Housing and Supply

Housing is typically the largest single component of the SSOL calculation. In high-cost markets it can represent 40-50% of the total wage floor. Understanding why housing is expensive - and why that expensiveness is not correcting itself - is essential to understanding why SSOL's supply-side mechanism matters most here.

A simple model of housing prices

Imagine a small town with ten apartments and ten tenants. The units turn over every week - everyone moves out Sunday morning and back in Sunday night. What determines rent? Supply and demand: ten units for ten people reaches equilibrium at a price where everyone has a place.

Now one tenant leaves. Every week, one apartment sits empty. The owner of the empty unit does something rational: they lower the price. Some rent is better than no rent. The other landlords notice and start competing. A race to the bottom on price begins until demand is satisfied.

Now instead, one more tenant arrives. Every Sunday, one person is left without a place. That person will outbid for whatever unit becomes available - homelessness is unacceptable. Prices rise. Build one more unit and things go back to normal. But there is no incentive for the existing unit owners to build, and every incentive for them to restrict building. Only when the price rises enough does a developer see an opportunity worth pursuing. By then, a new higher equilibrium has already been established.

This is not how markets are supposed to work, but it is how housing works. The final step - a developer builds new units quickly enough to meet demand - consistently fails to happen at the speed the market requires, because the people with political power over what gets built are the people who benefit from nothing getting built.

Why housing supply does not self-correct

The failure is not a mystery. The people who control the political process around housing supply are also the people who benefit directly from restricted supply. Existing property owners in a neighborhood see their property values increase when vacancy rates are low and demand is high. They vote, donate to local campaigns, attend planning commission meetings, and organize opposition to new development. They bear no cost for their opposition - the costs are borne by workers who pay higher rents and future residents who will never live in housing that is never built.

The permitting process, environmental reviews, design standards, and neighborhood input requirements that slow or kill housing development are not fundamentally about safety or environmental protection. In most cases they are about giving the organized opposition - existing homeowners - multiple procedural opportunities to delay or defeat projects that would reduce the scarcity their property values depend on.

The developer seeking a permit wants to build. But they face a two-year permitting process, an environmental review, a neighborhood input period, and a design review board. They show up to every meeting as a profit-seeker. The opposition shows up as concerned residents. The planning commission serves the community it is appointed by - which consists primarily of the people who vote in local elections, who are overwhelmingly existing property owners.

Not In My Backyard (NIMBY) as an economic choice

Under the current system, opposing housing development is effectively a free political preference. Property owners who successfully block a nearby apartment complex capture the benefit - their property values are protected - while the costs are diffuse and invisible: they appear as higher rents across the market, as workers commuting longer distances, as government housing assistance programs that taxpayers fund.

Under SSOL, the cost becomes explicit and localized. When a planning commission blocks a 200-unit housing development, the housing component of the SSOL calculation for every employer within the commute radius increases by a calculable amount. The employer knows it. The city council knows it. The cost of the decision is published in the quarterly SSOL update.

Communities that restrict housing supply choose a higher SSOL for employers in their jurisdiction. That is a valid choice - but it is now a choice with a visible price tag.

How SSOL changes who shows up to the planning meeting

The most important effect of SSOL on housing is not regulatory - it is political.

Under SSOL, the largest employers in a community have a direct, quarterly, dollar-quantified interest in housing supply. A regional employer with 2,000 employees sees its annual labor cost increase by $2.4 million for every $100/month increase in the housing component of SSOL. That employer now has a reason to show up to the planning commission meeting - not as a developer seeking a variance, but as the dominant economic actor in the community with a clear message: this housing shortage is raising our labor costs every quarter. If this continues, we will be running the numbers on markets where the housing situation is more favorable to our bottom line.

The current property owners still have their political leverage. But they are now in a room with the entity that employs a significant fraction of the town's workforce, and that entity has a published number showing exactly what the housing shortage costs them. The calculation does not guarantee the outcome - property owners can still win political fights. But the dynamics of the fight have changed materially, because a powerful financial interest is now on the other side of the table. It is also worth asking: what are those properties worth if demand craters because the largest employer relocated to a town two exits down the highway because the housing costs are lower.

The competition for employers

SSOL changes how communities compete for employers. Currently, the dominant tool is the incentive package: tax abatements, infrastructure subsidies, training grants, and direct cash payments that can run into hundreds of millions of dollars for a major facility. These packages are essentially cities paying employers to locate there despite underlying cost disadvantages.

Under SSOL, a community with a lower SSOL does not need a one-time incentive. The permanent advantage is in the wage floor itself. A community where SSOL is $4/hr lower than the next candidate provides $16 million per year in ongoing savings to an employer with 2,000 minimum-wage workers - every year, compounding, without sunset clauses or clawback provisions.

Investing in housing supply, transit access, healthcare availability, and other SSOL components is not charity or civic virtue for these communities - it is their competitive strategy. The community that solves these problems attracts labor-intensive employers permanently. The community that protects existing property values pays for it in a visible, quantified way every quarter.

Lag and transition

Housing supply takes time to respond even when political obstacles are removed. Permitting, financing, and construction - even in an unobstructed market - take 18 to 36 months from approval to occupancy. SSOL does not eliminate this lag. It shortens it by creating financial urgency among the parties with the most leverage to resolve it.

During the transition period, temporary subsidies or housing assistance can bridge the gap for workers in high-cost markets - but only structured as true bridges: fixed duration, price-capped, conditional on supply expansion, and automatically expiring when sufficient supply exists. Permanent subsidies that suppress visible prices remove the signal that drives the supply-side correction. The subsidy and the SSOL calculation must be kept separate - SSOL always prices the real market, never the subsidized one.

High-cost markets and alternative transportation

Some markets - Manhattan, central San Francisco, similar - may face SSOL numbers so high that labor-intensive industries cannot operate viably using car-based transportation and local housing costs. This is not a failure of SSOL. It is the market accurately reflecting that a fast food worker cannot afford to live in Manhattan - which is already true. SSOL just makes it official.

Employers in high-cost markets have options. By establishing satellite clock-in locations in lower-cost adjacent neighborhoods and providing company shuttle service to the worksite, they can anchor their SSOL calculation to the housing costs of those neighborhoods rather than the central business district. Workers clock in near where they live, ride a company shuttle to work, and clock out near home. The employer has solved the transportation problem and anchored their SSOL to a lower-cost housing market. This is the framework working as designed: SSOL does not dictate solutions, it prices problems and lets employers find the most efficient path.