MAE306 - Applied Econometrics for Economics and Finance

Unit details

Note: You are seeing the 2021 view of this unit information. These details may no longer be current. [Go to the current version]
Year:

2021 unit information

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.

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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
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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