The aim of this course is to prepare students for IDEC8017 Econometric Techniques and other postgraduate courses in economics and econometrics. The course provides fundamental knowledge in probability theory, statistics, and econometric techniques, supplemented by software applications using Stata. As a preparatory course, classes will be designed to help students become familiar with the ANU teaching environment and the requirements of formal coursework. In-class exercises and discussions will be an important component of the course.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Analyse random variables and their probability distributions, including discrete and continuous distributions.
- Interpret and utilise measures of central tendency and dispersion to describe data variability.
- Formulate null and alternative hypotheses, select appropriate significance levels, and interpret p-values to draw valid conclusions.
- Construct regression models, choose appropriate predictor variables, and accurately interpret the coefficients.
- Perform regression analysis using software tools and analyse relationships between variables in real-world datasets.
Other Information
You will need to contact the Crawford School of Public Policy to request a permission code to enrol in this course.
Indicative Assessment
- Quiz (25) [LO 1,2]
- Problem set (25) [LO 1,2]
- Final exam (50) [LO 1,2,3,4,5]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
About 14 hours of class time. In addition, students are also expected to study about 20 hours of work outside class to complete the course.
Inherent Requirements
None.
Requisite and Incompatibility
You will need to contact the Crawford School of Public Policy to request a permission code to enrol in this course.
Prescribed Texts
None.
Preliminary Reading
Wooldridge, J.M. (2019) Introductory Econometrics: A Modern Approach, 7th Edition, Cengage.
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 34
- Unit value:
- 0 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 0.00 | 0.00000 |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
Summer Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| On Campus | ||||||
| 1454 | 14 Jan 2025 | 24 Jan 2025 | 24 Jan 2025 | 07 Mar 2025 | In Person | View |
| Online | ||||||
| 1455 | 14 Jan 2025 | 24 Jan 2025 | 24 Jan 2025 | 07 Mar 2025 | Online | View |
Winter Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| On Campus | ||||||
| 6163 | 16 Jun 2025 | 18 Jul 2025 | 18 Jul 2025 | 08 Aug 2025 | In Person | N/A |
| Online | ||||||
| 6496 | 16 Jun 2025 | 18 Jul 2025 | 18 Jul 2025 | 08 Aug 2025 | Online | N/A |