraries or via the telephone on (03) 9925 2020.

Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period. 

Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows:

Assessment Task 1: 20% 
Linked CLOs: 1, 3, 4

Assessment Task 2: 40% 
Linked CLOs: 1, 2, 3, 4, 5

Assessment Task 3: 40% 
Linked CLOs: 1, 3, 4

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on practical exercises and by individual consultation.