ETC2410 Introductory econometrics
Faculty of Business and Economics
ETC2410 Introductory econometrics is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2021 in Semester 1 and Semester 2 at Clayton. It needs ETB1100, ETX1100, ETF1100, STA1010, ETW1001, FIT1006, ETC1000 or SCI1020 and unlocks 22 units, leading on to 34 units in all.
- Credit points
- 6
- Offered in 2021
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2021 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETC2410
Prerequisites
Pass these before you enrol.
- ETB1100Business statisticsNo reviews yet
- ETX1100Business statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETC2410
22 units list ETC2410 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 14 more
- ETC5345Applied time series econometricsNo reviews yet
- ETC5346Financial econometricsNo reviews yet
- ETF3200Applied econometricsNo 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
- ETF5330Quantitative methods for financial marketsNo reviews yet
- ETF5600Quantitative analysis of limited dependent variablesNo reviews yet
- ETW3420Principles of forecasting and applicationsNo reviews yet
- ETW3450Applied time series econometricsNo reviews yet
- ETW3481Econometric methods for financeNo reviews yet
- ETW3510Applied econometric methodsNo reviews yet
Enrolment rules
If students are enrolled in course B6001, B6003 or B6014, there is no prerequisite.
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 students 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 2021
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| Second semester | Clayton | On campus |
Assessment
- Within semester assessment40%
- ExaminationThreshold hurdle60%
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
- Laboratories18 hours
- Lectures24 hours
- Teaching approachPeer assisted 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.
Learning resources
Required resources
It is very important to have hands on practice to understand the concepts. The software that we use (EViews) is on all machines in the BusEco computer labs (first floor of the Menzies building) and is also available via the Monash virtual environment (MoVE). The instructions on how to use the MoVE will be provided in the first tutorial in the first week. EViews is also used in Time Series ETC3450 and Financial Econometrics ETC3460, and is used by many financial and government institutions. If you are proficient in any other statistical software (e.g. SAS, SPSS, STATA, R), you can use that instead, but then you should not expect the teaching team to answer your software related questions.
Where it fits
ETC2410 is part of 10 areas of study in the 2021 handbook.
- ACTRLSTD02Core unitsActuarial studiesNo reviews yet
- ACTRLSTD06Additional actuarial studies unitsActuarial studiesNo reviews yet
- BUSANLMJ01Additional business analytics unitsBusiness analyticsNo reviews yet
- BUSANLYT05Additional business analytics unitsBusiness analyticsNo reviews yet
- ECONOMTR02Core unitsEconometricsNo reviews yet
- ECONOMTR05A. Core unitsEconometricsNo reviews yet
- ECONOMIC05Elective unitEconomicsNo reviews yet
- FINANCE05Core unitsFinanceNo reviews yet
- FININMAT03Financial and insurance mathematics elective unitsFinancial and insurance mathematicsNo reviews yet
- MTHFNDEC01Core unitsMathematical foundations of econometricsNo reviews yet
Contacts
- Chief Examiners
- Professor Farshid Vahid-Araghi
- Mr John Stapleton
Common questions
What are the prerequisites for ETC2410?
You need ETB1100, ETX1100, ETF1100, STA1010, ETW1001, FIT1006, ETC1000 or SCI1020 before you enrol. Enrolment rules also apply.
What can I take after ETC2410?
ETC2410 is a prerequisite or corequisite for 22 units, including ETC3400, ETC3410, ETC3450, ETC3460, ETC3550 and ETC3580. Those lead on to 34 units in all.
When is ETC2410 offered?
In 2021, ETC2410 runs in Semester 1 and Semester 2 at Clayton.
How much work is ETC2410?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC2410 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.
Which majors and minors include ETC2410?
ETC2410 is part of Actuarial studies, Business analytics, Econometrics, Economics and Finance, and 2 other areas of study.