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An improved national house price index using Land Registry data

Selwyn, L; Pavlou, M; (2007) An improved national house price index using Land Registry data. (RICS Research Paper Series 7 (11) ). Royal Institution of Chartered Surveyors: London, UK. Green open access

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Abstract

The methods of constructing house price indices in the UK have lagged behind those employed in some Western countries. The deficiencies in these methods weaken the decision-making ability of investors, stakeholders and policy makers. This paper reviews existing methodologies and introduces the repeat sales regression (RSR) method in a UK context, utilising Land Registry data. Particularly, we build upon the argument presented by Leishman and Watkins (2002) that some deficiencies of the existing indices can in part be remedied through the application of the repeat sales regression method using Land Registry Data. We initially summarise evidence and conclusions drawn from previous studies in order to demonstrate through application that repeat sales regression analysis on the recently released Land Registry `price paid' dataset, is the preferable methodology for the measurement of house price movements in England and Wales; addressing some of the shortcomings associated with the current methodologies. We present empirical research conducted by the author, illustrating the first application of repeat sales regression for England and Wales using Land Registry data.

Type: Report
Title: An improved national house price index using Land Registry data
ISBN-13: 9781842193471
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.rics.org/site/scripts/download_info.asp...
Language: English
Additional information: Report made available here with permission of publisher
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/730953
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