Econometric Techniques

Subject ECOM90013 (2015)

Note: This is an archived Handbook entry from 2015.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2015:

Semester 1, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 02-Mar-2015 to 31-May-2015
Assessment Period End 26-Jun-2015
Last date to Self-Enrol 13-Mar-2015
Census Date 31-Mar-2015
Last date to Withdraw without fail 08-May-2015


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: Four hours of lectures/seminars/tutorials per week (this includes 3 hours of lectures and a one hour tutorial).
Total Time Commitment:

Estimated total time commitment of 120 hours per semester

Prerequisites:

ECOM90002 Econometrics or equivalent.

Subject
Study Period Commencement:
Credit Points:
Semester 1
12.50
Corequisites:

None

Recommended Background Knowledge:

None

Non Allowed Subjects:

ECOM40006 Econometric Techniques

Subject
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/

Coordinator

Dr Yong Song

Contact

MBS @ Berkeley Street
Level 4, 198 Berkeley Street
Telephone: +61 3 8344 1670
Email: mbs-enquiries@unimelb.edu.au
Web: http://mbs.unimelb.edu.au/

Subject Overview:

Estimation and inference techniques for models involving a single equation and systems of equations are introduced. Normally topics include asymptotic theory, maximum likelihood estimation, classical testing procedures, generalised least squares estimation, seemingly unrelated regression models, stochastic regressors, instrumental variables, generalised method of moments, simultaneous equations models (including VARs) and model-selection procedures.

Learning Outcomes:


On successful completion of this subject students should be able to:

  • Investigate the characteristics of data that influence the choice of model and estimation technique for modelling and estimating economic relationships.
  • Apply suitable estimation techniques to a range of economic and econometric models, interpret the results from these models, and use the results for forecasting and policy analysis.
  • Describe the theory underlying inference techniques used in econometrics.

Assessment:
  • 2-hour examination, end of semester (70%);
  • Three 1000-word assignments all equally weighted (10%) due in weeks 5,9 and 12 (30%).
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
Generic Skills:

On successful completion of this subject, students should have improved the following generic skills:

  • Evaluation of ideas, views and evidence
  • Synthesis of ideas, views and evidence
  • Critical thinking
  • Application of theory to economic policy and business decision making
  • Accessing economic and other information
  • Summary and interpretation of information
  • Application of Windows software
  • Using and designing computer programs
  • Statistical reasoning
  • Problem solving skills
  • Collaborative learning and teamwork
  • Written communication

Notes:

Students may not gain credit for both ECOM90013 Econometric Techniques and ECOM40006 Econometric Techniques.

Related Course(s): Doctor of Philosophy - Business and Economics
Master of Commerce (Accounting)
Master of Commerce (Finance)
Master of Economics

Download PDF version.