Literature DB >> 27576946

Disasters as Learning Experiences or Disasters as Policy Opportunities? Examining Flood Insurance Purchases after Hurricanes.

Carolyn Kousky.   

Abstract

Flood insurance is a critical risk management strategy, contributing to greater resilience of individuals and communities. The occurrence of disasters has been observed to alter risk management choices, including the decision to insure. This has previously been explained by learning and behavioral biases. When it comes to flood insurance, however, federal disaster aid policy could also play a role since recipients of aid are required to maintain insurance. Using a database of flood insurance policies for all states on the Atlantic and Gulf coasts of the United States between 2001 and 2010, this article uses fixed effects models to examine how take-up rates respond to the occurrence of hurricanes and tropical storms, as well as disaster declarations and aid requirements. Being hit by at least one hurricane in the previous year increases net flood insurance purchases by 7.2%. This effect dies out by three years after the storm. A presidential disaster declaration for floods increases take-up rates by 6.7%. When disaster aid grants are made available to households, take-up rates increase by 5%; this accounts for the majority of the increase in policies after occurrence of a hurricane. When the models are estimated taking into account which policies are required by disaster aid, hurricanes are estimated to lead to only a 1.5% increase in voluntary purchases. This overlooked federal policy that disaster aid recipients insure is responsible for a majority of insurance purchases postdisaster.
© 2016 Society for Risk Analysis.

Entities:  

Keywords:  Disaster aid; flood insurance; hurricanes

Year:  2016        PMID: 27576946     DOI: 10.1111/risa.12646

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  3 in total

1.  Projecting Changes in Expected Annual Damages From Riverine Flooding in the United States.

Authors:  C Wobus; P Zheng; J Stein; C Lay; H Mahoney; M Lorie; D Mills; R Spies; B Szafranski; J Martinich
Journal:  Earths Future       Date:  2019-04-08       Impact factor: 7.495

2.  Quantifying community resilience based on fluctuations in visits to points-of-interest derived from digital trace data.

Authors:  Cristian Podesta; Natalie Coleman; Amir Esmalian; Faxi Yuan; Ali Mostafavi
Journal:  J R Soc Interface       Date:  2021-04-28       Impact factor: 4.118

3.  The extreme gendering of COVID-19: Household tasks and division of labour satisfaction during the pandemic.

Authors:  Timothy J Haney; Kristen Barber
Journal:  Can Rev Sociol       Date:  2022-08-10
  3 in total

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