A scoping study of Geographically Weighted Regression (GWR) analysis of house price estimation: with applications to impacts of crime, ethnic/religious segregation and landlord portfolio optimisation

Dr Ellie Bates, University of Edinburgh and Professor Gwilym Pryce, University of Sheffield, Joe Frey, Northern Ireland Housing Executive and Dr John Boyle, Rettie and Co. This project explored new inter-disciplinary uses of Geographically Weighted Regression (GWR) in criminology, sociology, housing economics and real estate finance, developed in collaboration with the Northern Ireland Housing Executive and Rettie and Co. Ltd.

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Is the housing market blind to religion? A perceived substitutability approach to homophily and social integration

Abstract Housing markets are unlikely to be impervious to the preferences and prejudices associated with urban segregation. For example, two neighbourhoods with very different religious attributes are unlikely to be perceived as close substitutes by homebuyers that have a strong preference for neighbours of a particular religion. This paper offers a new framework for the conception and measurement of social

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How does immigration affect local house prices?

A complex picture One of the concerns raised in debates about immigration is the impact on house prices. The rising population caused by immigration is argued to push up prices as a result of increased demand. How much prices rise will depend on how quickly new construction responds to price changes, but a positive price effect is anticipated nonetheless. This

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The impact of immigration on local housing market for England and Wales

The focus of this research, carried out by doctoral student Cathy Zhu, is on the impact of immigration on local housing market for England and Wales. In particular, the effect on local level house prices is examined through various econometric techniques which are commonly used to infer causality. To help gauge immigration as a positive or negative force on house

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House price impacts of social and environmental (dis)amenities

House prices are a very useful tool for estimating the economic value of a particular social or environmental impact. By controlling variations in house quality and size it is possible to identify the effect proximity to a particular phenomenon has on house value, revealing people’s willingness to pay to avoid or access that phenomenon. We were particularly interested in estimating

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Sorting models and economic evaluation of social and environmental (Dis)Amenities

One of the main approaches in the literature for estimating the economic value of the reduction in crime or the improvement in school performance is to use differences in house price changes to compute the willingness to pay for these improvements. However, such improvements are likely to change the social mix of the affected neighbourhoods. Failure to take into account

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