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RWI-GEO-REDX: Regional Real Estate Price Index for Germany, 2008-5/2020
weiterer Titel:
Regionale Preisindices des deutschen Immobilienmarkts

Based on the RWI-GEO-RED data that base on the data provided by ImmobilienScout24 hedonic housing price indices are estimated. The indices are on the labor market distict, district/county and municipality level (Gemeindeverbaende). We conduct a hedonic price regression that covers characteristics of the object as well as regional fixed effects. The hedonic regression is estimated separately for houses for sale as well as apartments for rent and for sale. There are three different specifications: first, the overall time development from 1/2008 to 5/2020 on district level given yearly and quaterly; second, cross-regional differences for each year separately and time development within one region from 1/2018 to 5/2020 (municipality, district and labor market region) and for the second quarter of 2020 (district and labor market region); third, the time-region fixed effect between 2008 and 2020, which is used to determine the price changes for all three region types to the base year of 2008. The indices for 2020 rely on the first month of the year. The definition of labor market areas rely on RWI (2018).

price indices; offer prices; real estate; house sales; rental apartments; apartment sales; Germany; district; municipalities; labor market regions
RWI, Immobilienschout24, Sandra Schaffner, Larissa Klick
Geografischer Raum:
2008-01-01 - 2020-05-31
ImmobilienScout24 is the largest listing website for real estate in Germany offering residential as well as commercial properties. Only residential properies are used for the estimated price indices. Moreover, offers that were deactivated temporarily (possibly because a buyer or renter was found but the contract has not yet been signed) or updated are only used as the last version of the offer published online. The questionnaire filled in by the  vendor does not contain compulsory statements as far as equipment of the property is concerned. The price for the poperty is given by the vendor save for some few exceptions. It has to be kept in mind that the data set includes advertising prices only, not transaction prices.
Zeitliche Dimension:
  • Continues
    DOI: https://doi.org/10.7807/immo:redx:v4 (Dataset)
  • Continues
    DOI: https://doi.org/10.7807/immo:redx:v3 (Dataset)
  • Continues
    DOI: https://doi.org/10.7807/immo:redx:v2 (Dataset)
  • Unit Type: Geographic Unit
    Number of Units: 5210
    Number of Variables: 191
    Type of Data: aggregate Data
    • File Name: RWIGEOREDX_HousPurc_v5
      File Format: xlsx
      File Size: 2.346 MB
  • Unit Type: Geographic Unit
    Number of Units: 5210
    Number of Variables: 191
    Type of Data: aggregate Data
    • File Name: RWIGEOREDX_ApPurc_v5
      File Format: xlsx
      File Size: 1.799 MB
  • Unit Type: Geographic Unit
    Number of Units: 5210
    Number of Variables: 191
    Type of Data: aggregate Data
    • File Name: RWIGEOREDX_ApRent_v5
      File Format: xlsx
      File Size: 2.029 MB
no commercial use
Klick, Larissa; Schaffner, Sandra; RWI – Leibniz-Institut für Wirtschaftsforschung; Scout24 AG c/o Immobilien Scout GmbH (2020): Regional Real Estate Price Index for Germany, 2008-5/2020. RWI-GEO-REDX. Version: 1. RWI – Leibniz Institute for Economic Research. Dataset. https://doi.org/10.7807/immo:redx:v5
  • Klick, L. und S. Schaffner (2020), Regional Real Estate Price Indices for Germany, 2008 – 2019: RWI–GEO–REDX, Jahrbücher für Nationalökonomie und Statistik (published online ahead of print). DOI: https://doi.org/10.1515/jbnst-2020-0001
  • Klick, L. und S. Schaffner (2019), FDZ Data description: Regional Real Estate Price Indices for Germany (RWI-GEO-REDX), RWI Projektberichte, Essen.
  • Breidenbach, P. und S. Schaffner (2020), Real estate data for Germany (RWI-GEO-RED). German Economic Review 21 (3): 401-416. DOI: 10.1515/ger-2019-0126  
  • RWI (2018), Überprüfung des Zuschnitts von Arbeitsmarktregionen für die Neuabgrenzung des GRW-Fördergebiets ab 2021. RWI Projektberichte.
JEL Classifications:
R31, R32