Undergraduate - UnitETC2410 - Introductory econometrics

This unit entry is for students who completed this unit in 2012 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.

print version

6 points, SCA Band 3, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

Level	Undergraduate
Faculty	Faculty of Business and Economics
Offered	Clayton First semester 2012 (Day) Clayton Second semester 2012 (Day)
Coordinator(s)	Professor Brett Inder, Dr Kathryn Cornwell, Mr Jason Ng

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 (2 hours): 60%

Chief examiner(s)

Dr Katy Cornwell

Contact hours

4 hours per week

Prerequisites

ETC1000

Prohibitions

ETC2400, ETC3440, ECC2410