Rethinking Housing with Agent-Based Models: Models of the Housing Bubble and Crash in the Washington DC Area 1997-2009

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dc.contributor.advisorAxtell, Robert L
dc.contributor.authorGoldstein, Jonathan D.
dc.creatorGoldstein, Jonathan D.
dc.date.accessioned2018-10-22T01:19:46Z
dc.date.available2018-10-22T01:19:46Z
dc.date.issued2017
dc.description.abstractThis dissertation presents a series of related agent-based models (ABMs) of the housing market in the Washington DC Metropolitan Statistical Area. The models investigate the causes of the housing market bubble and crash during the time period 1997-2009 and policies that could have avoided such a crisis. The work in this dissertation contributes to three research areas: understanding the underlying causes of the housing crisis, demonstrating the ability of ABMs to generate important macro phenomena, and improving ABM methodology.
dc.format.extent179 pages
dc.identifier.urihttps://hdl.handle.net/1920/11237
dc.language.isoen
dc.rightsCopyright 2017 Jonathan D. Goldstein
dc.subjectEconomics
dc.subjectComputer science
dc.subjectAgent-Based Model
dc.subjectAsset Bubble
dc.subjectFinancial crisis
dc.subjectHousing
dc.subjectReal Estate
dc.subjectSimulation
dc.titleRethinking Housing with Agent-Based Models: Models of the Housing Bubble and Crash in the Washington DC Area 1997-2009
dc.typeDissertation
thesis.degree.disciplineComputational Social Sciences
thesis.degree.grantorGeorge Mason University
thesis.degree.levelPh.D.

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