Note: This is an archived Handbook entry from 2011.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2011:Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: Three hours of classes per week plus three hours of seminars during the semester |
Total Time Commitment: Estimated total time commitment of 120 hours per semester
ECOM40006 Econometric Techniques / ECOM90013 Econometric Techniques
Study Period Commencement:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:|| ECOM40002 Bayesian Econometrics |
|Core Participation Requirements:||
For the purposes of considering requests for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements for this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/
|Subject Overview:||Basic tools and characteristics of Bayesian inference and the application of Bayesian inference to a number of econometric models are considered. The tools and characteristics will include joint, conditional and marginal probability distributions, prior, posterior and predictive distributions, Bayes theorem, representing uncertain information, and the estimation of moments and other integrals via Markov chain Monte Carlo techniques. The econometric models will include the traditional regression model, the seemingly unrelated regressions model, probit and tobit models and some time-series models.|
|Objectives:||On successful completion of this subject students should be able to: |
|Prescribed Texts:||You will be advised of prescribed texts by your lecturer.|
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On successful completion of this subject, students should have improved the following generic skills:
Students may not gain credit for both ECOM90010 Bayesian Econometrics and ECOM40002 Bayesian Econometrics.
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