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Cited by 476

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States

Open access
Gallagher, Justin·2014·American Economic Journal: Applied Economics
DOI 10.1257/app.6.3.206
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Abstract

I examine the learning process that economic agents use to update their expectation of an uncertain and infrequently observed event. I use a new nation-wide panel dataset of large regional floods and flood insurance policies to show that insurance take-up spikes the year after a flood and then steadily declines to baseline. Residents in nonflooded communities in the same television media market increase take-up at one-third the rate of flooded communities. I find that insurance take-up is most consistent with a Bayesian learning model that allows for forgetting or incomplete information about past floods. (JEL D12, D83, D84, G22, Q54)

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Research works printed but not linked: 27

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Metadata

Authors
Gallagher, J.
Venue
American Economic Journal: Applied Economics
Publisher
American Economic Association
Published
2014-07-01
Volume
6
Issue
3
Pages
206-233
ISSN
  • 1945-7782 (ISSN-L)
  • 1945-7790
DOI
10.1257/app.6.3.206
OpenAlex
W2041961720
Cited by
476
References
3
FWCI
50.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States. https://app.cochat.ai/papers/10.1257/app.6.3.206
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Gallagher, J. (2014). Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States. American Economic Journal: Applied Economics. https://doi.org/10.1257/app.6.3.206

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