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Regional Real Estate Price Index for Germany - residuals (RWI-GEO-REDX)

Version
1
Resource Type
Dataset
Creator
  • Klick, Larissa (RWI - Leibniz- Institut für Wirtschaftsforschung)
  • Schaffner, Sandra (RWI - Leibniz- Institut für Wirtschaftsforschung)
  • RWI
  • ImmobilienScout24
Other Title
  • Regionale Preisindizes des deutschen Immobilienmarkts - Residuen (Translated Title)
Collective Title
  • RWI-GEO-REDX
Publication Date
2020-07-15
Publication Place
Essen
Contributor
  • Klick, Larissa (RWI - Leibniz- Institut für Wirtschaftsforschung) (Producer)
  • Schaffner, Sandra (RWI - Leibniz- Institut für Wirtschaftsforschung) (Project Leader)
  • ImmobilienScout24 (Data Collector)
Language
English
Classification
  • JEL:
    • Housing Supply and Markets
    • General Regional Economics (includes Regional Data)
Free Keywords
price indices; real estate; house sales; rental apartments; apartment sales; Germany; residuals
Description
  • Abstract

    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 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. The estimations are for the time development within one region from 1/2018 to 1/2020 (municipality and district n) the estimation is therefore conducted with time-region fixed effects between 2008 and 2020. This dataset covers the estimated region-time fixed effects as well as the estimated residuals.

Temporal Coverage
  • 01/01/2008-31/01/2020
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 January 2007 and January 2020. ImmobilienScout24 is the largest listing website for real estate in Germany. The price indices are estimated on district and municipality level. The dataset covers the estimated residuals.

Sampling

full sample

Time Dimension
  • Cross-section
Collection Mode
  • Other
Data and File Information
  • Unit Type: Object
    Number of Units: 36047256
    Number of Variables: 5
    Type of Data: aggregate data
    • File Name: HK_gemeinde; HK_kreis; WK_gemeinde; WK_kreis; WM_gemeinde; WM_kreis
      File Format: Stata
      File Size: 564 MB
Availability
Delivery
Rights
no commercial use
Relations
  • Is supplement to
    DOI: http://doi.org/10.7807/immo:redx:v4 (Dataset)
Publications
  • 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.

Update Metadata: 2020-07-28 | Issue Number: 31 | Registration Date: 2020-07-21

Klick, Larissa; Schaffner, Sandra; RWI; ImmobilienScout24 (2020): Regional Real Estate Price Index for Germany - residuals (RWI-GEO-REDX). RWI-GEO-REDX. Version: 1. RWI – Leibniz Institute for Economic Research. Dataset. https://doi.org/10.7807/immo:redx:resid:v1