This post is part of a series sponsored by CoreLogic.
It’s About Protecting Homeowners and More
Most people understand that the goal of a homeowner’ policy is to restore a home and possessions to the way they were should a natural or not-so natural disaster strike. If the coverage is too low, the homeowner may not have enough to fully cover the losses incurred.
Although protecting homeowners is the primary reason Insurance to Values (ITVs) or structure replacement coverages should be as accurate as possible, there are other potential impacts of getting ITV wrong:
- Undervaluing properties for many years creates problems beyond the one-time hit on individual claims. This issue is especially exposed during CAT events when even partial losses quickly exhaust coverage limits.
- Inadequate insurance valuation keeps coverage limits artificially low. And if the problem lies with the valuation provider, policyholders may be left without adequate coverage in their time of need. Depending on the policy, either the homeowner or carrier could face unexpected rebuilding costs for underinsured properties.
- Insurance companies risk losing loyal customers. They also risk incurring online wrath from dissatisfied policyholders via social media and consumer review sites, which can drive away future business.
Today’s best practice for reconstruction cost estimating or Insurance valuation uses information specific to each home and its location along with detailed and extensive construction knowledge to create an estimate—a method similar to those used by builders. Current localized costs of labor and building materials are applied to create a cost estimate that is unique to the specific home at the time of the estimate. This produces objective estimates without the inaccuracies that are introduced by subjective quality judgments or unsophisticated estimating tools.
Accurately estimating reconstruction costs requires an estimation tool that was designed upon a thorough understanding of construction techniques and the interplay of building characteristics as well as up-to-date, localized material and labor costs. It requires a solution that is widely considered the prevailing benchmark for reconstruction cost estimating.
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