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5 course outlines found
1
ECON 321
: Advanced Econometrics2025 Semester One (1253)
Development of the linear regression model, its basis, problems, applications and extensions: demand systems, time-series analysis including unit roots and co-integration, simulation and resampling methods including an exposure to practical computing classes.
Prerequisite: 15 points from ECON 221, STATS 201, 207, 208, 210, 225 and 15 points from ENGGEN 150, ENGSCI 111, MATHS 108, 130
2
ECON 321
: Advanced Econometrics2024 Semester One (1243)
Development of the linear regression model, its basis, problems, applications and extensions: demand systems, time-series analysis including unit roots and co-integration, simulation and resampling methods including an exposure to practical computing classes.
Prerequisite: 15 points from ECON 221, STATS 201, 207, 208, 210, 225 and 15 points from ENGGEN 150, ENGSCI 111, MATHS 108, 130
3
ECON 321
: Advanced Econometrics2023 Semester One (1233)
Development of the linear regression model, its basis, problems, applications and extensions: demand systems, time-series analysis including unit roots and co-integration, simulation and resampling methods including an exposure to practical computing classes.
Prerequisite: 15 points from ECON 221, STATS 201, 207, 208, 210, 225 and 15 points from ENGGEN 150, ENGSCI 111, MATHS 108, 130
4
ECON 321
: Advanced Econometrics2021 Semester Two (1215)
Development of the linear regression model, its basis, problems, applications and extensions: demand systems, time-series analysis including unit roots and co-integration, simulation and resampling methods including an exposure to practical computing classes.
Prerequisite: 15 points from ECON 221, STATS 201, 207, 208, 210, 225 and 15 points from ENGGEN 150, ENGSCI 111, MATHS 108, 130, 150, 153
5
ECON 321
: Advanced Econometrics2020 Semester Two (1205)
Development of the linear regression model, its basis, problems, applications and extensions: demand systems, time-series analysis including unit roots and co-integration, simulation and resampling methods including an exposure to practical computing classes.
Prerequisite: 15 points from ECON 221, STATS 201, 207, 208, 210, 225 and 15 points from ENGGEN 150, ENGSCI 111, MATHS 108, 130, 150, 153