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Introductory Econometrics (ECOM20001)

Undergraduate level 2Points: 12.5On Campus (Parkville)

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Overview

Year of offer2017
Subject levelUndergraduate Level 2
Subject codeECOM20001
Campus
Parkville
Availability
Semester 1
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

Topics include review of statistics; F and X 2 distributions; review of simple linear regression model; multiple linear regression model; hypothesis testing, forecasting, diagnostics with regression models (including heteroskedasticity, serial correlation and model specification). Examples drawn from economics, finance, accounting, marketing and management will be illustrated using EVIEWs.

Intended learning outcomes

  • Apply the least-squares method of estimation to the context of the simple linear regression model.
  • Apply the principles of the least-squares method of estimation and inference to the multiple linear regression model.
  • Apply EViews to estimate, test hypotheses and forecast in the context of the linear regression model.
  • Explain various problems that arise from applying the linear regression model to data, including multicollinearity, specification errors, heteroskedasticity, nonstationarity and autocorrelation.

Generic skills

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

  • Moderate level of development: oral communication; evaluation of data and other information; accessing data and other information from a range of sources; receptiveness to alternative ideas.

Eligibility and requirements

Prerequisites

One of the following:

Code Name Teaching period Credit Points
ECON10005 Quantitative Methods 1
Semester 1
Semester 2
12.5
MAST10010 Data Analysis 1
Semester 2
12.5
MAST10011 Experimental Design and Data Analysis
Semester 1
Semester 2
12.5

Corequisites

None

Non-allowed subjects

Students may not gain credit for both

Code Name Teaching period Credit Points
ECOM20001 Introductory Econometrics
Semester 1
Semester 2
12.5
and
Code Name Teaching period Credit Points
ECOM30001 Basic Econometrics
Semester 1
12.5
.

Recommended background knowledge

Please refer to Prerequisites and Corequisites.

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

Assessment

Description

  • A 2-hour end-of-semester examination (65% or 75%)
  • An optional mid-semester multiple choice test in week 5 (0% or 10%)
  • Assignment 1 (10%) due week 8: 10 pages A4
  • Assignment 2 (10%) due week 12: 10 pages A4
  • Tutorial attendance and participation (5%)
  • The final mark will be calculated by weighting the end-of-semester exam at 65% and the mid-semester test at 10% OR by weighting the end-of-semester exam at 75% and the mid-semester test at 0%, whichever gives the higher mark.
  • To pass this subject students must pass the end of semester examination.

Dates & times

  • Semester 1
    Principal coordinatorJoe Hirschberg
    Mode of deliveryOn Campus — Parkville
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial per week
    Total time commitment170 hours
    Teaching period27 February 2017 to 28 May 2017
    Last self-enrol date10 March 2017
    Census date31 March 2017
    Last date to withdraw without fail 5 May 2017
    Assessment period ends23 June 2017

    Semester 1 contact information

  • Semester 2
    Principal coordinatorJenny Lye
    Mode of deliveryOn Campus — Parkville
    Contact hoursTwo 1-hour lectures and a 1-hour tutorial per week
    Total time commitment170 hours
    Teaching period24 July 2017 to 22 October 2017
    Last self-enrol date 4 August 2017
    Census date31 August 2017
    Last date to withdraw without fail22 September 2017
    Assessment period ends17 November 2017

    Semester 2 contact information

Time commitment details

170 hours

Further information

Last updated: 16 June 2018