Fixing the issue in assumption of OLS step by step or one by one
Recent newsHi, I want to raise the issue related to know whether your OLS is ok or not.
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Hi, from now on, I think to keep track of working in my PhD study, I want to keep it track here.
How to and what about my PhD study. So it will be like an Evernote of my PhD study. Its easier to access and can be tracked just with the hashtag #phdjourney
1. Finally, my professor's work has been published in MPRA; the link is https://mpra.ub.uni-muenchen.de/112963/. The title of this publication is Effectiveness and conduct of macroprudential policy in Indonesia in 2003-2020: Evidence from the structural VAR models.
2. There are two choices to go forward deeper on this topic; the first is to focus on the same methodology but different data, such as the Philippines, Malaysia, and Thailand. However, the issue with the data from such markets is the unavailability of quarterly GDP. Therefore, the quarterly GDP data can only be accessed from the OECD market and some markets like Korea or India.
3. The other journey that can take here is then going to banking level data, like the research from Wijayanti (2019). However, it will be new.
4. Since the journal that I also wrote and published in the Journal of Empirical Finance about Hodrick Prescott's boosted model is still waiting for review, I have a plan to make it public in MPRA.
5. The next thing to do is collect data from 4-7 markets or even ten countries, and check the situation and level of GDP. Also, make sure that the price puzzle from Luangaram paper can be answered within this new data.
6. The next meeting will be on 19th May 2022, to talk about the data on Korea.
7. Need to learn about the ARCH effect - what is it? and then how to reproduce it in Jmulti. (Estimate model -> Model checking -> residual analysis)
8. Be more careful in the literature review to always rephrase what other researchers found.
Hi, I want to raise the issue related to know whether your OLS is ok or not.
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