Real estate data for Germany (RWI-GEO-RED)

Breidenbach, Philipp; Schaffner, Sandra

doi:10.1515/ger-2019-0126

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Winke (2017) draws on data from ImmobilienScout and another source (IDN ImmoDaten GmbH) in order to examine the impact of aircraft noise on apartment prices in Frankfurt. Frondel et al (2019) employ the data in an analysis of the effect of disclosing energy information on the asking prices of houses, Breidenbach and Schaffner (2020) describe the data set. Kholodilin et al (2017) provide a comprehensive discussion of the issues arising for the study of housing markets based on offers from internet platforms such as ImmoScout24.…”

Section: Methodsmentioning

confidence: 99%

Sorting in an urban housing market—is there a response to demographic change?

Neumann

Taruttis

2021

Rev Reg Res

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Using Dortmund as a case study we analyse whether rents and housing prices responded to local demographic change in a German city between 2007 and 2016. In a two-step analysis based on a spatial autoregressive hedonic pricing model and a discrete choice model of housing location we find that during the study period as a whole, higher local mortality induced a negative effect on apartment prices and rents. Yet, the neighbourhood effects of local ageing vary across sub-city districts. Most prominently, the study period was characterised by a strong and rising desire to purchase or rent housing in the vicinity of the city centre. Furthermore, prices for owner-occupied apartments and houses increased rapidly in the more well-off southern part of the city and particularly in a previously declining community, where a large-scale urban regeneration and environmental upgrading project has been implemented since 2011. The characteristics of households likely to move to this neighbourhood switched from low to high income.

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Section: Methodsmentioning

confidence: 99%

Sorting in an urban housing market—is there a response to demographic change?

Neumann

Taruttis

2021

Rev Reg Res

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“…For the derivation of the hedonic rent price index we use geo-coded real estate data provided by the RWI. The data is based on online listings from the internet platform Immobilien-Scout24 and includes both apartments and houses for sale and for rent (for a more detailed description see Breidenbach and Schaffner (2020)). In our derivation we focus on rental dwellings 29 .…”

Section: Figure 3: Application Of Rental Freeze Across Berlinmentioning

confidence: 99%

Gentrification and Affordable Housing Policies

Borck

Gohl

2021

SSRN Journal

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We use a quantitative spatial equilibrium model to evaluate the distributional and welfare impacts of a recent temporary rent control policy in Berlin, Germany. We calibrate the model to key features of Berlin's housing market, in particular the recent gentrification of inner city locations. As expected, gentrification benefits rich homeowners, while poor renter households lose. Our counterfactual analysis mimicks the rent control policy. We find that this policy reduces welfare for rich and poor households and in fact, the percentage change in welfare is largest for the poorest households. We also study alternative affordable housing policies such as subsidies and re-zoning policies, which are better suited to address the adverse consequences of gentrification.

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“…The old-age dependency ratio is easy to interpret and commonly applied in the literature (cf Breidenbach et al, 2022)…”

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confidence: 99%