Courses & Units

Forecasting for Economic Decision-Making BEA342

Hobart

Introduction

BEA342 provides the techniques required to quantify the magnitude, strength and form of relationships between variables, and the strategies that need to be employed to use these techniques effectively. More specifically, it examines the theory and use of the Classical Linear Regression Model (CLRM) and intermediate level econometric models, such as IV, Logit, Panel, ARIMA and Non-linear models. The unit provides students with the econometric theories to be able to obtain answers from data using the latest econometrics software.
The unit teaches econometric techniques to re-examine the CLRM learnt in BEA242 Introduction to Econometrics. The unit demonstrates how to test violations of its assumptions, their consequences and how to remedy them. It then provides students with the knowledge of how to use a range of econometric models for the analysis of cross-section and time-series data, and the ability to obtain answers to research policy questions in economics and finance. A working knowledge of the unit is essential for those students intending to work as professional economists, financial analysts and business analysts.
BEA342 is an advanced unit, and is both theoretical and applied in nature. Consequently, an empirical project where the student needs to demonstrate competence in carrying out a piece of applied econometric work will constitute 60% of the overall assessment of the unit.

Summary

Unit name Forecasting for Economic Decision-Making
Unit code BEA342
Credit points 12.5
College/School College of Business & Economics
Tasmanian School of Business and Economics
Discipline Economics
Coordinator Doctor Paul Blacklow
Available as student elective? No
Delivered By University of Tasmania
Level Advanced

Availability

Location Study period Attendance options Available to
Hobart Semester 2 On-Campus Off-Campus International International Domestic Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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Key Dates

Study Period Start date Census date WW date End date
Semester 2 11/7/2022 9/8/2022 29/8/2022 16/10/2022

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.

About Census Dates

Learning Outcomes

  • Demonstrate an understanding of concepts in forecasting and how forecasting is used in economics and business.
  • Select data and apply appropriate methods to forecast economic and business variables
  • Evaluate forecasting models in the context of their economic or business application and statistical properties.
  • Use statistical software, interpret output from statistical software and effectively communicate results.
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
091903 $1,828.00 $1,432.00 not applicable $2,354.00
  • Available as a Commonwealth Supported Place
  • HECS-HELP is available on this unit, depending on your eligibility3
  • FEE-HELP is available on this unit, depending on your eligibility4

1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for eligibility for FEE-HELP

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to this page to get an indicative course cost.

Teaching

AssessmentTest or quiz (25%)|Project (15%)|Project (30%)|Project (30%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

You will need the following text:

Carter Hill, R, Griffiths William E., and GC Lim, 2008, Principles of Econometrics, 3rd Edition, Wiley, ISBN  9780471723608.

It is available to purchase from the Co-op Bookshop or www.coop-bookshop.com.au. If you have the fourth or fifth edition of this textbook it will be a very good substitute.

 

The prescribed software is

EViews 10 Standard - Student Version

It is available in the TEAL and Library computer labs.

Recommended

The lecture notes, prescribed text and recommended readings should be sufficient.  However, you may wish to read other texts to receive a different approach to a topic.  Some of the following texts are, more advanced than the prescribed text while others are less advanced.  For example Guajarati and Griffiths et. al.’s undergraduate book have chapters on some of the topics that we will be covering this year, but they are normally explained using summation notation and not matrix algebra as used in BEA342.  In addition, we will cover some aspects of the topics in more detail than these texts. 

Greene, W.H., Econometric Analysis, Fifth Edition, Prentice Hall, 2003. (Comprehensive and Very Detailed)

Griffiths, W. E., Hill, C. R.,  and Judge, G. G. Undergraduate Econometrics, John Wiley & Sons, 2nd Ed, 2001. (Similar to Gujariti, does not use matrix algebra)

Griffiths, W. E., Hill, C. R.,  and Judge, G. G. Learning and Practicing Econometrics, John Wiley & Sons, 1993. (Similar to Vogelvang, a little more detail, contains matrix algebra)

Johnston, J. and Dinardo, J., Econometric Methods, Fourth Edition, McGraw Hill, 1997. (Similar to Vogelvang, contains matrix algebra)

Judge, G.G., Hill, C.R., Griffiths, W.E., Lutkepohl, H. and Lee, T.C., Introduction to the Theory and Practice of Econometrics, John Wiley, Second Edition, 1988. (Similar to Vogelvang, a little more detail, contains matrix algebra)

Judge, G.G., Hill, C.R., Griffiths, W.E., Lutkepohl, H. and Lee, T.C., The Theory and Practice of Econometrics, John Wiley, Second Edition, 1985. (Similar to Vogelvang, a little more detail, contains matrix algebra)

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