This thesis develops a beta version of a new agent-based model of the Danish housing market, which is well suited to throw light on a range of aspects concerning business cycles and macro-prudential regulation. In particular, the model is employed to analyze the effects of income shocks, mortgage rate shocks and regulation on debt-to-income limits.

Several independent datasets concerning household behavior in the Washington, D.C. metropolitan area are combined to create an agent-based model of the recent housing market bubble and its aftermath. Comprehensive data on housing stock attributes, primarily from local government sources, are used as input to the model, as are administratively-complete data on household characteristics. Data covering...

Markets for domestic housing in countries like England differ from other markets because the stock is fixed in the short term, buyers need to raise mortgages to finance their purchases and prices tend to be set through intermediaries (‘estate agents’ or realtors). We introduce an agent-based model in which some of the main features of...