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Measuring Heterogeneous Price Effects for Home Acquisition Programs in At‐Risk Regions

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  • Eugene Frimpong
  • Jamie Kruse
  • Gregory Howard
  • Rachel Davidson
  • Joseph Trainor
  • Linda Nozick

Abstract

Any entity offering flood insurance, whether it is private or government‐administered such as the National Flood Insurance Program (NFIP), faces the challenge of solvency. This is especially true for the NFIP, where homeowner affordability criteria limit the opportunity to charge fully risk‐based premiums. One solution is to remove the highest flood risk properties from the insurer's book of business. Acquisition (buyout) of flood‐prone structures is a potentially permanent solution that eliminates the highest risk properties while providing homeowners with financial assistance to relocate in a less risky location. To encourage participation, homeowners are offered a preflood fair market value of their damaged (or at risk of damage) structures. Although many factors have been shown to affect a homeowner's decision to accept an acquisition offer, very little research has been devoted to the influence of price or monetary incentive offered on homeowners' willingness to participate in acquisition programs. We estimate a pooled probit model and employ a bootstrap methodology to determine the effects of hypothetical home price offers on homeowners' acquisition decisions. We do so while controlling for environmental factors, property characteristics, and homeowner sociodemographic characteristics. Results show that price indeed has a positive effect on likelihood of accepting an acquisition contract. Furthermore, estimated homeowner supply curves differ significantly based on the damage status of the acquisition offer, as well as homeowner and property characteristics.

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  • Eugene Frimpong & Jamie Kruse & Gregory Howard & Rachel Davidson & Joseph Trainor & Linda Nozick, 2019. "Measuring Heterogeneous Price Effects for Home Acquisition Programs in At‐Risk Regions," Southern Economic Journal, John Wiley & Sons, vol. 85(4), pages 1108-1131, April.
  • Handle: RePEc:wly:soecon:v:85:y:2019:i:4:p:1108-1131
    DOI: 10.1002/soej.12341
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    References listed on IDEAS

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    1. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    2. Alex Greer & Sherri Brokopp Binder, 2017. "A Historical Assessment of Home Buyout Policy: Are We Learning or Just Failing?," Housing Policy Debate, Taylor & Francis Journals, vol. 27(3), pages 372-392, May.
    3. Yohannes Kesete & Jiazhen Peng & Yang Gao & Xiaojun Shan & Rachel A. Davidson & Linda K. Nozick & Jamie Kruse, 2014. "Modeling Insurer‐Homeowner Interactions in Managing Natural Disaster Risk," Risk Analysis, John Wiley & Sons, vol. 34(6), pages 1040-1055, June.
    4. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
    5. Sherri Brokopp Binder & Alex Greer, 2016. "The Devil Is in the Details: Linking Home Buyout Policy, Practice, and Experience After Hurricane Sandy," Politics and Governance, Cogitatio Press, vol. 4(4), pages 97-106.
    6. Daniel R. Petrolia & Joonghyun Hwang & Craig E. Landry & Keith H. Coble, 2015. "Wind Insurance and Mitigation in the Coastal Zone," Land Economics, University of Wisconsin Press, vol. 91(2), pages 272-295.
    7. Jiazhen Peng & Xiaojun Shan & Yang Gao & Yohannes Kesete & Rachel Davidson & Linda Nozick & Jamie Kruse, 2014. "Modeling the integrated roles of insurance and retrofit in managing natural disaster risk: a multi-stakeholder perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1043-1068, November.
    8. Christian Vossler & Gregory Poe & P. Welsh & Robert Ethier, 2004. "Bid Design Effects in Multiple Bounded Discrete Choice Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 29(4), pages 401-418, December.
    9. Yang Gao & Linda Nosick & Jamie Kruse & Rachel Davidson, 2016. "Modeling Competition in a Market for Natural Catastrophe Insurance," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 39(1), pages 38-68.
    10. Cameron, Trudy Ann & Huppert, Daniel D., 1989. "OLS versus ML estimation of non-market resource values with payment card interval data," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 230-246, November.
    11. Wang, Hua & Whittington, Dale, 2005. "Measuring individuals' valuation distributions using a stochastic payment card approach," Ecological Economics, Elsevier, vol. 55(2), pages 143-154, November.
    12. Lutz Kilian & Yun Jung Kim, 2011. "How Reliable Are Local Projection Estimators of Impulse Responses?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1460-1466, November.
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    1. Cen Guo & Linda Nozick & Jamie Kruse & Meghan Millea & Rachel Davidson & Joseph Trainor, 2022. "Dynamic modeling of public and private decision‐making for hurricane risk management including insurance, acquisition, and mitigation policy," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(2), pages 173-199, June.
    2. Vladan Pavlovic & Goranka Knezevic & Antonio Andre Cunha Callado, 2022. "Is the Corporate Solvency Conundrum Primarily a Balkan Issue or a Broader European Continental Misunderstanding?," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 72-93.
    3. Landry, Craig & Syphers, Steven & Keeler, Andrew, 2022. "Preferences for Post-storm Coastal Adaptation," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322385, Agricultural and Applied Economics Association.

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