An Agent-Based Simulation of Rental Housing Markets
We simulate a closed rental housing market with search and match- ing frictions, in which both landlord and tenant agents are imperfectly informed. Homogeneous landlords set rents to maximise revenue, using information on the market to estimate the relationship between posted rent and time-on-the-market (TOM). Tenants, heterogeneous in income, engage in undirected search accepting residences based on their idiosyn- cratic tastes for housing and a disagreement point derived from informa- tion on the distribution of oers. The steady state to which the simulation evolves shows price dispersion, nonzero search times and vacancies. The main results concern the eects of increasing information on either side of the market. When tenants see a greater percentage of the distri- bution of oers, tenants learn to refuse high rents and so the population rises and tenants' utilities rise as does overall welfare. Conversely, when landlords have less information, their utility can rise as over estimations in best posting rent move the market to higher rents.
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- Marcus Allen & Ronald Rutherford & Thomas Thomson, 2009. "Residential Asking Rents and Time on the Market," The Journal of Real Estate Finance and Economics, Springer, vol. 38(4), pages 351-365, May.
- Diamond, Peter A., 1971. "A model of price adjustment," Journal of Economic Theory, Elsevier, vol. 3(2), pages 156-168, June.
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