This study examines residential catastrophe‐insurance quotations in Italy using 1512 property profiles collected from one insurer in 2025 across 108 provincial quotation units. Each profile contains earthquake and flood amounts; dwelling types and floor‐area values repeat across units. Peril‐specific Gamma‐log models relate these amounts to independently sourced provincial hazard, adjusting for recorded property characteristics and region fixed effects. A one‐standarddeviation difference across the 108 units in the relevant hazard measure is associated with a conditional quotation ratio of 1.970 for earthquake (95% confidence interval 1.658–2.341) and 1.360 for flood (1.216–1.520). Alternative estimators, measures, and dependence adjustments retain positive associations, while splines indicate non‐constant local relationships. The contribution is a paired, repeated‐profile comparison of geographic differentiation in offered cover, distinct from purchased policies or modeled insurance costs. These estimates describe one insurer's offers; they do not establish actuarial rate adequacy or the causes of household non‐participation.

Geographic hazard and residential catastrophe insurance quotations: Evidence From Italy.

Quaranta, A. G.;Rigamonti Osorno, G.
2026-01-01

Abstract

This study examines residential catastrophe‐insurance quotations in Italy using 1512 property profiles collected from one insurer in 2025 across 108 provincial quotation units. Each profile contains earthquake and flood amounts; dwelling types and floor‐area values repeat across units. Peril‐specific Gamma‐log models relate these amounts to independently sourced provincial hazard, adjusting for recorded property characteristics and region fixed effects. A one‐standarddeviation difference across the 108 units in the relevant hazard measure is associated with a conditional quotation ratio of 1.970 for earthquake (95% confidence interval 1.658–2.341) and 1.360 for flood (1.216–1.520). Alternative estimators, measures, and dependence adjustments retain positive associations, while splines indicate non‐constant local relationships. The contribution is a paired, repeated‐profile comparison of geographic differentiation in offered cover, distinct from purchased policies or modeled insurance costs. These estimates describe one insurer's offers; they do not establish actuarial rate adequacy or the causes of household non‐participation.
2026
Wiley
Internazionale
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11393/383672
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