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Learning about an Infrequent Event

Evidence from Flood Insurance Take-Up in the United States

Datos Bibliográficos

ID19603268
AutoresJustin Gallagher (0000-0002-3341-175X, Case Western Reserve University, autor de correspondencia)
Año2014
Volumen6
Número3
Páginas206-233
Fecha de publicación2014-07-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaAmerican Economic Journal Applied Economics (JOURNAL)
Identificadores de la revistaISSN: 1945-7790 • E-ISSN: 1945-7782
EditorialAmerican Economic Association (PUBLISHER • US)
DOI10.1257/app.6.3.206
OpenAlexW2041961720
IdiomaEN
Citas recibidas70
Referencias citadas30

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)

Actuarial science · Cognitive psychology · Economics · Flood myth · Forgetting · Geography · Political science · Agricultural risk and resilience · Flood Risk Assessment and Management · Media Influence and Politics · Psychology

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Obras citantes distintas70
Citas por año5,83
Intervalo de citas2014 - 2026 (13)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 61
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