23572 Applied Microeconometrics
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particular session, location and mode of offering is the authoritative source
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Subject handbook information prior to 2016 is available in the Archives.
Credit 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
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
| 1. | interpret micro-econometric analysis correctly |
|---|---|
| 2. | estimate and evaluate panel data models |
| 3. | understand other micro-econometric models such as binary dependent variable models and instrumental variable estimation |
Contribution to the development of 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.
This subject contributes to the development of the following graduate attributes:
- Critical thinking, creativity and analytical skills
- Communication and interpersonal skills
This subject also contributes specifically to develop the following Program Learning Objectives:
- 3.1: Produce high quality written texts that clearly articulate the application and justification of economic concepts and frameworks to particular problems to propose insightful solutions
- 3.3: Undertake a team based project to solve a complex economic problem
Teaching and learning strategies
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, theoretical backgrounds necessary to interpret micro-econometric analysis, and 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
- Difference-in-difference estimator
- Advanced panel data methods
- Instrumental variable estimation and two stage least squares
- Binary dependent variable models
- Using statistical package
- Empirical projects
Assessment
Assessment task 1: Assignment (Individual)
| Objective(s): | This addresses subject learning objective(s): 1, 2 and 3 |
|---|---|
| Weight: | 25% |
Assessment task 2: Assignment (Individual)
| Objective(s): | This addresses subject learning objective(s): 1, 2 and 3 |
|---|---|
| Weight: | 25% |
Assessment task 3: Research Paper (Individual)
| Objective(s): | This addresses subject learning objective(s): 1, 2 and 3 |
|---|---|
| Weight: | 50% |
Minimum requirements
Students must achieve at least 50% of the subject’s total marks.
Required texts
Jeffrey M. Wolldridge, Introductory Econometrics: A Modern Approach, 5th Edition. You may pruchase eChapters from the publisher at http://www.cengage.com. Note: Many of in-class computer exercises and assignment problems are from the textbook.
Recommended texts
A. Colin Cameron and Pravin K. Trivedi, Microeconometrics Using Stata, STATA Press.
Other resources
The Business School's "Guide to Writing Assignments": https://www.uts.edu.au/current-students/business/study-and-assessment-resources/developing-your-academic-writing
