units

ETW2410

Faculty of Business and Economics

Undergraduate - Unit

This unit entry is for students who completed this unit in 2014 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.

LevelUndergraduate
FacultyFaculty of Business and Economics
Organisational UnitDepartment of Econometrics and Business Statistics
OfferedMalaysia First semester 2014 (Day)
Malaysia Second semester 2014 (Day)
South Africa Second semester 2014 (Day)
Coordinator(s)Dr Phillip Edwards; Malaysia: Dr Santha Vaithilingam

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:

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

Assessment

Within semester assessment: 40%
Examination: 60%

Chief examiner(s)

Workload requirements

4 hours per week

Prerequisites

Prohibitions

ECC2410, ETC2410, ETC3440