An Agent-Based Market Analysis of Urban Housing Balance in The Netherlands

Journal Article (2024)
Author(s)

Erik Wiegel (Student TU Delft)

Neil Yorke-Smith (TU Delft - Algorithmics)

Research Group
Algorithmics
DOI related publication
https://doi.org/10.3390/realestate1010006
More Info
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Publication Year
2024
Language
English
Research Group
Algorithmics
Issue number
1
Volume number
1
Pages (from-to)
80-135
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Abstract

The Dutch housing market comprises three sectors: social-rented, private-rented, and owner-occupied. The contemporary market is marked by a shortage of supply and a large subsidised social sector. Waiting lists for social housing are growing, whereas households with incomes above the limit do not or cannot leave the social sector. Government policy and market regulations change frequently, not least for political reasons. In view of commonly recognised problems in the housing market, this article considers the ‘internal demand’ of those households that are dissatisfied with their current residence. We examine the effects of regulatory policy by means of an exploratory agent-based simulation. The results provide perspectives on how internal demand is impacted by regulations in a housing market that is suffering from a shortage, and allow decision makers to weigh the pros and cons of policy measures.