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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.
Study level | Undergraduate |
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Academic unit | Economics |
Credit points | 6 |
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:
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
Session | MoA ? | Location | Outline ? |
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Semester 1 2020
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2021
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2021
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Normal day | Remote |
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Semester 1 2022
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Normal day | Camperdown / Darlington, Sydney |
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Semester 1 2022
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Normal day | Remote |
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This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.