Regional Real Estate Price Index for Germany - PUF, 2008-11/2023 Version 13

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, 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 11/2023 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 11/2023 (municipality, district and grid level); third, the time-region fixed effect between 2008 and 2023, which is used to determine the price changes for all three region types to the base year of 2008 or year-quarter 2008-Q1.

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 November 2023. ImmobilienScout24 is the largest listing website for real estate in Germany. The price indices are estimated labor market region, district and municipality level

The data is based on the data set RWI-GEO-RED, that collects all offers for private housing on ImmobilienScout24 between January 2008 and November 2023. 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:puf:v13
Related Identifier Continues https://doi.org/10.7807/immo:redx:v12
Related Identifier IsDerivedFrom https://doi.org/10.7807/immo:red:wm:v10
Related Identifier IsDerivedFrom https://doi.org/10.7807/immo:red:wk:v10
Related Identifier IsDerivedFrom https://doi.org/10.7807/immo:red:hk:v10
Related Identifier IsDocumentedBy https://doi.org/10.5281/zenodo.12166545
Metadata Access https://api.datacite.org/dois/10.7807/immo:redx:puf:v13
Provenance
Creator RWI-Leibniz-Institut Für Wirtschaftsforschung
Publisher RWI – Leibniz Institute for Economic Research
Contributor Thiel, Patrick; Breidenbach, Philipp
Publication Year 2024
Rights Non-commercial use only
OpenAccess true
Representation
Language English
Resource Type Dataset
Format XLSX
Size 2,127 KB; 1,531 KB; 1,111 KB; 2,864 KB; 20,529 KB
Version 1
Discipline Social Sciences
Spatial Coverage Germany