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Predicting the Geography of House Prices
Bernard Fingleton MPRA Paper from University Library of Munich, Germany
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
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Downloads: (external link) http://mpra.ub.uni-muenchen.de/21113/ original version (application/pdf)
Related works: Working Paper: Predicting the Geography of House Prices (2010) This item may be available elsewhere in EconPapers: Search for items with the same title.
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Persistent link: http://EconPapers.repec.org/RePEc:pra:mprapa:21113
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