23572 Applied Microeconometrics
Warning: The information on this page is indicative. The subject outline for a particular semester, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.
UTS: Business: EconomicsCredit points: 6 cp
Subject level:
Undergraduate
Result type: Grade and marksRequisite(s): 23571 Introductory Econometrics OR 25571 Introductory Econometrics
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Anti-requisite(s): 25572 Applied Microeconometrics
Handbook description
Applied Microeconometrics equips students with a general knowledge of model building, which stands them in good stead for basic empirical work in business environments. It provides students with the analytic tools required for further study in cross sectional econometrics. The approach to modelling, and the reasoning about multi-variable empirical relationships, strengthens students' analytic skills.
Subject objectives/outcomes
On successful completion of this subject students should be able to:
- estimate and evaluate panel data models
- estimate and evaluate limited dependant variable models
- estimate econometric models using instrumental variable estimation.
Contribution to course aims and graduate attributes
This subject offers an understanding of the econometric tools that apply to microeconomic data, from an applied perspective. It will introduce specific cross-sectional and panel models and the techniques required to estimate and predict with the model. The subject will make use of an advanced econometrics package for the purpose of analysing data.
Content
• Pooling cross sections across time: Simple panel data methods
• Advanced panel data methods
• Instrumental variable estimation and two stage least squares
• Limited dependant variable models
• Empirical projects.
Assessment
Assessment Item 1: Assignment (Individual)
| Objective(s): | This addresses Subject Learning Objective/s: 1, 2, 3 |
| Weighting: | 25 |
Assessment Item 2: Assignment (Group)
| Objective(s): | This addresses Subject Learning Objective/s: 1, 2, 3 |
| Weighting: | 25 |
Assessment Item 3: Final Exam (Individual)
| Objective(s): | This addresses Subject Learning Objective/s: 1, 2, 3 |
| Weighting: | 50 |
Minimum requirements
Students must achieve at least 50% of the subject’s total marks.
