Courses & Units

Econometrics BEA342

Hobart

Note:

Introduction

BEA342 Econometrics 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 Econometrics
Unit code BEA342
Credit points 12.5
Faculty/School College of Business & Economics
Tasmanian School of Business and Economics
Discipline Economics and Finance
Coordinator

Dr Vladimir Volkov

Teaching staff

Level Advanced
Available as student elective? Yes
Breadth Unit? No

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

Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Special approval is required for enrolment into TNE Program units.

TNE Program units special approval requirements.

Key Dates

Study Period Start date Census date WW date End date
Semester 2 13/7/2020 10/8/2020 31/8/2020 18/10/2020

* 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 2020 are indicative and subject to change. Finalised census dates for 2020 will be available from the 1st October 2020.

About Census Dates

Learning Outcomes

  • LO1: Collect data appropriate to answer a research question or test a theory, relationship or hypothesis. Transform it into an appropriate form for econometric analysis.
  • LO2: Specify econometric models appropriate to answer a research question or test a theory, relationship or hypothesis given the data available.
  • LO3: Justify the choice of variables and econometric model used to answer a research question or test a theory, relationship or hypothesis.
  • LO4: Identify and evaluate the causes, consequences and remedies for violations of advanced linear and nonlinear regression model assumptions.
  • LO5: Demonstrate an understanding remedies for violations of advanced linear and nonlinear regression models, their model assumptions and limitations.
  • LO6: Identify and evaluate the causes, consequences and remedies for violations of advanced linear and nonlinear regression model assumptions.
  • LO7: Interpret the meaning of estimated and communicate advanced linear and nonlinear econometric models and econometric test results.
  • LO8: Interpret and communicate advanced linear and nonlinear econometric models and results.
  • LO9: Make statistical inferences from advanced linear and nonlinear econometric results.
  • LO10: Critically evaluate econometric models, results and inferences, informed by current economic literature.
  • LO11: Formulate economic and financial policy from econometric results.

Fees

Domestic

Band CSP Student Contribution Full Fee Paying (domestic) Field of Education
3 2020: $1,394.00 2020: $2,354.00 091903

Fees for next year will be published in October. The fees above only apply for the year shown.

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

Requisites

Prerequisites

BEA242

Teaching

Teaching Pattern

1 x 2 hour lecture, 1 x 1 hour workshop per week. Please check the unit outline for details.

Assessment

Assignment Project Part A (20%), Assignment Project Part B (20%), Assignment Project Part C (20%), Final exam (40%).

TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

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

In addition to the texts/software recommended above, you are also expected to be familiar with the key academic journals in the discipline from which useful insights may be derived. In particular, you are encouraged to review regularly the relevant papers that are published in:

The University reserves the right to amend or remove courses and unit availabilities, as appropriate.