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Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 Apartment Rent Data

Identification

Resource Type: Dataset

Resource ID: da|ra.35.378

Version: 1

DOI: 10.7807/immo:red:wm:wi:suf:v9

URL: https://fdz.rwi-essen.de/en/doi-detail/id-107807immoredwmwisufv9.html


Titles

Title: Extra analysis for Wuppertal Institute using RWI-GEO-RED-V9 Apartment 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 (RWI - Leibniz-Institut für Wirtschaftsforschung) [ContactPerson]
  • Schaffner, Sandra (RWI - Leibniz-Institut für Wirtschaftsforschung) [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

    Unit Type: Housing Unit

  • Number of Units:362852
  • Number of Variables: 100
  • Type of Data: Aggregated Data
  • Files:
    • File Name: WM_prepared
    • File Size: 145,322 KB
    • File Format: DTA

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

Temporal Coverage: 2007-June 2023

Geographic coverages: DE


Relations

Related Identifiers:


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 Apartment Rent Data. RWI-GEO. Version: 1. RWI – Leibniz Institute for Economic Research. Dataset. doi.org/10.7807/immo:red:wm:wi:suf:v9

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