MAE306 - Applied Econometrics for Economics and Finance
Unit details
| Year: | 2020 unit information |
|---|---|
| Important Update: | Classes and seminars in Trimester 2, 2020 will be online. Last updated: 2 June 2020 |
| Enrolment modes: | Trimester 1: Burwood (Melbourne), Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Unit Chair: | Trimester 1: Debdulal Mallick |
| Prerequisite: | MAE256 |
| Corequisite: | Nil |
| Incompatible with: | Nil |
| Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
| Scheduled learning activities - campus: | 1 x 2 hour class, 1 x 1 hour seminar per week |
| Scheduled learning activities - cloud: | Online independent and collaborative learning activities including 3 scheduled online seminars |
Content
Econometrics represents the application of statistical methods to economic models. The same methods are also widely employed in accounting, finance, marketing and management, as well as in other social sciences including political science, history, psychology and sociology. The first part of the unit will build on the classical regression model and explore consequences of relaxing model assumptions. The second part of the unit will cover contemporary advanced econometric methods, including instrumental variables and panel data models. Econometric software will be employed to enhance the learning process.
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| These are the Learning Outcomes (ULOs) for the Unit | Deakin Graduate Learning Outcomes |
| ULO1 | Comprehend the desirable properties of ordinary least squares. | GLO1: Discipline-specific knowledge and capabilities |
| ULO2 | Understand when it is appropriate/inappropriate to use OLS. | GLO1: Discipline-specific knowledge and capabilities GLO2: Communication GLO4: Critical thinking GLO5: Problem solving |
| ULO3 | Assess the reliability of multiple regression results. | GLO1: Discipline-specific knowledge and capabilities GLO2: Communication GLO4: Critical thinking GLO5: Problem solving |
| ULO4 | Estimate time series and forecasting models. | GLO3: Digital literacy GLO4: Critical thinking GLO5: Problem solving GLO6: Self-management |
| ULO5 | Be able to understand and estimate instrumental variable models and comprehend results from these models. | GLO3: Digital literacy GLO4: Critical thinking GLO5: Problem solving GLO6: Self-management |
| ULO6 | Be able to estimate and interpret panel data models. | GLO3: Digital literacy GLO4: Critical thinking GLO5: Problem solving GLO6: Self-management |
These Unit Learning Outcomes are applicable for all teaching periods throughout the year
Assessment
| Assessment Description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
| Assessment 1: Problem Based Written Assignment (Individual) | 1,500 words | 20% | Information not yet available |
| Assessment 2: Problem Based Written Assignment (Individual) | 1,500 words | 20% | Week 10 |
| Examination | 2-hours | 60% | Exam period |
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement
Hurdle requirement: achieve at least 50% of the marks available on the examination
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: MAE306 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
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