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In this unit we unpack the interpretation of data analysis methods to appropriately measure treatment effects in observational data, gather a deep understanding of bias, distinguish correlations from causations, and critically answer questions of interest to business, policymakers, and researchers. Emphasis will be placed on interpretation of regression estimates, understanding the assumptions required to allow inferences to be causal, and learning a toolkit of methods for causal interpretation using observational data. Students will use statistical software to implement these methods and craft a comprehensive policy evaluation for the private or public sector.
| Study level | Postgraduate |
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| Academic unit | Economics |
| Credit points | 6 |
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Prerequisites:
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ODAT5021 |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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Strong statistical knowledge and coding experience (e.g., successful completion of ODAT5011, ODAT5021 and ODAT5022) |
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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PG Online Session 2B 2025
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Online | Online Program |
View
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| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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PG Online Session 2B 2026
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Online | Online Program |
Outline unavailable
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