EC5212 - Introductory Econometrics

Credit points:	03
Year:	2007
Student Contribution Band:	Band 2
Administered by:	Discipline of Economics

This subject provides an introduction to econometrics and statistical foundations. Examples from a wide variety of disciplines will be given. The main focus is on the classical linear regression model. Topics include Matrix approach to a single equation linear models and their estimation and hypothesis testing; problems of model specification; multicolinearity, heteroskedasticity and autocorrelation problems and their solutions approaches. Computer programs for regression analysis. Extensive use of SHAZAM and/or Eviews econometric package.

Learning Outcomes

• have a comprehensive knowledge of econometric theory and technique at the intermediate level;
• have a general understanding of the fundamental framework for the study of econometric theory and applications at the advanced level.

Graduate Qualities

• The ability to think critically, to analyse and evaluate claims, evidence and arguments;
• The ability to adapt knowledge to new situations;
• The ability to define and to solve problems in at least one discipline area;
• The ability to communicate effectively with a range of audiences;
• The ability to lead, manage and contribute effectively to teams;
• The ability to speak and write logically, clearly and creatively;
• The ability to calculate, produce, interpret and communicate numerical information;
• The ability to select and use appropriate IT tools;
• The ability to access and employ online technologies effectively;
• The ability to use and interpret different media;
• A coherent and disciplined body of skills, knowledge, values and professional ethics in at least one discipline area;
• The ability to use a variety of media and methods to retrieve, analyse, evaluate, organise and present information;
• The ability to reflect on and evaluate learning processes and products;
• The ability to learn independently and in a self-directed manner;
• A commitment to lifelong learning and intellectual development.

Prerequisites:	BU1010 or MA1401 or EC5203
Inadmissible Subject Combinations:	EC2101 or EC3413 or EC2413

Availabilities
Townsville, Internal, Study Period 2
Census Date 31-Aug-2007
Coord/Lect:	Dr Rabiul Beg.
Contact hours:	26 hours lectures 12 hours tutorials 12 hours workshops/Seminars - Workshops
Assessment:	end of semester exam (50%); quizzes or tests (30%); assignments (20%).

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.