ETC3440 Introductory econometrics
Faculty of Business and Economics
ETC3440 Introductory econometrics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics. It isn't offered in 2023. It needs FIT1006, ETC1000, SCI1020, ETF1100, STA1010, ETB1100, ETW1001 or ETX1100 and unlocks 26 units, leading on to 40 units in all.
- Credit points
- 6
- Offered in 2023
- Not offered
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2025 entry.
Reviews
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Requisites
Before ETC3440
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- FIT1006Business information analysisNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningRated 5.0 out of 5 from 1 review
- ETF1100Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETB1100Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
After ETC3440
26 units list ETC3440 as a prerequisite or corequisite.
- ETC3400Principles of econometricsNo reviews yet
- ETC3410Applied econometricsNo reviews yet
- ETC3450Applied time series econometricsNo reviews yet
- ETC3460Financial econometricsNo reviews yet
- ETC3550Applied forecastingNo reviews yet
- ETC3580Advanced statistical modellingNo reviews yet
- ETC5340Principles of econometricsNo reviews yet
- ETC5341Applied econometricsNo reviews yet
Show 18 more
- ETC5345Applied time series econometricsNo reviews yet
- ETC5346Financial econometricsNo reviews yet
- ETC5550Applied forecastingNo reviews yet
- ETC5580Advanced statistical modellingNo reviews yet
- ETF3200Applied econometricsNo reviews yet
- ETF3210Econometrics and statistics for energy and climateNo reviews yet
- ETF3231Business forecastingNo reviews yet
- ETF3300Quantitative methods for financial marketsNo reviews yet
- ETF3600Quantitative analysis of limited dependent variablesNo reviews yet
- ETF5231Business forecastingNo reviews yet
- ETF5320Applied econometricsNo reviews yet
- ETF5321Econometrics and statistics for energy and climateNo reviews yet
- ETF5330Quantitative methods for financial marketsNo reviews yet
- ETF5600Quantitative analysis of limited dependent variablesNo reviews yet
- ETW3420Time series forecasting: Principles and practiceNo reviews yet
- ETW3450Applied time series econometricsNo reviews yet
- ETW3481Econometric methods for financeNo reviews yet
- ETW3510Applied econometric methodsNo reviews yet
Enrolment rules
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 Higher level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Equivalent units
The same content under another code. Only one of them counts.
Overview
This unit introduces you to the empirical analysis of relationships between economic variables. The approach is based on linear regression theory, and emphasises 'hands on' data analysis. Topics studied will include properties of least squares estimators, hypothesis testing, the choice of appropriate functional form, the use of dummy variables, issues around modelling survey data and the problems of serial correlation, heteroscedasticity and multicollinearity.
Offerings in 2023
The 2023 handbook lists no offerings for ETC3440.
Assessment
- Within semester assessment40%
- Examination60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
understand and derive the properties of ordinary least squares in summation and matrix notation
- 2
interpret, evaluate and apply inferential methods to multiple linear regression
- 3
understand the use and implications of data scaling, functional form and dummy variables in regression modelling
- 4
identify the presence of heteroscedasticity, adjust OLS standard errors and perform feasible GLS in regression models
- 5
understand issues related to modelling with time-series data.
Workload and teaching
- Tutorials18 hours
- Lectures24 hours
- Teaching approachActive learning
- Teaching approachProblem-based learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Common questions
What are the prerequisites for ETC3440?
You need FIT1006, ETC1000, SCI1020, ETF1100, STA1010, ETB1100, ETW1001 or ETX1100 before you enrol. Enrolment rules also apply.
What can I take after ETC3440?
ETC3440 is a prerequisite or corequisite for 26 units, including ETC3400, ETC3410, ETC3450, ETC3460, ETC3550 and ETC3580. Those lead on to 40 units in all.
When is ETC3440 offered?
ETC3440 has no offerings listed in the 2023 handbook.
How much work is ETC3440?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC3440 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.