Hobart
Introduction
Summary %globals_context%
| 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 |
| Coordinator | %asset_metadata_unit.Coordinator% |
| Level | %asset_metadata_unit.Level% |
| Available as student elective? | %asset_metadata_unit.AvailableAsElective_value^empty:No% |
| Breadth Unit? | %asset_metadata_unit.IsBreadthUnit_value% |
Availability
Note
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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.
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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
BEA242
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%), Final Exam (40%). |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | Please see the unit outline for details. |
|---|
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