MAE306 - Applied Econometrics for Economics and Finance
Unit details
Year: | 2021 unit information |
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Important Update: | Unit delivery will continue to be provided in line with the most current COVIDSafe health guidelines. This may include a mix of on-campus and online activities. To find out how you are impacted, please check your unit sites for announcements and updates. Unit sites open one week prior to the start of each Trimester/Semester. Thank you for your flexibility and commitment to studying with Deakin in 2021. Last updated: 4 June 2021 |
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, time series and panel data models. Econometric software will be employed to enhance the learning process.
ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
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ULO1 | Apply key statistical and econometric techniques such as Ordinary Least Squares, Instrumental Variable Regression, Time Series and Panel Data Analysis. | GLO1: Discipline-specific knowledge and capabilities |
ULO2 | Analyse and explain real world information using econometric techniques | GLO1: Discipline-specific knowledge and capabilities GLO4: Critical thinking |
ULO3 | Evaluate and synthesize data using econometric methods to examine the real world problems and recommended approach to address these | GLO1: Discipline-specific knowledge and capabilities GLO5: Problem solving |
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% | Week 5 |
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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