Predicting the geography of house prices

Bernard Fingleton ()

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: Prediction is difficult. In this paper we use panel data methods to make reasonably accurate shortterm 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.

JEL-codes: N0 (search for similar items in EconPapers)
Pages: 29 pages
Date: 2010-01
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://eprints.lse.ac.uk/33507/ Open access version. (application/pdf)

Related works:
Working Paper: Predicting the Geography of House Prices (2010)
Working Paper: Predicting the Geography of House Prices (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:33507

Access Statistics for this paper

More papers in LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library LSE Library Portugal Street London, WC2A 2HD, U.K.. Contact information at EDIRC.
Bibliographic data for series maintained by LSERO Manager ().