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Unit of study_
ECON4914: Microeconometric Modelling
This unit concentrates on mainstream models and estimation and inference methods that are widely used in most empirical investigations in applied microeconomics. The unit has a topics-based structure, and theory and applications are closely integrated. Examples of topics include parametric and semi-parametric estimation methods applied to cross-section and panel data; treatment evaluation; models of cross-sectional dependence; quantile and mixture regressions; density estimation; Bayesian regression analysis.
| Code | ECON4914 |
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| Academic unit | Economics |
| Credit points | 6 |
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Prerequisites:
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None |
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Corequisites:
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None |
| Prohibitions:
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None |
At the completion of this unit, you should be able to:
- LO1. utilise methods to produce, validate and interpret simple and multiple regression models
- LO2. calculate and understand the statistical significance of regression models
- LO3. carefully define statistical models
- LO4. identify and apply extensions to the regression model which address special features of different data structures, and the testing of inequality restrictions on the regression coefficients
- LO5. achieve fluency with methods like properties of least squares estimators, hypothesis testing, instrumental variables, and discrete choice models.
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
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