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Natural Disasters and Insurance Markets

Paper Session

Saturday, Jan. 3, 2026 2:30 PM - 4:30 PM (EST)

Philadelphia Convention Center, 309
Hosted By: American Economic Association
  • Chair: Mallick Hossain, Federal Reserve Bank of Philadelphia

Pricing Protection: Credit Scores, Disaster Risk, and Home Insurance Affordability

Joshua Blonz
,
Federal Reserve Board
Mallick Hossain
,
Federal Reserve Bank of Philadelphia
Benjamin Keys
,
University of Pennsylvania
Philip Mulder
,
University of Wisconsin-Madison
Joakim Weill
,
Federal Reserve Board

Abstract

We study how location and household characteristics determine homeowners insurance pricing. Using 70 million policies linked to mortgages and property-level disaster risk, we show that credit scores impact premiums as much as disaster risk. Leveraging a temporary ban on credit-based pricing in Washington State, we find that the direct use of credit information explains most of this pricing variation. Insurance premiums act as a “second credit channel” and are as important as mortgage rates in driving housing cost variation across credit scores. We discuss mechanisms behind the role of credit information and their implications for housing affordability and exposure to disasters.

The Hidden Inflation in Homeowners' Insurance

Natee Amornsiripanitch
,
Federal Reserve Bank of Philadelphia
Siddhartha Biswas
,
Federal Reserve Bank of Philadelphia
Mallick Hossain
,
Federal Reserve Bank of Philadelphia
Sinjeong Kim
,
Pennsylvania State University

Abstract

Rising homeowners’ insurance prices and household coverage adjustments may leave households paying more for less protection. Using a novel anonymized dataset of mortgages linked to detailed insurance policies, we study the increase in the true cost of insurance and estimate household insurance demand elasticities. We construct a quality-adjusted price index that tracks the counterfactual price change of renewing the same policy terms from the existing insurer. Adjusting for quality, price growth is 8 percentage points higher than premium expenditure growth from 2013 to 2022. Demand elasticities for household deductible, nominal coverage limit, and insurer choice with respect to price changes are small. However, as nominal coverage remains flat and home values increase, coverage relative to structure value decreases as price increases. These sensitivities are larger when households purchase a home, refinance, or learn updated property values, suggesting that inattention and information frictions play a large role in the small elasticities that we estimate. Higher premiums can increase housing and debt service costs, while higher deductibles and lagging coverage expose households to both small and large expense shocks that can increase default risks and household wealth loss. Credit utilization results suggest that households self insure when faced with higher insurance costs, but we find no evidence for financial distress. Results related to inattention and information frictions suggest that behavioral nudges and frequent property assessments may be more effective reducing household exposure than price-based policies.

Property Insurance and Disaster Risk: New Evidence from Mortgage Escrow Data

Benjamin Keys
,
University of Pennsylvania
Philip Mulder
,
University of Wisconsin-Madison

Abstract

We develop a new dataset to study homeowners insurance using over 74 million premiums from 2014–2024 inferred from mortgage escrow payments. We document rapidly rising premiums and a doubling of the pass-through from disaster risk into premiums. Using variation in correlated wildfire and hurricane exposure, we show that the increase in the risk-to-premium gradient was accelerated by a repricing of catastrophic risk in global capital markets. Premium increases are capitalized into home values, reducing home price growth by over $40,000 in the most exposed zipcodes. The premium and home price effects are larger in areas facing rising climate risk.

Discussant(s)
Nam Nguyen
,
Stanford University
Cameron Ellis
,
University of Iowa
Daniel Hartley
,
Federal Reserve Bank of Chicago
JEL Classifications
  • G5 - Household Finance
  • Q5 - Environmental Economics