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 2020
| Unit name | Forecasting for Economic Decision-Making |
|---|---|
| Unit code | BEA342 |
| Credit points | 12.5 |
| Faculty/School | College of Business & Economics Tasmanian School of Business and Economics |
| Discipline | Economics and Finance |
| Coordinator | |
| Level | Advanced |
| Available as student elective? | Yes |
| Breadth Unit? | No |
Availability
Note
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TNE Program units special approval requirements.
* 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).
Learning Outcomes
| LO1 | 1.0 Collect data appropriate to answer a research question or test a theory, relationship or hypothesis. Transform it into an appropriate form for econometric analysis. |
| 1.1 Select, specify and use appropriate data and linear econometric models. | |
| 1.2 Specify econometric models appropriate to answer a research question or test a theory, relationship or hypothesis given the data available. | |
| 1.3 Justify the choice of variables and econometric model used to answer a research question or test a theory, relationship or hypothesis | |
| LO2 | 2.0 Identify and evaluate the causes, consequences and remedies for violations of advanced linear and nonlinear regression model assumptions |
| 2.1 Demonstrate an understanding remedies for violations of advanced linear and nonlinear regression models, their model assumptions and limitations. | |
| 2.2 Identify and evaluate the causes, consequences and remedies for violations of advanced linear and nonlinear regression model assumptions | |
| LO3 | 3.0 Interpret and communicate advanced linear and nonlinear econometric models and results. |
| 3.1 Interpret the meaning of estimated advanced linear and nonlinear econometric models and econometric tests. | |
| 3.2 Make statistical inferences from advanced linear and nonlinear econometric results. | |
| 3.3 Critically evaluate econometric models, results and inferences, informed by current economic literature. | |
| 3.4 Formulate economic and financial policy from econometric results. |
Fees
Requisites
Prerequisites
N/A
Co-requisites
N/A
Mutual Exclusions
You cannot enrol in this unit as well as the following:
N/A
Teaching
| Teaching Pattern | Please see the unit outline for details. |
|---|---|
| Assessment | Assignment Project Part A (20%), Assignment Project Part B (20%), Assignment Project Part C (20%), Test (40%). |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | Please see the unit outline for details. |
|---|
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