Search Course Outline
5 course outlines found
1
ECON 721
: Econometrics 12024 Semester One (1243)
Core econometrics including theory and applications. The development of the classical linear regression model and extensions to the most general case. Applications to types of linear models involving cross-section and time-series data, and simultaneous equation models. The method of maximum likelihood, other extrema estimators and associated methods of testing.
No pre-requisites or restrictions
2
ECON 721
: Econometrics 12023 Semester One (1233)
Core econometrics including theory and applications. The development of the classical linear regression model and extensions to the most general case. Applications to types of linear models involving cross-section and time-series data, and simultaneous equation models. The method of maximum likelihood, other extrema estimators and associated methods of testing.
No pre-requisites or restrictions
3
ECON 721
: Econometrics 12022 Semester One (1223)
Core econometrics including theory and applications. The development of the classical linear regression model and extensions to the most general case. Applications to types of linear models involving cross-section and time-series data, and simultaneous equation models. The method of maximum likelihood, other extrema estimators and associated methods of testing.
No pre-requisites or restrictions
4
ECON 721
: Econometrics 12021 Semester One (1213)
Core econometrics including theory and applications. The development of the classical linear regression model and extensions to the most general case. Applications to types of linear models involving cross-section and time-series data, and simultaneous equation models. The method of maximum likelihood, other extrema estimators and associated methods of testing.
No pre-requisites or restrictions
5
ECON 721
: Econometrics 12020 Semester Two (1205)
Core econometrics including theory and applications. The development of the classical linear regression model and extensions to the most general case. Applications to types of linear models involving cross-section and time-series data, and simultaneous equation models. The method of maximum likelihood, other extrema estimators and associated methods of testing.
No pre-requisites or restrictions