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Econometrics of Markets and Competition (ECOM40007)
HonoursPoints: 12.5Dual-Delivery (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Overview
Availability | Semester 2 - Dual-Delivery |
---|---|
Fees | Look up fees |
This course teaches students how to build econometric models from economic theory to investigate how markets operate, and evaluate policy-relevant questions. Applications of econometric tools developed in this course will be highlighted in various fields of economics including industrial organisation, public economics, health, and others. Examples of topics covered include: firms' use of price discrimination as a profit-maximising strategy; measuring the welfare effects of mergers for antitrust analysis; identifying strategic interaction amongst governments and its impact on policy decisions; and quantifying moral hazard and adverse selection in health insurance markets. Basic topics in numerical analysis will also be covered, including optimisation, numerical integration, and numerical differentiation. The computer software used is MATLAB.
Intended learning outcomes
- Estimate structural econometric models and use counterfactual analysis to assess policy questions
- Understand basic identification challenges in estimating the parameters of economic models
- Learn basic programming skills and numerical methods
- Apply methods learned in the course to address policy questions for an industry
Generic skills
- High level of development: written communication; problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources; receptiveness to alternative ideas.
- Some level of development: collaborative learning; team work.
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECON40001 | Advanced Microeconomics | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
ECOM40006 | Econometrics 3 | Semester 1 (Dual-Delivery - Parkville) |
12.5 |
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECOM90017 | Econometrics of Markets and Competition | Semester 2 (Dual-Delivery - Parkville) |
12.5 |
Recommended background knowledge
Please refer to Prerequisites. Computer programming experience in MATLAB, C, Java or some other language is helpful, but not necessary.
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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Class assignment 1 in computer code
| Week 3 | 10% |
Class assignment 2 in computer code
| Week 5 | 10% |
Class assignment 3 in computer code
| Week 9 | 10% |
Class assignment 4 in computer code
| Week 12 | 10% |
End-of-semester exam
| During the examination period | 60% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Principal coordinator Aaron Barkley Mode of delivery Dual-Delivery (Parkville) Contact hours Seminars, or lectures and tutorials totalling three hours per week Total time commitment 170 hours Teaching period 25 July 2022 to 23 October 2022 Last self-enrol date 5 August 2022 Census date 31 August 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022 Semester 2 contact information
Time commitment details
170 Hours
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
You will be advised of prescribed texts by your lecturer.
Last updated: 31 January 2024