Econometrics (ECOM90002)

Graduate courseworkPoints: 12.5On Campus (Parkville)

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Overview

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Semester 1
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Extensions of the multiple regression model are examined. Topics include non-linear least squares, maximum likelihood estimation and related testing procedures, generalised least squares, heteroskedasticity, autocorrelation and models with stochastic regressors. Limited dependent variable and panel data models and issues involving time-series data are introduced. Theoretical concepts are illustrated by applied examples.

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: written communication; statistical reasoning; application of theory to practice; interpretation and analysis; critical thinking; synthesis of data and other information; evaluation of data and other information.

  • Moderate level of development: problem solving; use of computer software; receptiveness to alternative ideas.

  • Some level of development: oral communication; accessing data and other information from a range of sources.

Last updated: 3 November 2022

Eligibility and requirements

Prerequisites

Entry into the Master of Applied Econometrics or one of the following: 

Code Name Teaching period Credit Points
ECOM20001 Econometrics 1
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
ECOM30001 Basic Econometrics
Semester 1 (On Campus - Parkville)
 12.5
ECOM90001 Basic Econometrics
Semester 1 (On Campus - Parkville)
 12.5
MAST20005 Statistics
Semester 2 (On Campus - Parkville)
 12.5

or a grade of H2A or above in

Code Name Teaching period Credit Points
ECON20003 Quantitative Methods 2
Semester 1 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5

AND one of:

Code Name Teaching period Credit Points
ECON20001 Intermediate Macroeconomics
Semester 2 (On Campus - Parkville)
 12.5
ECON20002 Intermediate Microeconomics
Semester 1 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
 12.5
FNCE20001 Business Finance
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
FNCE10002 Principles of Finance
Summer Term (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
 12.5
ECON90047 Macroeconomics 2
Semester 1 (On Campus - Parkville)
 12.5
ECON90045 Microeconomics 2
Semester 2 (On Campus - Parkville)
 12.5

Corequisites

None

Non-allowed subjects

Code Name Teaching period Credit Points
ECOM30002 Econometrics 2
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
 12.5
 

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: 3 November 2022

Assessment

Additional details

  • 2 hour end of semester examination (70%)
  • Assignment 1, 600 words, due week 4 (7.5%)
  • Assignment 2, 600 words, due week 6 (7.5%)
  • Assignment 3, 600 words, due week 9 (7.5%)
  • Assignment 4, 600 words, due week 12 (7.5%)

Note: Successful completion of this subject requires a pass (50%) in the final exam.

Last updated: 3 November 2022

Dates & times

  • Semester 1
    Principal coordinatorDavid Harris
    Mode of deliveryOn Campus (Parkville)
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial/practice class per week
    Total time commitment170 hours
    Teaching period26 February 2018 to 27 May 2018
    Last self-enrol date 9 March 2018
    Census date31 March 2018
    Last date to withdraw without fail 4 May 2018
    Assessment period ends22 June 2018

    Semester 1 contact information

    Sem 1: Harris.D@unimelb.edu.au

    Sem 2: dmoreton@unimelb.edu.au

  • Semester 2
    Principal coordinatorDavid Moreton
    Mode of deliveryOn Campus (Parkville)
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial/practice class per week
    Total time commitment170 hours
    Teaching period23 July 2018 to 21 October 2018
    Last self-enrol date 3 August 2018
    Census date31 August 2018
    Last date to withdraw without fail21 September 2018
    Assessment period ends16 November 2018

    Semester 2 contact information

    Sem 1: Harris.D@unimelb.edu.au

    Sem 2: dmoreton@unimelb.edu.au

Time commitment details

An estimated total time commitment of at least 170 hours.

Last updated: 3 November 2022

Further information

Last updated: 3 November 2022