Technical Note—Optimizing Foreclosed Housing Acquisitions in Societal Response to Foreclosures

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References

  • Hersh MB (2012) The hard part. Accessed April 25, 2012, https://shelterforce.org/2012/04/25/the_hard_part/.Google Scholar
  • Bayram A, Solak S, Johnson MP, Turcotte D (2011) Managing foreclosed housing portfolios for improved social outcomes. Proc. 22nd Annual Production Oper. Management Soc. Conf., Reno, NV.Google Scholar
  • Bernanke BS (2008) Housing, mortgage markets, and foreclosures. Accessed March 26, 2019, https://www.federalreserve.gov/newsevents/speech/bernanke20081204a.htm.Google Scholar
  • Bertsimas D, Popescu I (2003) Revenue management in a dynamic network environment. Transportation Sci. 37(3):257–277.LinkGoogle Scholar
  • Bratt R (2009) Challenges for nonprofit housing organizations created by the private housing market. J. Urban Affairs 31(1):67–96.CrossrefGoogle Scholar
  • Calafiore GC (2008) Multi-period portfolio optimization with linear control policies. Automatica 44(10):2463–2473.CrossrefGoogle Scholar
  • Campbell JY, Giglio S, Pathak P (2011) Forced sales and house prices. Amer. Econom. Rev. 101(5):2108–2131.CrossrefGoogle Scholar
  • Caskey J, Aobdia D (2012) Investor cost basis and takeover bids. Working paper, University of California, Berkeley.Google Scholar
  • Christie L (2009) Home values plummet $500 billion. CNN Money (December 9), http://money.cnn.com/2009/12/09/real_estate/home_value_loss/index.htm.Google Scholar
  • Community Wealth (2012) Overview: Community development corporations. Accessed December 14, 2015, http://www.community-wealth.org/strategies/panel/cdcs/index.html.Google Scholar
  • Dizdar D, Gershkov A, Moldovanu B (2011) Revenue maximization in the dynamic knapsack problem. Theoret. Econom. 6(3):157–184.CrossrefGoogle Scholar
  • Gass A (2011) Implementing the neighborhood stabilization program. Technical report, NeighborWorks America, Washington, DC.Google Scholar
  • Harding JP, Rosenblatt E, Yao VW (2009) The contagion effect of foreclosed properties. J. Urban Econom. 66(3):164–178.CrossrefGoogle Scholar
  • Holt CA, Sherman R (2000) Risk aversion and the winner’s curse. Working paper, University of Virginia, Charlottesville.Google Scholar
  • Immergluck D, Smith G (2006) The external costs of foreclosure: The impact of single-family mortgage foreclosures on property values. Housing Policy Debate 17(1):57–79.CrossrefGoogle Scholar
  • Johnson M, Turcotte D, Sullivan F (2010) What foreclosed homes should a municipality purchase to stabilize vulnerable neighborhoods? Networks Spatial Econom. 10(3):363–388.CrossrefGoogle Scholar
  • Johnson M, Solak S, Drew R, Keisler J (2013) Property value impacts of foreclosed housing acquisitions under uncertainty. Socio-Economic Planning Sci. 47(4):292–308.CrossrefGoogle Scholar
  • Johnson MP (2011) Community-Based Operations Research: Decision Modeling for Local Impact and Diverse Populations (Springer, New York).Google Scholar
  • Joint Center for Housing Studies (2009) The state of the nation’s housing. Accessed May 12, 2015, http://www.jchs.harvard.edu/publications/markets/son2009/son2009.pdf.Google Scholar
  • Kaplan E (1984) Managing the demand for public housing. PhD thesis, Massachusetts Institute of Technology, Cambridge.Google Scholar
  • Kilic OA, Donk DP, Wijngaard J, Tarim SA (2010) Order acceptance in food processing systems with random raw material requirements. OR Spectrum 32(3):905–925.CrossrefGoogle Scholar
  • Kleywegt AJ, Papastavrou JD (1998) The dynamic and stochastic knapsack problem. Oper. Res. 46(1):17–35.LinkGoogle Scholar
  • Kleywegt AJ, Papastavrou JD (2001) The dynamic and stochastic knapsack problem with random sized items. Oper. Res. 4(1):26–41.LinkGoogle Scholar
  • Larson RC, Odoni AR (1981) Urban Operations Research (Prentice-Hall, Englewood Cliffs, NJ).Google Scholar
  • Leonard T, Murdoch J (2009a) The impact of foreclosures on neighboring housing sales. J. Real Estate Res. 31(4):455–479.CrossrefGoogle Scholar
  • Leonard T, Murdoch J (2009b) The neighborhood effects of foreclosure. J. Geographical Systems 11(4):317–332.CrossrefGoogle Scholar
  • Lin GY, Lu Y, Yao DD (2008) The stochastic knapsack revisited: Switch-over policies and dynamic pricing. Oper. Res. 56(4):945–957.LinkGoogle Scholar
  • Little JDC (1961) A proof for the queuing formula: L=λ w. Oper. Res. 9(3):383–387.LinkGoogle Scholar
  • Loch CH, Kavadias S (2002) Dynamic portfolio selection of NPD programs using marginal returns. Management Sci. 48(10):1227–1241.LinkGoogle Scholar
  • Lu Y (2005) Solving a dynamic resource allocation problem through continuous optimization. IEEE Trans. Automatic Control 50(6):890–894.CrossrefGoogle Scholar
  • Lubin G (2011) U.S. home values lost $798 billion last quarter, nearly $10 trillion destroyed since peak. Business Insider (February 9), https://www.businessinsider.com/zillow-fourth-quarter-798-billion-2011-2.Google Scholar
  • Mild P, Salo A (2009) Combining a multiattribute value function with an optimization model: An application to dynamic resource allocation for infrastructure maintenance. Decision Anal. 6(3):139–152.LinkGoogle Scholar
  • NeighborWorks (2009) Responsible approaches to neighborhood stabilization: Case studies in action. Technical report, NeighborWorks America, Washington, DC.Google Scholar
  • Nikolaev AG, Jacobson SH (2010) Stochastic sequential decision-making with a random number of jobs. Oper. Res. 58(4):1023–1027.LinkGoogle Scholar
  • Pollock SM, Rothkopf MH, Barnett A (1994) Operations Research in the Public Sector (North-Holland, Amsterdam).Google Scholar
  • Stable Communities (2012) Neighborhood stabilization program (NSP) strategies. Accessed May 20, 2015, http://www.stablecommunities.org/nsp-strategies.Google Scholar
  • Stevens DH (2011) Federal Housing Administration (FHA) first look sales method for grantees, nonprofit organizations, and subrecipients under the neighborhood stabilization programs (NSP). Technical report, U.S. Department of Housing and Urban Development, Washington, DC.Google Scholar
  • Swanstrom T, Chapple K, Immergluck D (2009) Regional resilience in the face of foreclosures: Evidence from six metropolitan areas. Working paper, University of California, Berkeley, Berkeley.Google Scholar
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