An agent-based model of residential choice dynamics in nonstationary housing markets

This paper presents an agent-based model developed to simulate residential choice behaviour in a nonstationary housing market. The model is built around the assumption that agents have incomplete and imperfect knowledge, and thus have to base their decisions on beliefs. The aim is to illustrate how the agents deal with the uncertainty inherent in these beliefs, both at the level of a single agent, deciding among a set of successive actions, and at the level of a group of agents, negotiating over the price of a house.