Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 House Rent Data
Identification
Resource Type: Dataset
Resource ID: da|ra.35.376
Version: 1
DOI: 10.7807/immo:red:hm:wi:suf:v9
URL: https://fdz.rwi-essen.de/en/doi-detail/id-107807immoredhmwisufv9.html
Language of Resource
Language: eng
Titles
Title: Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 House Rent Data
Other Title: Version 1 (Subtitle)
Collective Title: RWI-GEO
Primary researcher
Creators - Institution:
- RWI - Leibniz-Institut für Wirtschaftsforschung
- ImmobilienScout24
Origin Information
Publisher: RWI – Leibniz Institute for Economic Research
Publication date: 12.03.2024
Publication Place: Essen
Access
Availability: NotAvailable
Rights: Non-commercial use only
Contributor
Contributor - Person:
- Thiel, Patrick [ContactPerson]
- Schaffner, Sandra [ProjectLeader]
Methods
Sampled Universe: All housing units for the cities of Wuppertal and Mannheim
Sampling: Full sample for the cities of Wuppertal and Mannheim
Time Dimension: Longitudinal
Collection Mode: Observation.ComputerBased
DataSets and Files
- Number of Units:6095
- Number of Variables: 100
- Type of Data: Aggregated Data Files:
- File Name: HM_prepared
- File Size: 2,466 KB
- File Format: DTA
Unit Type: Housing Unit
Classifications
JEL (Journal of Economic Literature) Classification:
- R31
Keywords
- Offering prices
- Flat
- Apartment
- Regional
- Small-scale
Description
Description: The data set is based on RWI-GEO-RED v9, but includes only the cities of Wuppertal and Mannheim. It also contains additional information on city districts as well as information on whether the building is considered a historic building. For more information, see the data description by Schaffner and Thiel (2023) and the GitHub repository https://github.com/PThie/RED-Sonderauswertung-Wuppertal-Institut.
Coverage
Geographic coverages: DE
Relations
Related Identifiers:
IsDerivedFrom
DOI: 10.7807/immo:red:hm:suf:v9 (Dataset)
IsSupplementTo
DOI: 10.7807/immo:red:wk:wi:suf:v9 (Dataset)
IsSupplementTo
DOI: 10.7807/immo:red:hk:wi:suf:v9 (Dataset)
IsSupplementTo
DOI: 10.7807/immo:red:wm:wi:suf:v9 (Dataset)
IsDocumentedBy
DOI: 10.5281/zenodo.10812938 (Software)
IsDerivedFrom
URL: www.offenedaten-wuppertal.de/dataset/alkis-geb%C3%A4ude-wuppertal (Dataset)
IsDerivedFrom
URL: www.offenedaten-wuppertal.de/dataset/baudenkm%C3%A4ler-wuppertal (Dataset)
IsDerivedFrom
URL: www.offenedaten-wuppertal.de/dataset/quartiere-wuppertal (Dataset)
IsDerivedFrom
URL: www.gis-mannheim.de/mannheim/mod_ogc/wms_getmap.php (Dataset)
Publication
- 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.
Citation
RWI - Leibniz-Institut für Wirtschaftsforschung; ImmobilienScout24 (2024): Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 House Rent Data. RWI-GEO. Version: 1. RWI – Leibniz Institute for Economic Research. Dataset. doi.org/10.7807/immo:red:hm:wi:suf:v9