Stochastic models for strategic resource allocation in nonprofit foreclosed housing acquisitions

Armagan Bayram, Senay Solak and Michael Johnson

European Journal of Operational Research, 2014, vol. 233, issue 1, 246-262

Abstract: Increased rates of mortgage foreclosures in the U.S. have had devastating social and economic impacts during and after the 2008 financial crisis. As part of the response to this problem, nonprofit organizations such as community development corporations (CDCs) have been trying to mitigate the negative impacts of mortgage foreclosures by acquiring and redeveloping foreclosed properties. We consider the strategic resource allocation decisions for these organizations which involve budget allocations to different neighborhoods under cost and return uncertainty. Based on interactions with a CDC, we develop stochastic integer programming based frameworks for this decision problem, and assess the practical value of the models by using real-world data. Both policy-related and computational analyses are performed, and several insights such as the trade-offs between different objectives, and the efficiency of different solution approaches are presented.

Keywords: OR in societal problem analysis; OR in strategic planning; Foreclosures; Stochastic programming; Resource allocation (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:233:y:2014:i:1:p:246-262

DOI: 10.1016/j.ejor.2013.08.040

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