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Property value impacts of foreclosed housing acquisitions under uncertainty

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  • Johnson, Michael P.
  • Solak, Senay
  • Drew, Rachel Bogardus
  • Keisler, Jeffrey

Abstract

Community development corporations seek to stabilize neighborhoods affected by the recent foreclosure crisis through acquisition and redevelopment of distressed properties. One rationale for this work is the alleviation or avoidance of negative foreclosure impacts. We estimate the lost value to proximate properties associated with a single foreclosure through a Markov chain representing probabilistic transitions between foreclosure stages. We apply our model to a case study of foreclosure properties in Chelsea, MA. A rank ordering by estimated property value impacts indicates significant potential gains in social value as compared to current community development practice. We extend our basic model to address the effects of clusters of foreclosed units upon the value of proximate properties. This study provides additional support for the use of decision modeling in foreclosed housing acquisition and redevelopment.

Suggested Citation

  • Johnson, Michael P. & Solak, Senay & Drew, Rachel Bogardus & Keisler, Jeffrey, 2013. "Property value impacts of foreclosed housing acquisitions under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 47(4), pages 292-308.
    • Handle: RePEc:eee:soceps:v:47:y:2013:i:4:p:292-308
    DOI: 10.1016/j.seps.2013.07.003
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    Cited by:

    1. Senay Solak & Armagan Bayram & Mehmet Gumus & Yueran Zhuo, 2019. "Technical Note—Optimizing Foreclosed Housing Acquisitions in Societal Response to Foreclosures," Operations Research, INFORMS, vol. 67(4), pages 950-964, July.
    2. Bayram, Armagan & Solak, Senay & Johnson, Michael, 2014. "Stochastic models for strategic resource allocation in nonprofit foreclosed housing acquisitions," European Journal of Operational Research, Elsevier, vol. 233(1), pages 246-262.

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