Abstract
Catastrophic risks associated with natural disasters have been increasing in many countries including the United States because more individuals and firms have located in harm’s way while not taking appropriate protective measures. This chapter addresses ways to reduce future losses by first focusing on behavioral biases that lead homeowners and decision-makers not to invest in adequate protection. It then turns to developing proposals for risk management strategies that involve private–public partnerships. These include multiyear insurance contracts with risk-based premiums coupled with mitigation loans and insurance vouchers to address affordability concerns for low-income homeowners, tax incentives, well-enforced building codes and land-use regulations.
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Notes
- 1.
Catastrophes are classed as “great” if the ability of the region to help itself is overtaxed, making inter-regional or international assistance necessary. This is normally the case when thousands of people are killed, hundreds of thousands made homeless or when a country suffers substantial economic losses.
- 2.
On the question of protection of critical infrastructures, see Auerswald et al. (2006).
- 3.
- 4.
See Cummins, Suher, and Zanjani (2010) for a more systematic analysis of government exposure to extreme events.
- 5.
Moss (2002; 2010) and Eisensee and Stromberg (2007) have shown the critical role played by increasing media coverage of disasters in increasing government relief in the United States. See Kunreuther and Miller (1985) for a discussion on the evolution of disaster relief in the 1980s. See also Raschky and Schwindt (2009) and Jaffee and Russell (2012).
- 6.
It is surprising how little data are publicly available on how much victims of disaster actually receive as direct aid. The Federal Emergency Management Agency (FEMA) has a series of disaster relief programs, but most of them are loan based (e.g. Small Business Administration’s program). This can address the liquidity issues that victims and their families face after a disaster, but does not transfer the loss to a third party, as insurance does.
- 7.
See Browne and Hoyt (2000) for a discussion of the notion of “charity hazard.”
- 8.
There are other insurance programs in which the liability of the federal government is very significant as well, such as flood insurance, crop insurance, and terrorism risk. See Brown (2010) for a review.
- 9.
The analysis was undertaken by Mark Pauly.
- 10.
For our Florida analysis, we assumed that the homes met the standards of the “Fortified…for Safer Living” program. Information on this program is available on the website of the Institute for Business and Home Safety at www.disastersafety.org as of June 2012. The benefit analysis was undertaken by the authors in partnership with Risk Management Solutions (RMS). For more detail about the methodology, see Kunreuther and Michel-Kerjan (2011).
- 11.
Insurers are typically more proactive at working with their commercial clients to reduce their exposure. Those prices are not regulated and the premium for each contract is typically fairly substantial, providing an incentive for the insurers to inspect each commercial building it covers (Auerswald et al. 2006)
- 12.
This section is based on Kunreuther, Meyer, and Michel-Kerjan (2013).
- 13.
- 14.
Tax incentive programs such as this one should encourage homeowners to take out a larger deductible on their insurance policy and contribute more to the Catastrophe Savings Account. In the process they pay lower insurance premiums and lower taxes at the same time. The insurer benefits by having lower claims following a disaster. If many homeowners take advantage of this program by raising their deductible, the insurer’s catastrophic exposure could be significantly reduced.
- 15.
More recent building codes were established in 2004, then in 2007. See www.FloridaBuilding.org.
- 16.
This proposal for risk-based premiums and means-tested vouchers are part of the Biggest-Waters Flood Insurance Reform Act that reauthorized the NFIP for five years in July 2012.
- 17.
This subsection is based on Kunreuther (2005).
- 18.
This document was proposed by the OECD Secretary-General Board on Financial Management of Catastrophes that has been advising the head of the organization and the governments of member countries since its inception in 2006.
- 19.
More details on this program can be found at http://www.frac.org/html/federal_food%7B_%7Dprograms/programs/fsp.html.
- 20.
For instance, at the end of August 2007, Secretary of Health and Human Services (HHS) Mike Leavitt announced that $50 million in emergency energy assistance would be given to 12 states that experienced much hotter than normal conditions during the summer.
- 21.
For more details on this program, see U.S. Department of Health and Human Services at http://www.acf.hhs.gov/programs/liheap/
- 22.
For more details on this program see http://www.usac.org/about/universal-service as of October 2011.
References
Arrow K (1963) Uncertainty and the welfare economics of medical care. Am Econ Rev 53(5):941–973
Association of Bay Area Governments (2002) City and county mitigation of earthquake hazards and risks. Results from a questionnaire sent to bay area cities and counties. Oakland, CA
Auerswald P, Branscomb L, La Porte T, Michel-Kerjan E (2006) Seeds of disasters, roots of response. how private action can reduce public vulnerability. Cambridge University Press, New York
Baker E, Broad K, Czajkowski J, Meyer R, Orlove B (2012) Risk Perceptions and preparedness among mid-Atlantic coastal residents in advance of Hurricane Sandy, Working Paper, Wharton Risk Management Center 2012–2018
Brinkley D (2006) The great deluge: Hurricane Katrina, New Orleans, and the Mississippi Gulf Coast. Harper Collins, New York
Brown J (2010) Public insurance and private markets AEI Press, Washington, DC
Browne MJ, Hoyt RE (2000) “The demand for flood insurance: empirical evidence.” J Risk Uncertainty 20(3):291–306
Burby R (2006) “Hurricane Katrina and the paradoxes of government disaster policy: bringing about wise governmental decisions for hazardous areas.” Ann Am Acad Polit Soc Sci 604:171–191
Burby R, Bollens S, Kaiser E, Mullan D, Sheaffer J (1988) Cities under water: a comparative evaluation of ten cities’ efforts to manage floodplain land use. Institute of Behavioral Science, University of Colorado, Boulder, CO
Cabantous L, Hilton D, Kunreuther H, Michel-Kerjan E (2011) “Is imprecise knowledge better than conflicting expertise? Evidence from insurers’ decisions in the United States.” J Risk Uncertainty 42(93):211–232
Camerer C, Kunreuther H (1989) “Decision processes for low probability events: policy implications.” J Policy Anal Manag 8:565–592
CBC News (2010) “The world’s worst natural disasters. Calamities of the 20th and 21st centuries.” August 30
Crossett KM, Culliton TJ, Wiley PC, Goodspeed TR (2004) Population trends along the coastal United States: 1980–2008. National Oceanic and Atmospheric Administration, Silver Spring, MD
Cummins D, Suher M, Zanjani G (2010) “Federal financial exposure to natural catastrophe risk.” In: Lucas D (ed) Measuring and managing federal financial risk. National Bureau of Economic Research. University of Chicago Press, Chicago
Dixon L, Clancy N, Seabury SA, Overton A (2006) The national flood insurance program’s market penetration rate: estimates and policy implications RAND Corporation, Santa Monica, CA
Eisensee T, Stromberg D (2007) “News floods, news droughts, and US disaster relief.” Q J Econ 122(92):693–728
Federal Emergency Management Agency (FEMA) (1998) Retrofitting: Six Ways To Prevent Your Home From Flooding. Federal Emergency Management Agency, Washington, DC
Goodnough A (2006) “As hurricane season looms, state aim to scare.” The New York Times, May 31
Government of India, Ministry of Home Affairs (2004) Disaster Management of India, New Delhi
Grace M, Klein R (2002) “Natural disasters and the supply of home insurance.” Prepared for The National Association of Realtors
Hogarth R, Kunreuther H (1995) “Decision making under ignorance: arguing with yourself.” J Risk Uncertainty 10:15–36
Hood J (2005) “A policy of deceit.” New York Times November 19 p. A27
Huber O, Wider R, Huber O (1997) “Active information search and complete information presentation in naturalistic risky decision tasks.” Acta Psychol 95:15–29
Institute for Business and Home Safety (IBHS) (2007) The benefits of modern wind resistant building codes on hurricane claim frequency and severity—a summary report
Institute for Business and Home Safety (IBHS) (2012) Rating the states: an assessment of residential building codes and enforcement systems for life safety and property protection in hurricane prone regions
Insurance Services Office (1994) The impact of catastrophes on property insurance. Insurances Services Office, New York, NY
Jaffee D, Kunreuther H, Michel-Kerjan E (2010) “Long term property insurance (LTI) for addressing catastrophe risk.” J Insur Regul 29(07):167–187
Jaffee D, Russell T (2012) “The welfare economics of catastrophic loss.” Presented at NBER Universities-Research Conference on Insurance Markets and Catastrophe Risk, May 11–12, 2012
Kahneman D (2011) Thinking, fast and slow. Farrar, Strauss and Geroux, New York
Kahneman D, Tversky A (1979) “Prospect theory: An analysis of decision under risk.” Econometrica 47(2):263–291
King R (2013) The National Flood Insurance Program: status and remaining issues for Congress, Congressional Research Service, 7-5700 R42850, p 6
Klein RW (2007) “Catastrophe risk and the regulation of property insurance: a comparative analysis of five states.” Working paper, Georgia State University
Kriesel W, Landry C (2004) “Participation in the national flood insurance program: an empirical analysis for coastal properties.” J Risk Insur 71(3):405–420
Kunreuther H (1996) “Mitigating disaster losses through insurance.” J Risk Uncertainty 12:171–187
Kunreuther H (2005) “Has the time come for comprehensive natural disaster insurance?” In: Daniels R, Kettle D, Kunreuther H (eds) On risk and disaster: lessons from hurricane Katrina. University of Pennsylvania Press, Philadelphia
Kunreuther H, Ginsberg R, Miller L, Sagi P, Slovic P, Borkan B, Katz N (1978) Disaster insurance protection: public policy lessons. Wiley, New York
Kunreuther H, Meszaros J, Hogarth RM, Spranca M (1995) “Ambiguity and underwriter decision processes.” J Econ Behav Organ 26(3):337–352
Kunreuther H, Meyer R, Michel-Kerjan E (2013) “Overcoming decision biases to reduce losses from natural catastrophes.” In: Shafir E (ed) Behavioral foundations of policy, Princeton University Press, Princeton, Chapter 23, pp 398–413
Kunreuther H, Michel-Kerjan E (2004) “Challenges for terrorism risk insurance in the United States.” J Econ Perspect 18(4):201–214
Kunreuther H, Michel-Kerjan E (2010) “From market to government failure in insuring U.S. natural catastrophes: how can long-term contracts help.” In: Brown J (ed) Private markets and public insurance programs. American Enterprise Institute Press, Washington, D.C
Kunreuther H, Michel-Kerjan E (2011) At War with the Weather: managing large-scale risks in a new era of catastrophes. MIT Press. Paperback edition
Kunreuther H, Miller L (1985) “Insurance versus disaster relief: an analysis of interactive modeling for disaster policy planning.” Publ Admin Rev 45:147–154
Kunreuther H, Onculer A, Slovic P (1998) “Time insensitivity for protective measures.” J Risk Uncertainty 16:279–299
Kunreuther H, Pauly M, McMorrow S (2013) Insurance and Behavioral Economics: Improving Decisions in the Most Misunderstood Industry. Cambridge University Press, New York
Laibson D (1997) “Golden eggs and hyperbolic discounting.” Q J Econ 112:443–477
Laska SB (1991) Floodproof retrofitting: homeowner self-protective behavior. Institute of Behavioral Science, University of Colorado, Boulder, CO
Litan R, Krimgold F, Clark K, Khadilkar J (1992) Physical damages and human loss: the economic impact of earthquake mitigation measures. Insurance Information Insitute Press, New York
Loewenstein G, O’Donoghue T, Rabin M (2003) “Projection bias in predicting future utility.” Q J Econ 118(4):1209–1248
Loewenstein G, Prelec D (1992) “Anomalies in intertemporal choice: evidence and an interpretation.” Q J Econ 107(2):573–597
Magat W, Viscusi KW, Huber J (1987) “Risk-dollar tradeoffs, risk perceptions, and consumer behavior.” In: Viscusi W, Magat W (eds) Learning about risk. Harvard University Press, Cambridge, MA, pp 83–97
McClelland G, Schulze W, Coursey D (1993) “Insurance for low-probability hazards: a bimodal response to unlikely events.” J Risk Uncertainty 7:95–116
Mechler R (2003) “Macroeconomic impacts of natural disasters.” http://info.worldbank.org/etools/docs/library/114715/istanbul03/docs/istanbul03/03mechler3-n%7B%%7D5B1%7B%%7D5D.pdf
Meyer R, Zhao S, Han J (2008) “Biases in valuation and usage of innovative product features.” Market Sci 27(6):1083–1096
Michel-Kerjan E (2008) “Disasters and public policy: can market lessons help address government failures.” In: Proceedings of the 99th National Tax Association Conference, Boston, MA
Michel-Kerjan E (2010) “Catastrophe economics: The U.S. national flood insurance program.” J Econ Perspect 24(4):165–86
Michel-Kerjan E (2012) How resilient is your country? Nature 491(7425):497
Michel-Kerjan E, Lemoyne de Forges S, Kunreuther H (2012) “Policy tenure under the U.S. national flood insurance program.” Risk Anal 32(4):644–658
Michel-Kerjan E, Kunreuther H (2011) “Reforming flood insurance.” Science 333(6041):408–409
Michel-Kerjan E, Volkman Wise J (2011) “The risk of ever-growing disaster relief expectations.” In: Paper presented at the annual NBER Insurance Group conference, Cambridge, MA, September 2011. Accessible at: shttp://nber.org/confer/2011/INSf11/Michel-Kerjan_Volkman%7B_%7DWise.pdf
Moss D (2002) When all else fails. The government as the ultimate risk manager. Harvard University Press, Cambridge, MA
Moss D (2010) “The peculiar politics of American disaster policy: how television has changed federal relief.” In: Michel-Kerjan E, Slovic P (eds) The irrational economist, Chap. 18, 151–160. PublicAffairs Books, New York
Munich Re (2013) Topics geo. Natural catastrophes 2012, Report. Munich Re, Munich
OECD (2008) Financial management of large-scale catastrophes. Policy Issues in Insurance no12. Organization for Economic Cooperation and Development, Paris
OECD (2009) Natural hazard awareness and disaster risk reduction-OECD policy handbook. Organization for Economic Cooperation and Development, Paris
OECD (2010) OECD recommendation: Good practices for mitigating and financing catastrophic risks. Organization for Economic Cooperation and Development, Paris
Oberholzer-Gee F (1998) “Learning to bear the unbearable: towards and explanation of risk ignorance.” Wharton School, University of Pennsylvania, Mimeo
Palm R, Hodgson M, Blanchard RD, Lyons D (1990) Earthquake insurance in California: environmental policy and individual decision making. Westview Press, Boulder, CO
Raschky P, Schwindt M (2009) “Aid, natural disasters and the Samaritan’s dilemma.” Policy Research Working Paper 4952. The World Bank, Washington, DC
Reeves A (2004) “Plucking votes from disasters.” Los Angeles Times, May 12
Reeves A (2005) “Political disaster? Electoral politics and presidential disaster declarations,” Work in progress. Kennedy School of Government, Harvard University, Cambridge, MA
Schade C, Kunreuther H, Koellinger P (2011) “Protecting against low probability disasters: the role of worry.” J Behav Decis Making 25(5):534–543
Slovic P, Fischhoff B, Lichtenstein S (1978) “Accident probabilities and seat belt usage: a psychological perspective.” Accid Anal Prev 10:281:285
Slovic P, Monahan J, MacGregor DG (2000) “Violence risk assessment and risk communication: The effects of using actual cases, providing instruction, and employing probability versus frequency formats.” Law Hum Behav 24:271–296
Swiss Re (2011) Sigma 1/2011: Natural catastrophes and man-made disasters in 2010
Swiss Re (2013) Sigma 2/2013: Natural Catastrophes and man-made disasters in 2012
Thaler R (1999) “Mental accounting matters.” J Behav Decis Making 12:183–206
Tobin R, Calfee C (2005) “The National Flood Insurance Program’s mandatory purchase requirement: Policies, processes, and stakeholders.” American Institutes for Research, Washington, DC
Towers Perrin (2005) “Hurricane Katrina: analysis of the impact on the insurance industry.” Available online at http://www.towersperrin.com/tillinghast/publications/reports/Hurricane_Katrina/katrina.pdf
Trope Y, Liberman N (2003) “Temporal construal.” Psychol Rev 110(3):403–421
Tversky A, Shafir E (1992) “Choice under conflict: The dynamics of deferred decision.” Psychol Sci 3(6):358–361
United Nations Development Programme (UNDP) (2004) Bureau for Crisis Prevention and Recovery. A global report: reducing disaster risk, a challenge for development http://www.undp.org/cpr/whats_new/rdr%7B_%7Denglish.pdf
United Nations International Strategy for Disaster Reduction (UNISDR)/World Bank (2011) Global assessment report on disaster risk reduction. Rogers D, Tsirkunov V (2010) “Costs and benefits of early warning systems” In: UNISDR/World Bank (2011). Global Assessment Report on Disaster Risk Reduction. http://www.preventionweb.net/english/hyogo/gar/report/index.php?id=9413
Weinstein N, Kolb K, Goldstein B (1996) “Using time intervals between expected events to communicate risk magnitudes.” Risk Anal 16:305–308
White GF (1945) Human adjustment to floods. Department of Geography research paper no. 29. The University of Chicago, Chicago
White House (2007) Economic report of the President. Council of Economic Advisors, Washington, DC
Wilson TD, Gilbert DT (2003) “Affective forecasting.” In: Zanna M (ed) Advances in experimental social psychology, vol. 35. Elsevier, New York, pp 345–411
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Kunreuther, H., Michel-Kerjan, E. (2013). Managing Catastrophic Risks Through Redesigned Insurance: Challenges and Opportunities. In: Dionne, G. (eds) Handbook of Insurance. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0155-1_19
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