The Economics of Housing Supply


chart by Smallman12q

Housing economists Edward L. Glaeser and Joseph Gyourko have posted The Economic Implications of Housing Supply to SSRN (behind a paywall but you can find a slightly older version of the paper here). The abstract reads,

In this essay, we review the basic economics of housing supply and the functioning of US housing markets to better understand the distribution of home prices, household wealth and the spatial distribution of people across markets. We employ a cost-based approach to gauge whether a housing market is delivering appropriately priced units. Specifically, we investigate whether market prices (roughly) equal the costs of producing the housing unit. If so, the market is well-functioning in the sense that it efficiently delivers housing units at their production cost. Of course, poorer households still may have very high housing cost burdens that society may wish to address via transfers. But if housing prices are above this cost in a given area, then the housing market is not functioning well – and housing is too expensive for all households in the market, not just for poorer ones. The gap between price and production cost can be understood as a regulatory tax, which might be efficiently incorporating the negative externalities of new production, but typical estimates find that the implicit tax is far higher than most reasonable estimates of those externalities.

The paper’s conclusions, while a bit technical for a lay audience, are worth highlighting:

When housing supply is highly regulated in a certain area, housing prices are higher and population growth is smaller relative to the level of demand. While most of America has experienced little growth in housing wealth over the past 30 years, the older, richer buyers in America’s most regulated areas have experienced significant increases in housing equity. The regulation of America’s most productive places seems to have led labor to locate in places where wages and prices are lower, reducing America’s overall economic output in the process.

Advocates of land use restrictions emphasize the negative externalities of building. Certainly, new construction can lead to more crowded schools and roads, and it is costly to create new infrastructure to lower congestion. Hence, the optimal tax on new building is positive, not zero. However, there is as yet no consensus about the overall welfare implications of heightened land use controls. Any model-based assessment inevitably relies on various assumptions about the different aspects of regulation and how they are valued in agents’ utility functions.

Empirical investigations of the local costs and benefits of restricting building generally conclude that the negative externalities are not nearly large enough to justify the costs of regulation. Adding the costs from substitute building in other markets generally strengthens this conclusion, as Glaeser and Kahn (2010) show that America restricts building more in places that have lower carbon emissions per household. If California’s restrictions induce more building in Texas and Arizona, then their net environmental could be negative in aggregate. If restrictions on building limit an efficient geographical reallocation of labor, then estimates based on local externalities would miss this effect, too.

If the welfare and output gains from reducing regulation of housing construction are large, then why don’t we see more policy interventions to permit more building in markets such as San Francisco? The great challenge facing attempts to loosen local housing restrictions is that existing homeowners do not want more affordable homes: they want the value of their asset to cost more, not less. They also may not like the idea that new housing will bring in more people, including those from different socio-economic groups.

There have been some attempts at the state level to soften severe local land use restrictions, but they have not been successful. Massachusetts is particularly instructive because it has used both top-down regulatory reform and incentives to encourage local building. Massachusetts Chapter 40B provides builders with a tool to bypass local rules. If developers are building enough formally-defined affordable units in unaffordable areas, they can bypass local zoning rules. Yet localities still are able to find tools to limit local construction, and the cost of providing price-controlled affordable units lowers the incentive for developers to build. It is difficult to assess the overall impact of 40B, especially since both builder and community often face incentives to avoid building “affordable” units. Standard game theoretic arguments suggest that 40B should never itself be used, but rather work primarily by changing the fallback option of the developer. Massachusetts has also tried to create stronger incentives for local building with Chapters 40R and 40S. These parts of their law allow for transfers to the localities themselves, so builders are not capturing all the benefits. Even so, the Boston market and other high cost areas in the state have not seen meaningful surges in new housing development.

This suggests that more fiscal resources will be needed to convince local residents to bear the costs arising from new development. On purely efficiency grounds, one could argue that the federal government provide sufficient resources, but the political economy of the median taxpayer in the nation effectively transferring resources to much wealthier residents of metropolitan areas like San Francisco seems challenging to say the least. However daunting the task, the potential benefits look to be large enough that economists and policymakers should keep trying to devise a workable policy intervention. (19-20)

New Housing and Displacement

Lsanburn

The Institute of Governmental Studies at UC Berkeley has issued a research brief, Housing Production, Filtering and Displacement: Untangling the Relationships. It opens,

Debate over the relative importance of subsidized and market-rate housing production in alleviating the current housing crisis continues to preoccupy policymakers, developers, and advocates. This research brief adds to the discussion by providing a nuanced analysis of the relationship between housing production, affordability, and displacement in the San Francisco Bay Area, finding that:

• At the regional level, both market-rate and subsidized housing reduce displacement pressures, but subsidized housing has over double the impact of market-rate units.

• Market-rate production is associated with higher housing cost burden for low-income households, but lower median rents in subsequent decades.

• At the local, block group level in San Francisco, neither market-rate nor subsidized housing production has the protective power they do at the regional scale, likely due to the extreme mismatch between demand and supply.

Although more detailed analysis is needed to clarify the complex relationship between development, affordability, and displacement at the local scale, this research implies the importance of not only increasing production of subsidized and market-rate housing in California’s coastal communities, but also investing in the preservation of housing affordability and stabilizing vulnerable communities. (1)

This brief takes on an important subject — the relationship between new housing and displacement — and concludes,

There is no denying the desperate need for housing in California’s coastal communities and similar housing markets around the U.S. Yet, while places like the Bay Area are suffering from ballooning housing prices that are affecting people at all income levels, the development of market-rate housing may not be the most effective tool to prevent the displacement of low-income residents from their neighborhoods, nor to increase affordability at the neighborhood scale.

Through our analysis, we found that both market-rate and subsidized housing development can reduce displacement pressures, but subsidized housing is twice as effective as market-rate development at the regional level. It is unclear, however, if subsidized housing production can have a protective effect on the neighborhood even for those not fortunate enough to live in the subsidized units themselves.

By looking at data from the region and drilling down to local case studies, we also see that the housing market dynamics and their impact on displacement operate differently at these different scales. Further research and more detailed data would be needed to better understand the mechanisms via which housing production affects neighborhood affordability and displacement pressures. We know that other neighborhood amenities such as parks, schools, and transit have a significant impact on housing demand and neighborhood change and it will take additional research to better untangle the various processes at the local level.

In overheated markets like San Francisco, addressing the displacement crisis will require aggressive preservation strategies in addition to the development of subsidized and market-rate housing, as building alone won’t protect specific vulnerable neighborhoods and households. This does not mean that we should not continue and even accelerate building. However, to help stabilize existing communities we need to look beyond housing development alone to strategies that protect tenants and help them stay in their homes. (10-11, footnote omitted)

The brief struggles with a paradox of housing — how come rents keep going up in neighborhoods with lots of new construction? The answer appears to be that the broad regional demand for housing in a market like the Bay Area or New York City overwhelms the local increase in housing supply. The new housing, then, just acts like a signal of gentrification in the neighborhoods in which it is located.

If I were to criticize this brief, I would say that it muddies the waters a bit as to what we need in hot markets like SF and NYC: first and foremost, far more housing units. In the absence of a major increase in supply, there will be intense market pressure to increase rents or convert units to condominiums. Local governments will have a really hard time overcoming that pressure and may just watch as area median income rises along with rents. New housing may not resolve the problem of large-scale displacement, but it will be hard to address displacement without it. Preservation policies should be pursued as well, but the only long-term solution is a lot more housing.

I would also say that the brief elides over the cost of building subsidized housing when it argues that subsidized housing has twice the impact of market-rate units on displacement. The question remains — at what cost? Subsidized housing is extremely expensive, often costing six figures per unit for new housing construction. The brief does not tackle the question of how many government dollars are needed to stop the displacement of one low-income household.

My bottom line: this brief begins to untangle the relationship between housing production and displacement, but there is more work to be done on this topic.

Housing and Transportation Affordability Index

The Center for Neighborhood Technology has a Housing and Transportation Affordability Index which

provides a more comprehensive way of thinking about the true affordability of place. It presents housing and transportation data as maps, charts and statistics for 917 metropolitan and micropolitan areas—covering 94% of the US population. Costs can be seen from the regional down to the neighborhood level.

The recent focus on combined housing and transportation costs is very useful when planning affordable housing policies as total housing and transportation costs provide a better guide to housing cost burden than housing costs alone.

The Housing and Transportation Affordability Index

shows that transportation costs vary between and within regions depending on neighborhood characteristics:

  • People who live in location-efficient neighborhoods—compact, mixed-use, and with convenient access to jobs, services, transit and amenities—tend to have lower transportation costs.
  • People who live in location-inefficient places—less dense areas that require automobiles for most trips—are more likely to have higher transportation costs.

The traditional measure of affordability recommends that housing cost no more than 30% of household income. Under this view, a little over half (55%) of US neighborhoods are considered “affordable” for the typical household. However, that benchmark fails to take into account transportation costs, which are typically a household’s second-largest expenditure. The H+T Index offers an expanded view of affordability, one that combines housing and transportation costs and sets the benchmark at no more than 45% of household income.

When transportation costs are factored into the equation, the number of affordable neighborhoods drops to 26%, resulting in a net loss of 59,768 neighborhoods that Americans can truly afford. The key finding from the H+T Index is that household transportation costs are highly correlated with urban environment characteristics, when controlling for household characteristics.

A lot of housing policy rests on the definition of affordability, whether it is that housing cost should be no more than 30% of household income or that housing and transportation costs should be no more than 45% of household income. It would be useful for researchers to take a fresh look at those benchmarks to ensure that they make sense in today’s economy.