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      A new attribute-linked residential property price dataset for England and Wales, 2011–2019

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          Abstract

          Current research on residential house price variation in the UK is limited by the lack of an open and comprehensive house price database that contains both transaction price alongside dwelling attributes such as size. This research outlines one approach which addresses this deficiency in England and Wales through combining transaction information from the official open Land Registry Price Paid Data (LR-PPD) and property size information from the official open Domestic Energy Performance Certificates (EPCs). A four-stage data linkage is created to generate a new linked dataset, representing 79% of the full market sales in the LR-PPD. This new linked dataset offers greater flexibility for the exploration of house price (£/m 2) variation in England and Wales at different scales over postcode units between 2011 and 2019. Open access linkage codes will allow for future updates beyond 2019.

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          Most cited references 41

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          An Invariant Form for the Prior Probability in Estimation Problems

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            The Value of Housing Characteristics: A Meta Analysis

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              District house price movements in England and Wales 1997–2007: an exploratory spatial data analysis approach

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                Author and article information

                Journal
                UCL Open Environ
                UCLOE
                UCL Open Environment
                UCL Open Environ
                UCL Press (UK )
                2632-0886
                27 May 2021
                2021
                : 2
                Affiliations
                [1 ]Centre for Advanced Spatial Analysis (CASA), University College London, 90 Tottenham Court Road, London W1T 4TJ, UK
                Author notes
                *Corresponding author: E-mail: bin.chi.16@ 123456ucl.ac.uk
                Article
                10.14324/111.444/ucloe.000019
                © 2021 The Authors.

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

                Page count
                Figures: 7, Tables: 3, References: 43, Pages: 25
                Categories
                Research Article

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                UCL Open Environment
                Volume 2,

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