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RWI-GEO-REDX: Regional, Time Independent Real Estate Price Index (Regression 1)

Version
1
Resource Type
Dataset
Creator
  • Klick, Larissa (RWI - Leibniz- Institut für Wirtschaftsforschung)
  • Schaffner, Sandra (RWI - Leibniz- Institut für Wirtschaftsforschung)
  • RWI
  • Immobilien Scout GmbH
Other Title
  • Regionale, zeitlich unabhängige Preisindices des deutschen Immobilienmarkt (Translated Title)
Publication Date
2019-06-13
Publication Place
Essen
Contributor
  • Klick, Larissa (RWI - Leibniz-Institut für Wirtschaftforschung) (Contact Person)
  • Schaffner, Sandra (RWI - Leibniz-Institut für Wirtschaftforschung) (Project Leader)
  • Scout24 AG c/o Immobilien Scout GmbH (Data Collector)
  • RWI - Leibniz-Institut für Wirtschaftforschung (Editor)
Language
German
Free Keywords
time independent price indices, real estate, house sales, Germany, districts, counties, municipalities
Description
  • Abstract

    Based on the RWI-GEO-RED data that base on the data provided by ImmobilienScout24 hedonic housing price indices are conducted. The indices are on the district and municipality level (Gemeindeverbaende). We conduct a hedonic price regression that covers characteristics of the object for houses for sale. The index is given by an estimation that captures the time, regional independent development and the regional, time independent component of the real estate data in Germany separatly. The declared regional, time independent effect is determined as a fixed effect of the hedonic function.

Temporal Coverage
  • 2008-2017
Geographic Coverage
  • Germany (DE)
Sampled Universe

The data is based on the data set RWI-GEO-RED, that collects all offers for private housing on ImmobilienScout24 between 2007 and 2017. ImmobilienScout24 is the largest listing website for real estate in Germany.

Sampling

stratified random sampling

Time Dimension
  • Other
Collection Mode
  • Other

    ImmobilienScout24 is the largest listing website for real estate in Germany offeringr residential as well as commercial properties. Only residential properies are used for the estimated priceindices. 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 published online. The questionnaire filled in by vendor does not contain compulsory statements as far as equipment of the property is concerned. The price for the property 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.

Data and File Information
  • Unit Type: Geographic Unit
    Number of Units: 402
    Number of Variables: 176
    Type of Data: aggregate data
    • File Name: RWIGEOREDX_HousePurchase_Regression1
      File Format: Excel
      File Size: 177KB
Note
The indices reflect advertising prices not realized transaction prices.
Availability
Delivery
Rights
no commercial use
Relations
  • Continues
    DOI: http://doi.org/10.7807/immo:redx:v2 (Dataset)
Publications
  • Klick, Larissa;Schaffner, Sandra;RWI(2019): Regional Real Estate Price Index. RWI-GEO-REDX. Version:1. RWI – Leibniz-Institut für Wirtschaftsforschung. Dataset. http://doi.org/10.7807/immo:redx:v2

  • Klick, L. und S. Schaffner (2019), FDZ Data description: Regional Real Estate Price Indices for Germany (RWI-GEO-REDX), RWI Projektberichte, Essen.

  • Boelmann, B. und S. Schaffner (2019), FDZ Data description: Real-Estate Data for Germany (RWI-GEO-RED) - Advertisements on the Internet Platform ImmobilienScout24), RWI Projektberichte, Essen.

Update Metadata: 2019-07-12 | Issue Number: 15 | Registration Date: 2019-07-12

Klick, Larissa; Schaffner, Sandra; RWI; Immobilien Scout GmbH (2019): RWI-GEO-REDX: Regional, Time Independent Real Estate Price Index (Regression 1). Version: 1. RWI – Leibniz-Institut für Wirtschaftsforschung. Dataset. https://doi.org/10.7807/immo:redx:v2:1