Extra analysis of the RWI-GEO-RED-V9 apartment rent data
Identification
Resource Type: Dataset
Resource ID: da|ra.35.374
Version: 1
DOI: 10.7807/immo:red:wm:lor:milieu:suf:v9
URL: https://fdz.rwi-essen.de/en/doi-detail/id-107807immoredwmlormilieusufv9.html
Language of Resource
Language: eng
Titles
Title: Extra analysis of the RWI-GEO-RED-V9 apartment rent data
Other Title: Version 1 (Subtitle)
Collective Title: RWI-GEO-RED
Primary researcher
Creators - Institution:
- RWI - Leibniz-Institut für Wirtschaftsforschung
- ImmobilienScout24
Origin Information
Publisher: RWI – Leibniz Institute for Economic Research
Publication date: 06.02.2024
Publication Place: Essen
Access
Availability: NotAvailable
Rights: Non-commercial use only
Contributor
Contributor - Person:
- Thiel, Patrick (RWI - Leibniz-Institut für Wirtschaftsforschung) [ContactPerson]
- Schaffner, Sandra (RWI - Leibniz-Institut für Wirtschaftsforschung) [ProjectLeader]
- Hörnig, Lukas (RWI - Leibniz-Institut für Wirtschaftsforschung) [DataCurator]
Methods
Sampled Universe: All houses for sale on the ImmobilienScout24 website in Berlin, excluding houses located in an overlap of LOR and milieu smaller than 5000 m2.
Sampling: Full sample minus 627 listings
Time Dimension: Longitudinal
Collection Mode: Observation.ComputerBased
DataSets and Files
- Number of Units:1990565
- Number of Variables: 113 Files:
- File Name: Sonderaufbereitung_RED-LOR-Milieu_v9_WM
- File Size: 2 365 812 KB
- File Format: dta
Unit Type: Housing Unit
Classifications
JEL (Journal of Economic Literature) Classification:
- R31
Keywords
- offering prices
- houses
- flat
- regional
- small-scale
Description
Description: The data set is based on RWI-GEO-RED v9, with the difference that the ID of the grid cell has been replaced by the IDs of the LORs and milieus. For more information, see the data description by Schaffner and Thiel (2023).
Coverage
Temporal Coverage: 2007-June 2023
Geographic coverages: DE-BE
Relations
Related Identifiers:
IsDerivedFrom
DOI: 10.7807/immo:red:wm:suf:v9 (Dataset)
IsSupplementTo
DOI: 10.7807/immo:red:hk:lor:milieu:suf:v9 (Dataset)
IsSupplementTo
DOI: 10.7807/immo:red:hm:lor:milieu:suf:v9 (Dataset)
IsSupplementTo
DOI: 10.7807/immo:red:wk:lor:milieu:suf:v9 (Dataset)
IsDerivedFrom
URL: www.berlin.de/sen/sbw/stadtdaten/stadtwissen/sozialraumorientierte-planungsgrundlagen/lebensweltlich-orientierte-raeume/ (Dataset)
IsDerivedFrom
URL: fbinter.stadt-berlin.de/fb/index.jsp (Dataset)
Publication
- 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.
- Schaffner, S. and P. Thiel (2022). FDZ Data description: Real-Estate Data for Germany (RWI-GEO-RED v7) - Advertisements on the Internet Platform ImmobilienScout24 2007-06/2022, RWI Projektberichte, Essen.
- Schaffner, S. and P. Thiel (2023). FDZ Data description: Real-Estate Data for Germany (RWI-GEO-RED v9) - Advertisements on the Internet Platform ImmobilienScout24 2007-06/2023, RWI Projektberichte, Essen.
- Geoportal Berlin / [Erhaltungsverordnungsgebiete § 172 BauGB]
Citation
RWI - Leibniz-Institut für Wirtschaftsforschung; ImmobilienScout24 (2024): Sonderauswertung der RWI-GEO-RED-V9 Wohnungsmietdaten. RWI-GEO-RED. Version: 1. RWI – Leibniz Institute for Economic Research. Dataset. doi.org/10.7807/immo:red:wm:lor:milieu:suf:v9