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Contents Chapter 6

Chapter 6

Who Pays After the Pool Runs Short

Public backstops can keep protection available, but their promises still need funding and fair rules.

By Kevin L. Michel8 minute read

At a town meeting, a resident asks a reasonable question. If the insurance market cannot cover the homes, will the government step in?

Another resident asks an equally reasonable question. Who will pay for that?

These should be parts of the same conversation. Too often they become rival positions before anyone has described the proposal. One side hears abandonment. The other hears an open-ended bill. The residents may agree on more than the debate allows: people need protection, and the protection needs a credible way to meet its promises.

A public backstop can be valuable. It can keep a difficult market from leaving households without a path. But public does not mean free, and a promise made by a government is not the same as damage prevented.

We need to follow the cost to the people who eventually supply the money. They may be policyholders, other insurance customers, taxpayers or future residents. The route depends on the particular program.

A last resort still has terms

When ordinary coverage is hard to obtain, some states have residual insurance arrangements, often called FAIR plans or beach plans. Their coverage, eligibility and funding differ. A plan designed to cover a particular peril may not replace every part of a broader homeowners policy. It must be read on its own terms.1

It is especially important to distinguish several events that are often grouped together as insurers leaving. An insurer can stop taking new customers while continuing to renew existing ones. It can decline to renew a policy at the end of its term. A cancellation ends a policy during its term. Insolvency is a different problem: the insurer cannot meet its obligations. The notice and the applicable rules determine what has actually happened.

For a household, the first response is practical. What is the date? What coverage remains until then? What alternatives are available? Does a replacement meet the lender’s requirements and the household’s own needs? Is another policy needed for an excluded peril? A frightening headline does not answer those questions for an individual contract.

The broader policy question is what happens if many households are moved into the last-resort pool. The system may preserve access to coverage while concentrating exposure. That is a reason to understand its funding, not a reason to assume it has already failed.

Florida’s Citizens Property Insurance Corporation offers a concrete example of contingent funding. Its published assessment explanation says a deficit can trigger a surcharge on its own policyholders. If a deficit remains, an emergency assessment can extend to assessable statewide property and casualty premiums, including many non-Citizens policies. These are specified funding mechanisms, not evidence that an assessment is currently being charged or that Citizens cannot pay present claims.2

The significant point is the reach of the promise. A person may help fund recovery through an insurance bill even when that person’s home was not damaged and the person was not insured by the same pool.

If that is how a system is designed, the connection should be understandable before a bad year. People deserve to know which obligations can appear later, and why.

Spreading a cost can be the right thing to do

There is nothing inherently wrong with people sharing losses. That is the purpose of insurance, and it is part of why communities have public institutions. We build roads together, respond to fires together and support people through circumstances they could not reasonably handle alone.

The hard questions concern the terms of sharing. Who is included? Who can afford the charge? Does the design encourage less damage over time? Are people asked to support a transition, or to fund an indefinite pattern with no plan to reduce risk?

Imagine a long-settled neighborhood whose residents have limited means to move. Now imagine a new high-cost development proposed on land with substantial exposure. A policy can treat the burdens of existing residents differently from the incentives for new construction. Helping one group does not logically require promising the same support for every new project.

This distinction matters because compassion is sometimes used as an argument against any limit, while financial discipline is used as an argument against any help. Neither is enough. A humane policy should make the reasons for assistance visible and ask what it changes.

If help lets a family make a documented safety improvement, there may be less damage to fund later. If it merely hides a cost while exposure grows, the future obligation may become harder. If help arrives only after damage, households may be unable to take worthwhile preventive steps beforehand.

These possibilities need evidence in the place where a policy will operate. They should not be reduced to the claim that all subsidies are good or that all subsidies are waste.

The model cannot choose our values for us

Jonathan Gruber and Adam Solomon’s 2026 flood-insurance working paper examines subsidies in a model with several imperfections at once. Insurance choices can affect public disaster spending, and future risk classifications are uncertain. Their preferred subsidy changes substantially when assumptions about future aid change. The calculation also depends on how funding, behavior and welfare are represented. It is a conditional policy model, not a universal rate a government has been shown to need. Its value here is to expose trade-offs that a simple demand for perfectly risk-based prices can miss.3

That last point deserves thought. A price that reflects one kind of cost may still operate inside a system with other costs and duties. If public aid will be provided after a disaster, a decision made before the disaster can affect that later expense. If people cannot readily move or finance improvements, a sudden price change can impose a severe transition burden even when the underlying risk is real.

At the same time, help financed by others has a cost of its own. Money used in one place is unavailable for another purpose. A design can protect one group while asking another group with little spare income to fund it. A policy model helps us organize these questions, but citizens still have to decide which outcomes and obligations they are willing to support.

I favor making the trade-offs explicit. State the people the program is meant to help. State the source of funds. State what the program expects to improve and how that improvement will be checked. Leave room to revise it when results differ from the plan.

That is more demanding than announcing a rescue. It is also more respectful of the people relying on it.

Risk-based is not the same as fair

An insurance price can include factors other than the physical danger to a home. Those factors affect who can afford protection and therefore deserve their own scrutiny.

A 2026 study by Joshua Blonz and colleagues examines credit-related insurance pricing. Alongside national comparisons, it uses a temporary Washington restriction to study premiums around policy renewal. The changes differed across credit groups; the design relies on comparisons following similar trends and renewal timing. The study did not detect short-run changes in its mortgage-delinquency outcome in that setting. Credit-related prices should not be treated as a moral score, and a ZIP-level association cannot explain an individual person’s behavior.4

The ethical question is wider than whether a factor helps predict claims. We also have to ask how it distributes access to a product that may be necessary to keep a mortgaged home. A person already under financial strain can face a price that leaves even less room.

There are difficult trade-offs here. Restricting a pricing factor may redistribute premiums among customers. It does not automatically reduce the pool’s total losses. That does not settle whether the restriction is fair; it tells us what else the policy discussion must include.

I would like debates about fairness to be this specific. Which people pay more, which pay less and why? What protection is available to someone who cannot meet the resulting price? Are there more direct ways to reduce the loss or help the household? A label such as risk-based should begin the explanation, not end it.

The town has a budget too

The household’s insurance contract is only one part of a place’s financial exposure. A town may have roads, drainage, public buildings and emergency services to maintain or restore. Residents may need those services just when ordinary activity is disrupted.

Consider a town planning for a flood-prone road. It can compare several options: improve drainage, change the road, alter access, accept some closures or combine measures. Each option has a cost and a purpose. The comparison should include who uses the road, how failures affect daily life and what upkeep the chosen work requires.

Now add a new housing proposal. The sale of each home brings private benefits to buyers and sellers. The roads and services supporting those homes may create obligations that last long after the transaction. Approving the development and planning its public costs should be connected decisions.

This is an argument for better accounting, not for declaring every exposed community unviable. A town can have strong reasons to invest in staying. It should know what that commitment requires and whether its funding plan can carry it.

Residents should be able to ask for a plain account: what assets are at risk, which work has been funded, which work remains a proposal, and who is responsible for maintenance? An announced project is not yet protection. A completed structure is not automatically a maintained one.

It is easy to celebrate a new drain or barrier on opening day. It is harder to keep a budget for inspection and care visible for the next twenty years. Yet that quieter work is part of the promise too.

Help should leave people with a next step

Public disaster assistance and insurance are different arrangements. The availability and scope of aid depend on the program and the event. A household should not assume that government help will replace all insurance or make every loss whole. It should check official eligibility, deadlines and the treatment of other payments when help is available.

Nor should we assume that a family receiving aid has been restored to its former position. A payment may meet a specific need while other needs remain. A repaired structure may still leave debt, lost work or a disrupted care arrangement. We should judge recovery by what people can actually do next, not only by money authorized or checks issued.

The same principle applies before a disaster. A household offered a mitigation grant may need help finding qualified work, meeting an upfront cost or managing a complicated application. A program can be well intended and difficult for the intended person to use. Its design should include the path from eligibility to completed work.

At the town meeting, the two residents still deserve answers. Will the government help? What help, for whom and under what conditions? Who pays? Through which fund, charge or tax, and for how long?

Answering both questions makes public support stronger. It lets people see the obligations they share and the losses they are working to prevent. A backstop should give a community a sounder future, not merely a way to postpone discussing the bill.

Footnotes

  1. GAO, Homeowners Insurance, 2026, background on residual markets. Eligibility, covered perils and funding differ by plan. ↩

  2. Citizens Property Insurance Corporation, Assessments, checked October 4, 2026. The described charges are contingent; no current deficit or imposed assessment is inferred. ↩

  3. Gruber and Solomon, Optimal Flood Insurance in a Second-Best World, Working Paper 35408, July 2026, framework and sensitivity analysis. Model assumptions materially affect the result. ↩

  4. Blonz, Hossain, Keys, Mulder and Weill, Pricing Protection, Working Paper 34848, February 2026, national and Washington analyses. Preliminary research, not a moral classification of customers. ↩