BEX2410 Introductory econometrics
Faculty of Business and Economics
BEX2410 Introductory econometrics is a level 2, 0-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 1 and Semester 2 at Clayton. It has no prerequisites.
- Credit points
- 0
- Offered in 2020
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 60%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2023 entry.
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Requisites
Before BEX2410
Prohibitions
You can't enrol if you have passed any of these.
After BEX2410
No unit lists BEX2410 as a prerequisite in the 2020 handbook.
Enrolment rules
Students must be enrolled in course 0029 or 3194.
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 2020
| 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
- 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.
Contacts
- Chief Examiners
- Professor Farshid Vahid-Araghi
- Mr John Stapleton
Common questions
What are the prerequisites for BEX2410?
BEX2410 has no prerequisites, but enrolment rules apply.
When is BEX2410 offered?
In 2020, BEX2410 runs in Semester 1 and Semester 2 at Clayton.
How much work is BEX2410?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does BEX2410 have an exam?
Yes. The exam is worth 60% of the final mark, alongside 1 other task.