Econometrics 2 (ECOM30002)

Undergraduate level 3Points: 12.5Dual-Delivery (Parkville)

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Overview

Availability
Semester 1 - Dual-Delivery
Semester 2 - Dual-Delivery
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Extensions of the multiple regression model are examined. Topics include causal and statistical interpretations of regression models, instrumental variables, panel data and time series regression models and relevant statistical theory.

Intended learning outcomes

On successful completion of this subject students should be able to:

  • Explain various problems of interpretation of causal estimates in regression and how the problems may be addressed using instrumental variables.
  • Apply least squares methods to estimation and inference for linear regression models with panel data.
  • Apply least squares to estimation, inference and interpretation for single and multiple equation models for stationary and non-stationary time series data.
  • Derive, simulate and interpret statistical properties of least squares estimators in these settings.

Generic skills

  • High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; evaluation of data and other information; use of computer software.
  • Moderate level of development: written communication; collaborative learning; team work; critical thinking; synthesis of data and other information.
  • Some level of development: accessing data and other information from a range of sources.

Last updated: 14 March 2025

Eligibility and requirements

Prerequisites

Students must meet one of the following prerequisite options:

Option 1

One of

Code Name Teaching period Credit Points
ECON20001 Intermediate Macroeconomics
Semester 2 (Dual-Delivery - Parkville)
 12.5
ECON20002 Intermediate Microeconomics
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
 12.5
FNCE10002 Principles of Finance
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Summer Term (Online)
 12.5

FNCE20001 Business Finance

AND

One of

Code Name Teaching period Credit Points
ECOM20001 Econometrics 1
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5
ECOM30001 Basic Econometrics
Semester 1 (Dual-Delivery - Parkville)
 12.5
MAST20005 Statistics
Summer Term (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
 12.5

Option 2

One of

Code Name Teaching period Credit Points
ECON20001 Intermediate Macroeconomics
Semester 2 (Dual-Delivery - Parkville)
 12.5
ECON20002 Intermediate Microeconomics
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
 12.5
FNCE10002 Principles of Finance
Semester 1 (Dual-Delivery - Parkville)
Semester 2 (Dual-Delivery - Parkville)
Summer Term (Online)
 12.5

FNCE20001 Business Finance

AND

Code Name Teaching period Credit Points
ECON20003 Quantitative Methods 2
Semester 1 (Dual-Delivery - Parkville)
Summer Term (Online)
Semester 2 (Dual-Delivery - Parkville)
 12.5

With a result of at least H2A

Option 3

Admission into the GD-ECO Graduate Diploma in Economics

OR

Admission into the MC-ECO Master of Economics

Corequisites

None

Non-allowed subjects

None

Inherent requirements (core participation requirements)

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home

Last updated: 14 March 2025

Assessment

DescriptionTimingPercentage

Assignment 1

  • 600 words
Week 47.5%

Assignment 2

  • 600 words
Week 67.5%

Assignment 3

  • 600 words
Week 97.5%

Assignment 4

  • 600 words
Week 127.5%

End-of-semester Examination

  • 3 hours
Hurdle requirement: Successful completion of this subject requires a pass (50%) in the final exam.		During the examination period70%

Additional details

Important online examination information: This examination is the equivalent of a 2-hour assessment; however, students are provided with 3-hours to accommodate the time that will be required for typesetting of mathematical expressions and the uploading of documents.

Last updated: 14 March 2025

Dates & times

  • Semester 1
    Principal coordinatorMatthew Greenwood-Nimmo
    Mode of deliveryDual-Delivery (Parkville)
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial/practice class per week
    Total time commitment170 hours
    Teaching period28 February 2022 to 29 May 2022
    Last self-enrol date11 March 2022
    Census date31 March 2022
    Last date to withdraw without fail 6 May 2022
    Assessment period ends24 June 2022

    Semester 1 contact information

    matthew.greenwood@unimelb.edu.au

  • Semester 2
    Principal coordinatorKevin Staub
    Mode of deliveryDual-Delivery (Parkville)
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial/practice class per week
    Total time commitment170 hours
    Teaching period25 July 2022 to 23 October 2022
    Last self-enrol date 5 August 2022
    Census date31 August 2022
    Last date to withdraw without fail23 September 2022
    Assessment period ends18 November 2022

Time commitment details

Estimated total time commitment of at least 170 hours.

Last updated: 14 March 2025

Further information

Last updated: 14 March 2025