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EC5212 - Introductory Econometrics

Credit points: 3
Year: 2012
Student Contribution Band: Band 3
Administered by: School of Business

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.
Assumed
Knowledge:
Introductory subjects in Economics and Statistics
Inadmissible
Subject
Combinations:
EC2101 or EC3413 or EC2413 and BX3022

Availabilities

Townsville, Study Period 2, Internal
Census Date 23-Aug-2012
Coord/Lect: Dr Rabiul Beg.
Workload expectations:
  • 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.