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Unit of study_
ECMT3160: Statistical Modelling
This unit provides an accessible foundation in the principles of probability and mathematical statistics that underlie econometric methodologies. Its objective is to develop a deeper understanding of econometric methodologies encountered in intermediate units of study. The unit starts with the notion of a simple random experiment and extends it to the notion of datagenerating process for observational data in econometrics. The core topics of this unit include distribution finding techniques, identification in parametric and semiparametric models, estimation theory, and hypothesis testing, Monte Carlo techniques and the bootstrap.
| Code | ECMT3160 |
|---|---|
| Academic unit | Economics |
| Credit points | 6 |
|
Prerequisites:
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ECMT2150 or ECMT2950 or ECMT2110 or ECMT2010 |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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ECMT3620 or ECMT3720 or ECMT3210 |
At the completion of this unit, you should be able to:
- LO1. understand basic ideas and methods of probability
- LO2. understand notions of statistical independence and conditioning
- LO3. understand counting methods and other combinatorics, and ways of using them.
- LO4. understand notions of random variable and probability distribution, and ways of using them.
- LO5. understand notions of random vectors and their distributions, weak law of large numbers, and central limit theorem, and their use in statistical approximation.
Unit outlines
Unit outlines will be available 1 week before the first day of teaching for the relevant session.
There are no unit outlines available online for the current year.
- Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2021 [Normal day] - Remote
- Semester 1, 2021 [Normal day] - Camperdown/Darlington, Sydney
- Semester 1, 2022 [Normal day] - Remote
- Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney
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