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Paper eres2005_280:
Networks Theory for Real Estate Valuation

id eres2005_280
authors Pagourtzi, Elli and V. Assimakopoulos
year 2005
title Networks Theory for Real Estate Valuation
source Book of Abstracts: 2005 European Real Estate Society conference in association with the International Real Estate Society
summary Real Estate Valuation in urban area is a very difficult task that has absorbed the interest of many academics in the last years. Many qualitative and quantitative variables affect the value of an estate in urban areas. As a result multivariate models are more suitable in the appraisal process. One of the most common approaches is multiple linear regression technique that is always used as a benchmark in various studies. A very promising way of dealing uncertainty in real estate analysis and producing sufficient evaluations is Artificial Neural Networks (ANNs). The purpose of this study is to compare these two approaches using data from the Attica urban area in Greece.
series ERES:conference
type normal paper
discussion No discussions. Post discussion ...
session Session E2
last changed 2008/11/01 09:47
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