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Econometrics 1 (ECOM20001)
Undergraduate level 2Points: 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
Semester 2
Overview
Availability | Semester 1 Semester 2 |
---|---|
Fees | Look up fees |
Topics include review of statistics; F and chi-squared distributions ; review of simple linear regression model; multiple linear regression model; hypothesis testing, forecasting, diagnostics with regression models (including heteroskedasticity, serial correlation and model specification). Examples drawn from economics, finance, accounting, marketing and management.
Intended learning outcomes
- Apply the least-squares method of estimation to the context of the simple linear regression model.
- Apply the principles of the least-squares method of estimation and inference to the multiple linear regression model.
- Apply the statistical software R to estimate, test hypotheses and forecast in the context of the linear regression model.
- Explain various problems that arise from applying the linear regression model to data, including multicollinearity, specification errors, heteroskedasticity, nonstationarity and autocorrelation.
Generic skills
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High level of development: written communication; collaborative learning; problem solving; team work; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; synthesis of data and other information; use of computer software.
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Moderate level of development: oral communication; evaluation of data and other information; accessing data and other information from a range of sources; receptiveness to alternative ideas.
Last updated: 11 April 2024
Eligibility and requirements
Prerequisites
One of the following:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECON10005 | Quantitative Methods 1 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST10010 | Data Analysis 1 | Semester 2 (On Campus - Parkville) |
12.5 |
MAST10011 | Experimental Design and Data Analysis |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
MAST20004 | Probability | Semester 1 (On Campus - Parkville) |
12.5 |
MAST20006 | Probability for Statistics | Semester 1 (On Campus - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
Students may not gain credit for both ECOM20001 and
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM30001 | Basic Econometrics | Semester 1 (On Campus - Parkville) |
12.5 |
Recommended background knowledge
Please refer to Prerequisites and Corequisites.
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: 11 April 2024
Assessment
Additional details
- A 2-hour end-of-semester examination (65% or 75%)
- An optional mid-semester multiple choice test in week 5 (0% or 10%)
- Assignment 1 (10%) due week 8: 10 pages A4
- Assignment 2 (10%) due week 12: 10 pages A4
- Tutorial attendance and participation (5%)
- The final mark will be calculated by weighting the end-of-semester exam at 65% and the mid-semester test at 10% OR by weighting the end-of-semester exam at 75% and the mid-semester test at 0%, whichever gives the higher mark.
- To pass this subject students must pass the end of semester examination.
Last updated: 11 April 2024
Dates & times
- Semester 1
Principal coordinator David Byrne Mode of delivery On Campus (Parkville) Contact hours Two 1-hour lectures and a 1-hour tutorial per week Total time commitment 170 hours Teaching period 26 February 2018 to 27 May 2018 Last self-enrol date 9 March 2018 Census date 31 March 2018 Last date to withdraw without fail 4 May 2018 Assessment period ends 22 June 2018 Semester 1 contact information
- Semester 2
Principal coordinator Nicolas Herault Coordinator Nicolas Salamanca Acosta Mode of delivery On Campus (Parkville) Contact hours Two 1-hour lectures and a 1-hour tutorial per week Total time commitment 170 hours Teaching period 23 July 2018 to 21 October 2018 Last self-enrol date 3 August 2018 Census date 31 August 2018 Last date to withdraw without fail 21 September 2018 Assessment period ends 16 November 2018 Semester 2 contact information
Time commitment details
170 hours
Last updated: 11 April 2024
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
- Related Handbook entries
This subject contributes to the following:
Type Name Major Economics Breadth Track Economics and Finance Breadth Track Quantitative Methods in Economics - Breadth options
This subject is available as breadth in the following courses:
- 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: 11 April 2024