Homeowners insurance with bundled catastrophe coverage

Abstract

We estimate the demand for homeowners insurance in Florida and New York with indicated loss costs as our proxy for the quantity of real insurance services demanded. We decompose the demand into the demand for coverage of catastrophe perils and the demand for noncatastrophe coverage and estimate these demand functions separately. Our results are relatively consistent in New York and Florida, including evidence that catastrophe demand is more price elastic than noncatastrophe demand. We also find evidence that consumers value options that expand coverage, buy more insurance when it is subsidized through regulatory price constraints, and consider state guaranty fund provisions when purchasing insurance.