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Principles of econometrics
ETC3400
Synopsis
This unit provides a formal treatment of the core principles underlying econometric and statistical analysis, with particular focus given to likelihood-based inference. Topics covered include the likelihood principle and maximum likelihood estimation; minimum variance unbiased estimation; maximum likelihood asymptotic distribution theory; likelihood-based hypothesis testing. The theoretical developments are supplemented by numerical results produced using computer simulation. Consideration is also given to the numerical optimisation techniques used to implement likelihood-based procedures in practice.
Sourced from the Monash Handbook 2026.
Quick facts
- Credit points
- 6
- Level
- 3
- Audience
- Undergraduate
- Type
- Coursework
- School
- Faculty of Business and Economics
- Faculty
- Department of Econometrics and Business Statistics
- Handbook year
- 2026
Prerequisites (6)
What it unlocks (7)
- Statistical theory and practiceETC4400
- MicroeconometricsETC4420
- Bayesian inference and data analysisETC4541
- Bayesian inference and data analysisETC5410
- MicroeconometricsETC5420
- MacroeconometricsETX4410
- MacroeconometricsETX5441
Offerings (1)
- Second semesterClayton · ON-CAMPUS
Listed in 7 areas of study
- EconomicsList 1 - Additional economics unit
- EconometricsCore units
- EconometricsLevel 3 econometrics units
- Financial and insurance mathematicsLevel 2 and 3 core units
- Mathematical economics and econometricsCore studies
- Mathematical foundations of econometricsCore units
- Mathematical statisticsAdditional elective units