Signup date: 07 Oct 2020 at 10:59pm
Last login: 26 Jul 2021 at 7:57pm
Post count: 3
Hi rewt and abababa, thanks for the advice. I think you're right that funding will be a big consideration. I am currently on a programme that is funded externally and the funding wouldn't be transferred to the new university (that's clear in the funder's guidelines). My potential new supervisor is still talking with his university about transfer options, but it might come down to a choice between full funding at old university vs no/lower funding at new university. That will be a tricky choice, as I still have 16-18 months left.
I am in need of some advice about transferring universities. I am currently completing my PhD at a Russell Group university. Toward the end of my first year, I began working with a professor at a very highly ranked university. As my PhD has progressed, I have moved toward their research area and become more isolated within my department, which does not specialise in that field. I raised these issues with my main supervisor recently, who was extremely understanding and proposed a couple of options. The first is to spend the remainder of my PhD at the other professor's university as a visiting student. The second is to look into transferring my registration to that professor's university and completing my PhD there.
The second option seems to make sense. If I am being primarily supervised by this professor for the remainder of my PhD, I would think that being awarded a PhD from their university is sensible. It would be a considerable step-up in terms of "prestige" and the perceived value of the degree. But I also worry that I am being given an inch and taking a mile, so to speak. I really like my current department and my supervisors have been nothing but supportive - it just isn't a good fit in terms of research environment. Would I be betraying their goodwill by pushing for a full transfer?
You are asking a causal question about the effect of an intervention. You need to think carefully about design. A simple before-and-after comparison is likely to pick up the effect of existing time trends. More pernicious, if the policy was implemented in response to a rising/falling trend in crime rates and there is a several year lag in the effect of the policy, you might end up getting the complete opposite answer (i.e. erroneously finding that the policy increased crime).
Difference-in-difference and synthetic controls are both common methods for estimating the effects of policies. The first uses similar/nearby counties which didn't implement the policy as a baseline for the existing trend in crime rates. The second constructs a counterfactual county also based on similar counties which didn't implement the policy.
I would strongly consider looking into those methods before worrying about your specific outcome measure.
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