Predicting the Geography of House Prices

Bernard Fingleton ()

MPRA Paper from University Library of Munich, Germany

Abstract: Prediction is difficult. In this paper we use panel data methods to make reasonably accurate short term ex-post predictions of house prices across 353 local authority areas in England. The issue of prediction over the longer term is also addressed, and a simple method that makes use of the dynamics embodied in New Economic geography theory is suggested as a possible way to approach the problem.

Keywords: new economic geography; real estate prices; spatial econometrics; panel data; prediction. (search for similar items in EconPapers)
JEL-codes: O18 R12 C31 C21 R31 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-geo and nep-ure
Date: 2010-02
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http://mpra.ub.uni-muenchen.de/21113/ original version (application/pdf)

Related works:
Working Paper: Predicting the Geography of House Prices (2010)
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Persistent link: http://EconPapers.repec.org/RePEc:pra:mprapa:21113

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