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ECON271 Introductory Econometrics

Updated: 09 December 2009
Credit Points 6
Offering
Responsible Campus Teaching Period Mode of Study Online Level
Armidale Semester 1 Off Campus C - Internet access required
Armidale Semester 1 On Campus C - Internet access required
Intensive School(s) None
Supervised Exam There is a UNE Supervised Examination held at the end of the teaching period in which you are enrolled.
Pre-requisites 24cp and QM161 or QM162 or QM262
Co-requisites None
Restrictions ECON371 or EMET260 or EMET360
Notes None
Combined Units ECON371 - Introductory Econometrics
Coordinator(s) Nam Hoang (nam.hoang@une.edu.au)
Unit Description

An applied unit dealing with the main single equation econometric methods and models used in marketing, economics and commerce. Topics covered include: the multiple linear regression model (with an introduction to the problems of heteroskedasticity, autocorrelation and multicollinearity), limited and qualitative dependent variable models (including the logit and probit models), and models for pooling time-series and cross-sectional data (including dummy variable models). Real-world examples are used to illustrate particular techniques. Problems and exercises are solved using the econometrics software package EViews. This unit comprises up to 39 lecture hours and up to 13 lab/workshop hours and there is a combination of lectures, workshops and practicals.
Prescribed Material
Mandatory 		Shrink Wrapped Package(s):

Note: Students are expected to purchase prescribed material

Principles of Econometrics 3E and Eviews Handbook
ISBN: 9780470818732
Carter Hill, R., John Wiley 2008
Note: Package includes: Carter Hill, R., Griffiths, W.E. and Judge, G.G., Principles of Econometrics, 3rd ed. (ISBN 9780471723608) and Carter Hill, R., Griffiths, W.E. and Lim, G.C., Using EViews: With e-views Computing Handbook (ISBN 9780471787112).
Text refers to: Semester 1 , On and Off Campus
Disclaimer Unit information may be subject to change prior to commencement of the teaching period.
Assessment
Title Exam Length Weight Mode No. Words
Assignment 1 10% On/Off Campus
Assessment Notes
Quantitative problems.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 and 4 GA: 1, 2, 3, 4, 5, 6, 7 and 8
Assignment 2 10% On/Off Campus
Assessment Notes
Quantitative problems.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 and 4 GA: 1, 2, 3, 4, 5, 6, 7 and 8
Assignment 3 10% On/Off Campus
Assessment Notes
Quantitative problems.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 and 4 GA: 1, 2, 3, 4, 5, 6, 7 and 8
Unit Test 10% On Campus
Assessment Notes
Mid-term test.
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 and 4 GA: 1, 2, 3, 4, 5, 6, 7 and 8
Final Examination 2 hrs 60% On Campus
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 and 4 GA: 1, 2, 3, 4, 5, 6, 7 and 8
Final Examination 2 hrs 70% Off Campus
Relates to Learning Outcomes (LO) and Graduate Attributes (GA)
LO: 1, 2, 3 and 4 GA: 1, 2, 3, 4, 5, 6, 7 and 8

Learning Outcomes (LO) Upon completion of this unit, students will be able to:
  1. demonstrate an understanding of the main econometric models used for analysing relationships between economic and business variables;
  2. demonstrate an understanding of the types of economic and business contexts in which each of these models can be applied;
  3. demonstrate an understanding of the role of computers in the estimation of econometric models; and
  4. demonstrate an understanding of the limitations and potential uses of econometrics in analysing real-world data.

Graduate Attributes (GA)
Attribute Taught Assessed Practised
1 Knowledge of a Discipline
 True True True
2 Communication Skills
 True True True
3 Global Perspectives
 True True
4 Information Literacy
 True True True
5 Life-Long Learning
 True True
6 Problem Solving
 True True True
7 Social Responsibility
 True True
8 Team Work
 True True
   

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