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UnitLevel 2Undergraduate

ETC2410 Introductory econometrics

Faculty of Business and Economics

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ETC2410 Introductory econometrics is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2023 in Semester 1 and Semester 2 at Clayton. It needs ETB1100, ETW1001, ETX1100, FIT1006, ETC1000, SCI1020, ETF1100 or STA1010 and unlocks 26 units, leading on to 40 units in all.

Credit points
6
Offered in 2023
Semester 1, Semester 2
Clayton
Assessment
Exam 60%
and 1 other task
Workload
144 hours
per semester

This is the 2023 handbook entry. See the 2027 entry.

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Requisites

Before ETC2410

Prohibitions

You can't enrol if you have passed any of these.

One of

Prerequisites

Pass these before you enrol.

One of

After ETC2410

26 units list ETC2410 as a prerequisite or corequisite.

Show 18 more

Enrolment rules

If students are enrolled in course B6001, B6003, B6014 or B6030, 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 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

Teaching periodCampusMode
First semesterClaytonOn campus
Second semesterClaytonOn campus

Assessment

  • Within semester assessment
    40%
  • Examination
    60%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    understand and derive the properties of ordinary least squares in summation and matrix notation

  2. 2

    interpret, evaluate and apply inferential methods to multiple linear regression

  3. 3

    understand the use and implications of data scaling, functional form and dummy variables in regression modelling

  4. 4

    identify the presence of heteroscedasticity, adjust OLS standard errors and perform feasible GLS in regression models

  5. 5

    understand issues related to modelling with time-series data.

Workload and teaching

  • Seminars24 hours
  • Lectures24 hours
  • Tutorials18 hours
  • Teaching approachActive 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.

Learning resources

Required resources

It is very important to have hands on practice to understand the concepts. The software that we use (EViews) is 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.

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.

Where it fits

ETC2410 is part of 9 areas of study in the 2023 handbook.

Contacts

Chief Examiners
Dr Didier Nibbering
Mr John Stapleton

Common questions

What are the prerequisites for ETC2410?

You need ETB1100, ETW1001, ETX1100, FIT1006, ETC1000, SCI1020, ETF1100 or STA1010 before you enrol. Enrolment rules also apply.

What can I take after ETC2410?

ETC2410 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 ETC2410 offered?

In 2023, 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; Finance; and Financial and insurance mathematics, and 1 other area of study.

More details

Credit points
6
Level
2
Study level
Undergraduate
Faculty
Faculty of Business and Economics
Organisational unit
Department of Econometrics and Business Statistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 4
Study abroad
Available
Handbook years
20202021202220232024202520262027