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2023 unit information
Must be enrolled in M820 Master of Research (Business) or M900 Doctor of Philosophy.
Nil.
Students will on average spend 150 hours over the trimester undertaking the teaching, learning and assessment activities for this unit.
1 x 3 hour seminar per week
This unit concentrates on developing analytical skills in the applications of econometric techniques. In this unit, students will explore a variety of topics in econometrics that include OLS, Limited Dependent Variable Models, Instrumental Variables and 2SLS, Difference in Differences and Panel Data Models as well as some introductory analysis of Time Series Models. Integral aspect of exploring each topic will be an empirical analysis using real data. Students will also learn programming in statistical software using programs such as STATA.
GLO1: Discipline-specific knowledge and capabilitiesGLO4: Critical thinking
ULO2
Communicate complex econometric ideas, theories and responses using appropriate visual tools.
GLO1: Discipline-specific knowledge and capabilitiesGLO2: Communication
ULO3
Generate and interpret results of econometric analysis using statistical software packages such as STATA.
GLO1: Discipline-specific knowledge and capabilities GLO3: Digital literacy GLO4: Critical thinking
ULO4
GLO1: Discipline-specific knowledge and capabilities GLO4: Critical thinking GLO5: Problem solving
These Unit Learning Outcomes are applicable for all teaching periods throughout the year.
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Hurdle requirement: Achieve at least 50% of the marks available on the end-of-unit assessment task to evidence a minimum proficiency in the aligned discipline learning outcomes included in this unit.
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.
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