Failing to learn from experience about catastrophes: The case of hurricane preparedness
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This paper explores the question of whether there are inherent limits to our ability to learn from experience about the value of protection against low-probability, high-consequence, events. Findings are reported from two controlled experiments in which participants have a monetary incentive to learn from experience making investments to protect against hurricane risks. A central finding is that investments display a short-term forgetting effect consistent with the use of reinforcement learning rules, where a significant driver of investments in a given period is whether storm losses were incurred in the precious period. Given the relative rarity of such losses, this reinforcement process produces a mean investment level below that which would be optimal for most storm threats. Investments are also found to be insensitive to the censoring effect of protection itself, implying that the size of experienced losses—rather than losses that are avoided—is the primary driver of investment decisions.
KeywordsDecision making under uncertainty Learning from experience Natural disasters
JEL ClassificationD8 D9 Q5
- Bajak, F. (2010). Chile was ready for quake, Haiti wasn’t. http://www.salon.com/news/2010/02/27/cb_tale_of_two_earthquakes)
- Brinkley, D. (2006). The great deluge: Hurricane Katrina, New Orleans, and the Mississippi Gulf Coast. New York: Harper Collins.Google Scholar
- Camerer, C., Ho, T-H., & Chong, J. K. (2001). Behavioral game theory: Thinking, learning and teaching. Paper presented at the Nobel Prize Symposium, Dec. 2001.Google Scholar
- Daniels, R. J., Kettl, D. F., & Kunreuther, H. (Eds.). (2006). On risk and disaster: Lessons from Hurricane Katrina. Philadelphia: University of Pennsylvania Press.Google Scholar
- Goldstein, D. G., Johnson, E. J., Herrmann, A., & Heitmann, M. (2008). Nudge your customers toward better choices. Harvard Business Review, 86(12), 99–105.Google Scholar
- Fudenberg, D., & Levine, D. (2000). The theory of learning in games. Cambridge: MIT Press.Google Scholar
- Kunreuther, H., Meyer, R. J., & Michel-Kerjan, E. (2012). Overcoming decision biases to reduce losses from natural disasters. In E. Shafir (Ed.), Behavioral Foundations of Policy. Princeton University Press.Google Scholar
- Meyer, R. (2006). Why we under-prepare for hazards. In R. J. Daniels, D. F. Kettl, & H. Kunreuther (Eds.), On risk and disaster: Lessons from Hurricane Katrina. Philadelphia: University of Pennsylvania Press.Google Scholar
- Meyer, R. J., & Hutchinson, J. W. (2001). Bumbling geniuses: The power of everyday reasoning on multi-state decision making. In S. Hoch & H. Kunreuther (Eds.), Wharton on making decisions. New York: Wiley.Google Scholar
- Michel-Kerjan, E., Lemoyne de Forges, S., & Kunreuther, H. (2012). Policy tenure under the federal flood insurance program. Risk Analysis, in press.Google Scholar
- Wilkinson, C. (2008). The California earthquake authority. Briefing, Insurance Information Institute, http://server.iii.org/yy_obj_data/binary/794172_1_0/CEA.pdf.