Basic Econometrics (ECOM90001)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
| Availability | Semester 1 Semester 2 |
|---|---|
| Fees | Look up fees |
This subject examines multiple regression analysis and its use in economics, management, finance, accounting, and marketing. Topics will include the properties of estimators, hypothesis testing, specification error, multicollinearity, dummy variables, heteroskedasticity, serial correlation, panel data, and methods for discrete dependent variables. These methods are consolidated through a research project which involves formulating hypotheses, real-world data collection, and writing-up the results in a formal report.
Intended learning outcomes
On successful completion of this subject students should be able to:
- Apply the classical model of ordinary least squares to data sets drawn from economics, finance, accounting and management using single and multiple regression equations;
- Test hypotheses concerning the relationship between variables;
- Explain in detail the consequences of the violation of any one of the classical assumptions;
- Test for violations of the classical assumptions;
- Estimate models in the presence of non-classical errors and stochastic explanatory variables;
- Diagnose model misspecification using the most appropriate tests, and where appropriate identify the appropriate remedial actions;
- Use computer software to perform simple data descriptions and to graph relationships between variables, to estimate econometric models using OLS and Instrumental Variables, and to estimate simple dynamic models;
- Apply econometric methods to real world data and perform diagnostic testing to ensure the model is adequately specified.
- Formulate hypotheses about economic phenomena, collect real-world data, apply econometric methods to test hypotheses, and draw evidenced-based conclusions or implications for economic theory and/or public policy.
Generic skills
On successful completion of this subject, students should have improved the following generic skills:
- Evaluation of ideas, views and evidence
- Synthesis of ideas, views and evidence
- Critical thinking
- Application of theory to economic policy and business decision making
- Accessing economic and other information
- Summary and interpretation of information
- Using computer programs
- Statistical reasoning
- Problem solving skills
- Collaborative learning and teamwork
- Written communication
- Oral communication
Last updated: 4 March 2025
Eligibility and requirements
Prerequisites
Admission into one of:
- MC-AEMTRCS Master of Applied Econometrics
- MC-AECOENH Master of Applied Econometrics (Enhanced)
- MC-COMDRFS Master of Commerce (Decision, Risk and Financial Sciences)
Corequisites
None
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ECOM30001 | Basic Econometrics |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
| ECOM20001 | Econometrics 1 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 4 March 2025
Assessment
| Description | Timing | Percentage |
|---|---|---|
Research Proposal Report
| Week 4 | 5% |
Mid-semester test
| Week 7 | 10% |
Research Progress Report
| Week 8 | 10% |
Research Submission Report
| Week 12 | 25% |
End of semester examination
| End of semester | 50% |
Additional details
To pass this subject students must pass the end of semester examination.
Last updated: 4 March 2025
Dates & times
- Semester 1
Principal coordinator Andrew Clarke Mode of delivery On Campus (Parkville) Contact hours Two 1-hour lectures and a 1-hour tutorial/seminar per week Total time commitment 170 hours Teaching period 3 March 2025 to 1 June 2025 Last self-enrol date 14 March 2025 Census date 31 March 2025 Last date to withdraw without fail 9 May 2025 Assessment period ends 27 June 2025 Semester 1 contact information
- Semester 2
Principal coordinator David Moreton Mode of delivery On Campus (Parkville) Contact hours Two 1-hour lectures and one 1-hour tutorial/seminar per week Total time commitment 170 hours Teaching period 28 July 2025 to 26 October 2025 Last self-enrol date 8 August 2025 Census date 1 September 2025 Last date to withdraw without fail 26 September 2025 Assessment period ends 21 November 2025 Semester 2 contact information
David Moreton: dmoreton@unimelb.edu.au
Time commitment details
Estimated total time commitment of 170 hours per semester
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 4 March 2025
Further information
- Texts
- Subject notes
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Applied Econometrics Course Master of Commerce (Decision, Risk and Financial Sciences) - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
Last updated: 4 March 2025