Register Dashboard
Search
985
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      Preprint
      This is not the latest version for this article. If you want to read the latest version, click here.

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Author and article information

          Journal
          UCL Open: Environment Preprint
          UCL Press
          27 January 2021
          Affiliations
          [1 ] Centre for Advanced Spatial Analysis, University College London, 90 Tottenham Court Road, London W1T 4TJ, UK.
          Article
          10.14324/111.444/000064.v1

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

          Funding
          China Scholarship Council CSC No. 201708060184

          Comments

          Date: 24 March 2021

          Handling Editor: Dan Osborn

          Editorial decision: Request revision. The Handling Editor requested revisions; the article has been returned to the authors to make this revision.

          2021-03-29 15:58 UTC
          +1

          Update on data access for reviewers:

          The linked, original EPCs and LR-PPD datasets and linkage codes are deposited and published in UK Data Service's ReShare (https://reshare.ukdataservice.ac.uk/854240/) under an open access data licence that precludes commercial use: the licence for each dataset is clarified along with the data in ReShare. The linked result data(tranall2011_19.csv) is open to the public with the rest of the datasets keep under the temporal embargo during peer review. Reviewers can access all the data for review purposes by firstly registering with UKDS (https://www.ukdataservice.ac.uk/get-data/how-to-access/registration.aspx) and then e-mail reshare@ukdataservice.ac.uk for access by mentioning the record number (854240) in their e-mail.

          2021-02-03 11:57 UTC
          +1

          Date: 29 January 2021

          Handling Editor: Dan Osborn

          This article is a preprint article and has not been peer-reviewed. It is under consideration following submission to UCL Open: Environment Preprint for open peer review.

          In addition, this article was seen as suitable for UCL Open: Environment submission for the following points:

          1. The article reports accurately and easily accessible georeferenced data relevant to the natural and human environment that is an essential part of managing the planet more sustainably.
          2. The article may offer a way of accessing and updating such data more easily.
          3. The integration of house price data with energy performance data may enable housing stocks to be better managed and adaptation and mitigation measures targetted.
          2021-01-29 12:15 UTC
          +1

          Comment on this article