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The Washington, D.C. Housing Affordability Simulator

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dc.contributor.advisor Axtell, Robert
dc.contributor.author Bucholtz, Shawn Joseph
dc.creator Bucholtz, Shawn Joseph
dc.date.accessioned 2018-10-22T01:19:53Z
dc.date.available 2018-10-22T01:19:53Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/1920/11275
dc.description.abstract This dissertation presents the Washington, D.C. Housing Affordability Simulator, or DCHAS. DCHAS is an empirical agent-based model of urban housing supply and demand, with a special emphasis on housing affordability and affordable housing production. DCHAS agents include households, landlords, developers and the local government. Past agent-based and microsimulation modeling efforts have demonstrated the importance of including agent heterogeneity and land markets in models of urban housing supply and demand. DCHAS builds upon this foundation and extends prior efforts by including six additional features important to on housing affordability and affordable housing production: agent variation appropriate to low-income households, explicit representation of Federal housing subsidies, explicit representation of affordable housing supply, rent control, zoning and regeneration of properties, and filtering and rehabilitation of housing units. DCHAS is calibrated to the population and housing stock as it existed in 2010. The behaviors of DCHAS’s agent are parameterized with data from 2011 to 2015. Combining a 2010-based population and housing stock with agent behavior parameterized with data from 2011 to 2015, it is demonstrated that DCHAS reliably reproduces housing supply and demand outcomes observed in 2015. Then, DCHAS is used to simulate three housing supply and demand scenarios over the next ten years (2016 -2025). The principle contributions of this dissertation are to: (1) identify and explore six concepts critical to housing affordability in an urban environment; (2) demonstrate how to empirically represent these concepts through the use of administrative data sources, and (3) demonstrate how to build an empirically-based ABM that can be used to simulate housing affordability under different market conditions or housing policy scenarios.
dc.format.extent 186 pages
dc.language.iso en
dc.rights Copyright 2017 Shawn Joseph Bucholtz
dc.subject Economics en_US
dc.subject Statistics en_US
dc.subject Affordability en_US
dc.subject Agent-based en_US
dc.subject Economics en_US
dc.subject Housing en_US
dc.subject Simulation en_US
dc.subject Spatial en_US
dc.title The Washington, D.C. Housing Affordability Simulator
dc.type Dissertation
thesis.degree.level Ph.D.
thesis.degree.discipline Computational Social Sciences
thesis.degree.grantor George Mason University


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