Article ID Journal Published Year Pages File Type
4965226 Computers, Environment and Urban Systems 2017 17 Pages PDF
Abstract
On the basis of interviews with local real estate agents, this study develops an agent-based model of housing market to determine the cause of rise and collapse of US housing price during the years immediately preceding the US financial crisis (2007-2009). We study the key factors affecting housing price volatility, such as lenient financing and speculation. The dynamic simulation findings in the study show in concrete terms how lenient lending practices combined with speculation can lead to increased volatility in housing price, including sharp rises immediately followed by collapses. The exploratory work in this study will contribute to the understanding of the causes of housing bubbles and inform policy decisions.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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