University Subjects

ETC4541: Bayesian Time Series Econometrics

ETC4541: Bayesian Time Series Econometrics

University
Monash University
Subject Link
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Subject Reviews

LifeisaConstantStruggle

2 years ago

Assessment

3x Assignments (39%) – Questions pertaining towards the lecture slides, alongside some coding and simulation tasks. Quite typical of an ordinary econometrics unit. Not too hard but not easy too.
2x Learning Diaries (6%) – Just a record of what you’ve learnt and some reflections, pretty easy task.
1x Final Exam (55%) – Exam was quite lengthy, found it hard to finish with good answers but I thought it wasn’t the hardest paper ever.
Comments
I think a lot of people might have read about Bayesian statistics, but are usually unclear on how to explain them. It’s not a crazy awesome statistical paradigm that everyone should follow (otherwise people would be disappointed) – but it’s quite useful nonetheless.
Bayesian statistical inference is different by
Lecturer(s)
Associate Professor Catherine Forbes – a lot of people don’t like her ETC2420 unit, which she doesn’t teach anymore. But I thought she was quite good in this unit, in terms of answering questions and providing support as well. Definitely way better than ETC2420.
Past Exams Available
Several
Rating
4 out of 5
Recorded Lectures
Yes, with screen capture
Textbook Recommendation
Introduction to Bayesian Econometrics – Greenberg – Gives a very brief overview of each item we discuss in the unit, but not very useful beyond that. There are also some non-time series econometrics stuff that we don’t go through, and it’s quite interesting to read especially when you do the unit alongside ETC4420 - Microeconometrics, which teaches the frequentist equivalent of some of the equivalent models.
Workload
2x 1.5 hour lectures per week
3x 2 hour tutorials the entire semester
Year & Semester Of Completion
S1 2021
Your Mark / Grade
93 HD

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