Macroeconometrics

This subject is not offered in 2015.

Admission into BH-COM or BH-ARTS (Economics) and

None

Please refer to Prerequisites and Corequisites.

Students may not gain credit for both ECOM40003 Macroeconometrics and ECOM90007 Macroeconometrics.

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/

This subject provides an advanced discussion of the main techniques used in macroeconometric analysis. The topics covered in this course will be selected from the following broad areas: (1) Univariate analysis of stationary and non stationary series including ARIMA possesses, unobserved components models, business cycle turning point extraction, regime switching and time varying volatility. (2) Estimation of single equation models with a focus on Euler equations that emerge via optimisation. (3) Estimating multiple equation models including reduced form and structural VARs and factor models. In covering these topics the course will focus on developing the skills to undertake rigorous applied macroeconometric research. Particular attention will be paid to the issues that arise when the time series being studied is non-stationary. Successful completion of the course will require use of the computer language GAUSS.

Information not available.

A 2-hour final examination (40%) and class assignments totalling not more than 6000 words (60%).

You will be advised of prescribed texts by your lecturer.

This subject is not available as a breadth subject.

• High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; use of computer software; receptiveness to alternative ideas.

• Moderate level of development: oral communication; written communication; collaborative learning; team work; synthesis of data and other information; evaluation of data and other information; accessing data and other information from a range of sources.