Undergraduate - UnitETC2410 - Introductory econometrics

This unit entry is for students who completed this unit in 2013 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 3, 0.125 EFTSL

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Level	Undergraduate
Faculty	Faculty of Business and Economics
Organisational Unit	Department of Econometrics and Business Statistics
Offered	Clayton First semester 2013 (Day) Clayton Second semester 2013 (Day)
Coordinator(s)	Professor David Harris

Synopsis

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.

Outcomes

The learning goals associated with this unit are to:

understand and derive the properties of ordinary least squares in summation and matrix notation
interpret, evaluate and apply inferential methods to multiple linear regression
understand the use and implications of data scaling, functional form and dummy variables in regression modelling
identify the presence of heteroscedasticity, adjust OLS standard errors and perform feasible GLS in regression models
understand issues related to modelling with time-series data.

Assessment

Within semester assessment: 40%
Examination: 60%

Chief examiner(s)

Professor David Harris

Contact hours

4 hours per week

Prerequisites

ETC1000

Prohibitions

ETC2400, ETC3440, ECC2410