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Type Working Paper
Scope Discipline-based scholarship
Title Increasing the Value of Search Subscriptions for Housing Market Analyses
Organization Unit
Authors
  • Andy Egger
  • Vanessa Kummer
  • Maik Meusel
  • Karl Schmedders
Language
  • English
Institution University of Zurich
Series Name SSRN
Number 3061979 WP
ISSN 1556-5068
Number of Pages 31
Date 2017
Abstract Text The drastic increase in the number of vacant accommodations in some regions of Switzerland and the simultaneous housing shortage in others are the result of not knowing where people want to live and, therefore, of having built accommodations in the wrong locations. In order to better understand what people are searching for, the Swiss start-up Realmatch360 began to analyze search subscriptions to real estate platforms. Using search subscriptions allows the company to get a better understanding of people’s preferences for housing and even to identify unmet demand. In this paper, we propose powerful approaches based on unsupervised learning to maximize the benefits of using search subscriptions exhibiting many missing entries for housing market analyses.
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Digital Object Identifier 10.2139/ssrn.3061979
Other Identification Number merlin-id:16017
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