- Code IDEC6906
- Unit Value 0 units
- Offered by Crawford School of Public Policy
- ANU College ANU College of Asia and the Pacific
- Course subject International and Developmental Economics
- Academic career PGRD
- Dr Anthony Swan
- Mode of delivery In Person
Winter Session 2017
See Future Offerings
The aim of this course is to prepare students for the Econometric Techniques subject (IDEC8017) and other econometric related study or research in the IDEC Master of International and Development Economics Program. The course is designed to provide fundamental knowledge in probability theory, statistics and econometric techniques. There will also be two computer sessions on using the STATA software package. As a preparatory course, the class environment will be structured to help students become familiar with the ANU teaching environment, resources available to students, and requirements of formal coursework. In-class exercises are an important component of teaching in the course. Student participation in discussion of issues in econometrics and statistics, and study at ANU more broadly, is also highly encouraged.
Upon successful completion, students will have the knowledge and skills to:1. Have fundamental knowledge of probability theory and statistics required for studying econometrics.
2. Construct, test, and analyse simple econometric models, using variables and relationships commonly found in studies of economic theory.
3. Collect, organize, and analyze economic data, and interpret results from statistical analyses.
4. Identify the desirable properties of estimators.
5. Identify key classical assumptions in the field of econometrics, explain their significance, and describe the effects that violations of the classical assumptions can have.
6. Use the least squares method in evaluating the relationship of one explanatory variable to the dependent variable and the relationships of multiple explanatory variables to the dependent variable.
7. Interpret key statistics and diagnostics generated by the STATA software.
8. Have basic knowledge of the maximum likelihood estimation method and the binary dependent variable models.
Indicative AssessmentA range of formative and summative assessment tasks will be used to aid student learning. Feedback will be provided on all tasks. Completion of all tasks is required.
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WorkloadApproximately 30 hours class, with an equivalent number of hours in self study
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 TextsWooldridge, J.M. (2013). Introductory Econometrics: A Modern Approach, 5th edn, Cengage Learning.
Lecture notes, tutorial questions, class exercises and other necessary materials will be available either through Wattle or in class.
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 0 units
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Offerings, Dates and Class Summary Links
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|6637||01 Jul 2017||21 Jul 2017||21 Jul 2017||30 Sep 2017||In Person||N/A|