Signup date: 27 Mar 2010 at 9:40pm
Last login: 27 Mar 2010 at 9:40pm
Post count: 8
Thanks for your input, Sneaks.
i'm considering Greater London boroughs that are next to each other so the distance to London is almost the same and so is land regulation so hopefully this is going to work out
I'll definitely take into account average earnings, types of houses.
I'm a bit concerned about the main explanatory variable: ratio of students/population: if one town doesnt have a university so almost no HE students ?, how can I put this into the regression?
Thanks for your reply, Dr Moobs (:D )
The main proposal of my essay is: house prices will be higher in the town with a university, ceteris paribus and I'm trying to quantify the impact on house prices. I'm going to work with average data
Your advice will definitely help in criticizing my hypothesis. Do you have any suggestion how to handle the regression so the results can be meaningful ?
Anyone has some advice, please drop by, I really appreciate your help :)
Hi,
I have currently working on a small project on property markets
I finalised my idea with my supervisor a while ago and now he's on holidays so I don't know where to turn to for some advice on my topic
So my essay is about the effect of the existence of university on house prices (uk)
My method of research is: compare two towns of similar areas, population, near each other ( preferably in the same county) in which one of them is with a university, the other one is without to see how prices change as a result of the number of students.
Surely, since there are more people in one town, the house prices are higher.
I want to include some variables in the regression ( change in house prices on ratio of students/population) which I can easily find the data for and I haven't got my head around: I have thought of employment, distance to work, regulation.
I found no previous paper on this kind of topic and hope if any of you can give some suggestions
Kind regards,
IB
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