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Basic Econometrics (ECOM90001)
Graduate courseworkPoints: 12.5On Campus (Parkville)
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 |
---|---|
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
ECON90049 Quantitative Decision Making 2
OR
Entry into the Master of Commerce(Finance) 202AF
And one of:
ECON20003 Quantitative Methods 2
MAST20005 Statistics
And one of:
FNCE10002 Principles of Finance
ECON20001 Intermediate Macroeconomics
ECON20002 Intermediate Microeconomics
FNCE20001 Business Finance
ECON90049
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECON20003 | Quantitative Methods 2 |
Semester 2 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST20005 | Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
ECON20001 | Intermediate Macroeconomics | Semester 2 (On Campus - Parkville) |
12.5 |
ECON20002 | Intermediate Microeconomics |
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
FNCE20001 | Business Finance |
Semester 1 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
FNCE10002 | Principles of Finance |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
ECOM30001 Basic Econometrics or ECOM20001 Introductory Econometrics
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM30001 | Basic Econometrics | Semester 1 (On Campus - Parkville) |
12.5 |
ECOM20001 | Introductory Econometrics |
Semester 2 (On Campus - Parkville)
Semester 1 (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: 3 November 2022
Assessment
Additional details
- Problem sheets, submitted fortnightly (10%)
- 2000 word assignment due Week 4 (10%)
- A 1-hour mid-semester test (10%)
- 2-hour end-of-semester examination (70%)
Note: Successful completion of this subject requires a pass (50%) in the final exam.
Last updated: 3 November 2022
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 27 February 2017 to 28 May 2017 Last self-enrol date 10 March 2017 Census date 31 March 2017 Last date to withdraw without fail 5 May 2017 Assessment period ends 23 June 2017 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 Commerce (Decision, Risk and Financial Sciences) Course Master of Applied Econometrics - 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.
Last updated: 3 November 2022