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Basic Econometrics (ECOM90001)
Graduate courseworkPoints: 12.5Online
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 1
Overview
Availability | Semester 1 - Online |
---|---|
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. Empirical assignments undertaken by the student form an integral part of the subject.
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.
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: 3 November 2022
Eligibility and requirements
Prerequisites
Admission into one of the following: MC-APPECON Master of Applied Econometrics, 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 1 (Online) |
12.5 |
ECOM20001 | Econometrics 1 |
Semester 1 (Online)
Semester 2 (Dual-Delivery - 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: 3 November 2022
Assessment
Semester 1
Description | Timing | Percentage |
---|---|---|
(Optional) Assignment 1
| Week 4 | 10% |
Assignment 2
| Week 10 | 10% |
Mid-semester test
| Week 7 | 10% |
End of semester examination
| End of semester | 70% |
Additional details
The final mark will be calculated by weighting the end-of-semester exam at 70% and Assignment 1 at 10% OR by weighting the end-of-semester exam at 80% and Assignment 1 at 0%, whichever gives the higher mark.
To pass this subject students must pass the end of semester examination.
Important online examination information: This examination is the equivalent of a 2-hour assessment; however, students are provided with 3-hours to accommodate the time that will be required for typesetting of mathematical expressions and the uploading of documents.
Last updated: 3 November 2022
Dates & times
- Semester 1 - Online
Principal coordinator Andrew Clarke Mode of delivery Online Contact hours 2 x 1 hour recorded lectures, 1 hour live online tutorial, 2 hours live consultation hours. Total time commitment 170 hours Teaching period 1 March 2021 to 30 May 2021 Last self-enrol date 12 March 2021 Census date 31 March 2021 Last date to withdraw without fail 7 May 2021 Assessment period ends 25 June 2021 Semester 1 contact information
Time commitment details
Estimated total time commitment of 170 hours per semester
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
- Subject notes
Students may not gain credit for both ECOM90001 Basic Econometrics and either ECOM30001 Basic Econometrics or ECOM20001 Introductory Econometrics.
- 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.
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
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 3 November 2022