Howard Kunreuther
· James G. Dinan Professor Emeritus of Operations, Information and Decisions, Co-Director Emeritus, Risk Management and Decision Processes CenterUniversity of Pennsylvania · Design, Analysis and Management of Information Systems
Active 1966–2023
Research topics
- Computer Science
- Microeconomics
- Economics
- Actuarial science
- Finance
- Psychology
- Geography
- Econometrics
- Epistemology
- Business
Selected publications
Default options and insurance demand
Journal of Economic Behavior & Organization · 2021 · 24 citations
- Actuarial science
- Economics
- Business
Default options may provide a low-cost way of influencing behaviour without modifying incentives and constraining choices between alternatives. However, an improved understanding is needed on whether they are effective when individuals have experience with making the choice in practice and have preferences for specific alternatives. We study whether defaults can be used to increase insurance coverage against low-probability/high-impact risks, like floods, and whether past flood insurance purchases and flooding experience moderate the effect of defaults. Our study uses a naturally occurring difference in experience, comparing the surveyed flood insurance choices of 1,187 homeowners, half of whom are in the Netherlands, where flood insurance penetration rates are low and recent flooding caused minor losses, and the other half of whom are in the United Kingdom (UK), where the opposite is true. We find defaults are effective amongst homeowners with little to no flood-related experience: in the Netherlands defaults increase the likelihood of insuring by between 17 and 18 percentage points. Although there is no overall effect of defaults in the UK, defaults increase flood insurance coverage for risk averse individuals, and those who have no reported previous flood experience and have not purchased flood insurance. Anticipated regret about not having insurance coverage in the event of a flood, and perceptions about the insurance cost explain between 34 and 37 percent of the relationship between the default and flood insurance demand. We discuss policy implications of our findings.
Broad bracketing for low probability events
Journal of Risk and Uncertainty · 2020 · 12 citations
Senior authorCorresponding- Computer Science
- Econometrics
- Actuarial science
Abstract Individuals tend to underprepare for rare, catastrophic events because of biases in risk perception. A simple form of broad bracketing—presenting the cumulative probability of loss over a longer time horizon—has the potential to alleviate these barriers to accurate risk perception and increase protective actions such as purchasing flood insurance. However, it is an open question whether broad bracketing effects last over time: There is evidence that descriptive probability information is ignored when decisions are based on “experience” (repeatedly and in the face of feedback), which characterizes many protective decisions. Across six incentive-compatible experiments with high stakes, we find that the broad bracketing effect does not disappear or change size when decisions are made from experience. We also advance our understanding of the mechanisms underlying broad bracketing, finding that, while cumulative probability size is a strong driver of the effect, this is dampened for larger brackets leading people to be less sensitive to probability size.
Recent grants
Frequent coauthors
- 96 shared
Erwann Michel‐Kerjan
McKinsey & Company (United States)
- 50 shared
Mark V. Pauly
National Bureau of Economic Research
- 45 shared
Paul R. Kleindorfer
- 35 shared
Geoffrey Heal
Columbia University
- 29 shared
Carolyn Kousky
Environmental Defense Fund
- 28 shared
Joanne Linnerooth
- 28 shared
Douglas Easterling
Wake Forest University
- 27 shared
Michiel Schwarz
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