Disaster Resilience and Insurance

Risk
Insurance
FEMA data
Ex-ante mitigation, ex-post relief, correlated loss, affordability, and public backstops.
Author

Byeong-Hak Choe

Published

August 24, 2026

Economic puzzle

Insurance can pool idiosyncratic losses and signal risk, but disasters can damage many properties at once. Affordability rules, expected relief, mitigation, insurer capital, and location choices interact.

Question directions

  • How do disaster declarations, aid, and mitigation grants vary across hazards or places?
  • Can a means-tested subsidy preserve risk-based prices better than a broad premium cap?
  • When does a public backstop improve welfare, and which costs does it shift to taxpayers?
  • How do disclosure, building codes, or verified mitigation change take-up and expected loss?

Model hook

Start with actuarial expected loss, then add expenses, capital cost, and correlated claims:

\text{premium} =E[\text{claim}] +\text{administration} +\text{capital and reinsurance} +\text{margin}.

Keep insurance pricing, household affordability, and social risk reduction as three separate objectives.

Official starting evidence

  • OpenFEMA offers machine-readable downloads and APIs for declarations, assistance, mitigation, flood-insurance, and other program data.
  • The Disaster Declarations Summaries API provides declaration type, dates, incident type, and declared areas.
  • State insurance departments and local mitigation plans can supply market rules and implementation detail.

Feasible unit of analysis

Choose one hazard and a defined geography or policy change. A federal disaster declaration is an administrative outcome; it is not a complete measure of physical hazard, total loss, or household welfare.

WarningReading caution

Use TL Chapter 12 as the starting framework. Distinguish correlation from tail risk and identify the institutional assumptions behind each policy claim.

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