Eres : Digital Library : Works

Paper eres2012_254:
Building age as a factor affecting spatial autocorrelation in housing prices

id eres2012_254
authors Daniel Yet Fhang Lo
year 2012
title Building age as a factor affecting spatial autocorrelation in housing prices
source 19th Annual European Real Estate Society Conference in Edinburgh, Scotland
summary Real estate economists and practitioners have long been aware of the problems arising from spatial autocorrelation in housing prices in undertaking housing appraisal. To tackle them, various estimation methods and techniques such as spatial lag model and spatial error model are devised and tested empirically in order to enhance appraisal accuracy and consistency. Interestingly, the underlying factors affecting the formation of spatial autocorrelation have so far received little scholarly attention In this paper, we put forward a novel hypothesis that spatial autocorrelation in housing prices is a result of the price information search process undertaken by house traders: Spatial autocorrelation emerges when they infer prices of one housing unit from another; Moreover, we conjecture that building age, which is an indicator of the building’s re-development potential, serves as a factor attenuating spatial autocorrelation since traders rely less on price information of aged housing units, which are prone to be rebuilt, to establish current market values of other units. In other words, it is believed, and hypothesized, that spatial autocorrelation decreases as building age increases. We test the above hypothesis using geo-coded open market transaction data of Hong Kong. The results not only confirm the role building age played in the price discovery process in real estate, but also in the formation of spatial autocorrelation of housing prices.
series ERES:conference
type normal paper
email daniello_hk@yahoo.com.hk
discussion No discussions. Post discussion ...
ratings
session Parallel Session G8
last changed 2014/10/21 21:51
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