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: C21 C31 O18 R12 R31 (search for similar items in EconPapers)
Date: 2010-02
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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https://mpra.ub.uni-muenchen.de/21113/1/MPRA_paper_21113.pdf original version (application/pdf)

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

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