Quantitative Methods for Economic Analysis - 2017

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

Unit summary


  • Level of Study: Postgraduate
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: No
  • Duration: 13 weeks
  • Government loans available: FEE-HELP
  • Availability for 2017: Sess 2
  • Availability for 2018: Sess 2
  • Assessment: Assignment 1 - Linked CLOs: 5, 6 (20%) , Assignment 2 - Linked CLOs: 1, 2, 3 (30%) - Learn more

Unit provided by

2017 Fees
Domestic 3,000.00
International 3,250.00

Quantitative Methods for Economic Analysis will provide you with insights into the structure of an economy, how it operates, why economic problems occur and the reasons why policy makers make the decisions they make.

This unit is designed to provide you with the economic knowledge and skills necessary to make well-informed business and accounting decisions. It will also introduce you to various quantitative methods and techniques to facilitate these decision-making practices.

On successful completion of this unit you will be able to:

  1. CLO1: Demonstrate an understanding of the basic economic problems facing society while applying simple microeconomic theory to practical problems
  2. CLO2: Evaluate the major economic aggregates and determine how they are measured
  3. CLO3: Analyze and discuss the nature of business cycles
  4. CLO4: Identify the major economic problems that may or may not affect an economy and use appropriate economic tools to conduct analyses
  5. CLO5: Apply quantitative skills to real life problems and determine interrelationships between economic variables
  6. CLO6: Undertake estimation and hypothesis using your knowledge of probability theory and probability distributions, and interpret numerical and graphical outputs.
  • Assignment 1 — Linked CLOs: 5, 6 (20%)
  • Assignment 2 — Linked CLOs: 1, 2, 3 (30%)
  • Invigilated Exam — Linked CLOs: 1, 2, 3, 4, 5, 6 (50%)
For more information on invigilated exams see Exams and results

There are no prerequisites for this unit.

In order to enrol in this unit, you must be accepted into one of the following courses:

Please visit the course details page and read the Requirements tab for more information about eligibility.

This unit addresses the following topics.

1Organising and Presenting Data & Summarizing Numerical Data
2Basic and Discrete Probability
3Hypothesis Testing
5Time Series, Forecasting and Index Numbers
6Thinking like an Economist
7Market supply and Demand and Market Failure
8Macroeconomic measurements and Determinants of Aggregate Spending
9Macroeconomic Policy
10Production Costs
11Perfect competition, Monopoly and imperfect competition (Market Structure)

This unit is delivered using the following methods and materials:

Instructional Methods

  • Discussion Forum/Discussion Board
  • Online assignment submission
  • Podcasting/Lecture capture
  • Web links

Online materials

  • Online Assessment
  • Printable format materials

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.

Textbook information for this unit is currently being updated and will be available soon. Please check back regularly for updates. Alternatively, visit the The Co-op website and enter the unit details to search for available textbooks.

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