Overview
This unit will introduce you to the empirical analysis of relationships between economic variables. The approach is based on linear regression theory and emphasises applied analysis of cross-sectional and time series data.
Topics studied include properties of the least squares estimators, hypothesis testing, the choice of appropriate functional forms, model … For more content click the Read More button below.
Offerings
S1-01-MALAYSIA-ON-CAMPUS
S2-01-MALAYSIA-ON-CAMPUS
Requisites
Prerequisite
Prohibition
Contacts
Chief Examiner(s)
Nur Syazwani
Dr Nazirul Hazim
Learning outcomes
On successful completion of this unit, you should be able to:
1.
demonstrate the mechanism of Gauss Markov Theorem for Ordinary Least Square
2.
evaluate regression models using global cross-sectional data to propose economic solutions
3.
examine various Time Series model specifications in alignment with SDGs
4.
compute the rigorous prediction and forecasting output with statistics analytical software.
Teaching approach
Case-based teaching
Research activities
Active learning
Problem-based learning
Assessment
1 - Within semester assessment
Scheduled and non-scheduled teaching activities
Tutorials
Workload requirements
Workload
Learning resources
Required resources