Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/296890 
Year of Publication: 
2022
Series/Report no.: 
Danmarks Nationalbank Working Papers No. 188
Publisher: 
Danmarks Nationalbank, Copenhagen
Abstract: 
In this paper, we introduce a novel tool for housing market analysis developed on the basis of online listings data from the largest real estate listing site in Denmark. The tool uses a combination of machine learning techniques to provide a datadriven segmentation of the housing market into meaningful submarkets that differ from administrative classifications. We demonstrate how the tool can support monitoring and research of underlying housing market developments in Denmark.
Subjects: 
Housing market
internet data
neural network
Document Type: 
Working Paper

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