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Unit of study_
ECMT2950: Intermediate Econometrics - Advanced
2022 unit information
This unit provides a thorough introduction to the econometrics of cross-section and panel data. We begin with a detailed discussion of the assumptions and statistical properties of the multiple linear regression model. We explore the econometric methods available when these assumptions do not hold. More specifically, we cover linear probability models, heteroscedasticity and GLS, omitted variable bias, measurement error, instrumental variables, quantile regression and models for pooled cross-section and panel data well-suited to policy analysis and the estimation of treatment effects. Throughout, we discuss economic applications and utilise practical computer applications where appropriate.
Unit details and rules
Managing faculty or University school:
Arts and Social Sciences
| Study level | Undergraduate |
|---|---|
| Academic unit | Economics |
| Credit points | 6 |
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Prerequisites:
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(A minimum of 65% in (ECMT1010 or MATH1905 or MATH1005 or MATH1015 or DATA1001 or DATA1901 or ENVX1002)) and (a minimum of 65% in (ECMT1020 or MATH1002 or MATH1902 or DATA1002 or DATA1903)) or (a minimum of 65% in BUSS1020) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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ECMT2110 or ECMT2150 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Describe and explain the assumptions and statistical properties of the linear regression model and understand when these assumptions may not hold
- LO2. Implement a variety of econometric tools for causal inference
- LO3. Identify appropriate econometric techniques to implement when key assumptions for the linear regression model do not hold
- LO4. Conduct and critically evaluate hypothesis testing
- LO5. Demonstrate an understanding of and critically evaluate applied economic research
- LO6. Use econometric software for econometric modelling
Unit availability
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