Regional Real Estate Price Index for Germany - SUF, 2008-05/2024 Version 14

DOI

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 grid level, LMR, district/county and municipality level. 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. We also offer a combined index which combines the individual housing types into one index. There are three different specifications: First, the overall time development from 01/2008 to 05/2024 on grid level given yearly and quaterly; Second, cross-regional differences for each year separately and time development within one region from 01/2018 to 05/2024 (municipality, district, LMR, and grid level); third, the time-region fixed effect between 2008 and 2024, which is used to determine the price changes for all three region types to the base year of 2008.

RWI-GEO-REDX

Other

The data is based on the data set RWI-GEO-RED, that collects all offers for private housing on ImmobilienScout24 between January 2008 and May 2024. ImmobilienScout24 is the largest listing website for real estate in Germany. The price indices are estimated labor market region, district and municipality level

Stratified random sampling

Identifier
DOI https://doi.org/10.7807/immo:redx:suf:v14
Related Identifier Continues https://doi.org/10.7807/immo:redx:suf:v13
Related Identifier IsDerivedFrom https://doi.org/10.7807/immo:red:wm:v11
Related Identifier IsDerivedFrom https://doi.org/10.7807/immo:red:wk:v11
Related Identifier IsDerivedFrom https://doi.org/10.7807/immo:red:hk:v11
Related Identifier IsDocumentedBy https://doi.org/10.5281/zenodo.14167835
Metadata Access https://api.datacite.org/dois/10.7807/immo:redx:suf:v14
Provenance
Creator RWI-Leibniz-Institut Für Wirtschaftsforschung; ImmobilienScout24
Publisher RWI – Leibniz Institute for Economic Research
Contributor Thiel, Patrick; Breidenbach, Philipp; RWI-Leibniz-Institut Für Wirtschaftforschung
Publication Year 2024
Rights Non-commercial use only
OpenAccess true
Representation
Language English
Resource Type Dataset
Format XLSX
Size 5,635 KB; 3,766 KB; 3,331 KB; 5,913 KB; 68,942 KB
Version 1
Discipline Social Sciences
Spatial Coverage Germany