Predicting the Geography of House Prices

Bernard Fingleton ()

SERC Discussion Papers from Centre for Economic Performance, LSE

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.

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 (7)

Downloads: (external link)
http://cep.lse.ac.uk/pubs/download/sercdp0045.pdf (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:cep:sercdp:0045

Access Statistics for this paper

More papers in SERC Discussion Papers from Centre for Economic Performance, LSE
Bibliographic data for series maintained by ().