Tag Archives: housing affordability

Zoning and Housing Affordability

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Vanessa Brown Calder has posted Zoning, Land-Use Planning, and Housing Affordability to SSRN. It opens,

Local zoning and land-use regulations have increased substantially over the decades. These constraints on land development within cities and suburbs aim to achieve various safety, environmental, and aesthetic goals. But the regulations have also tended to reduce the supply of housing, including multifamily and low-income housing. With reduced supply, many U.S. cities suffer from housing affordability problems.

This study uses regression analysis to examine the link between housing prices and zoning and land-use controls. State and local governments across the country impose substantially different amounts of regulation on land development. The study uses a data set of court decisions on land use and zoning that captures the growth in regulation over time and the large variability between the states.

The statistical results show that rising land-use regulation is associated with rising real average home prices in 44 states and that rising zoning regulation is associated with rising real average home prices in 36 states. In general, the states that have increased the amount of rules and restrictions on land use the most have higher housing prices.

The federal government spent almost $200 billion to subsidize renting and buying homes in 2015. These subsidies treat a symptom of the underlying problem. But the results of this study indicate that state and local governments can tackle housing affordability problems directly by overhauling their development rules. For example, housing is much more expensive in the Northeast than in the Southeast, and that difference is partly explained by more regulation in the former region.

Interestingly, the data show that relatively more federal housing aid flows to states with more restrictive zoning and land-use rules, perhaps because those states have higher housing costs. Federal aid thus creates a disincentive for the states to solve their own housing affordability problems by reducing regulation. (1)

This paper provides additional evidence for an argument that Edward Glaeser and others have been making for some time now.

Local governments won’t make these changes on their own. Nonetheless, local land-use decisions have a large negative impact on many households and businesses who are not currently located within the borders of the local jurisdictions (as well as some who are). As a result, the federal government could and should take restrictive land use regulation into account when it allocates federal aid for affordable housing.

The Obama Administration found that restrictive local land-use regulations stifled GDP growth in the aggregate. Perhaps reforming land-use regulation is something that could garner bipartisan support as it is a market-driven approach to the housing crisis, a cause dear to the hearts of many Democrats (and not a few Republicans).

Economic Factors That Affect Housing Prices

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photo by TaxRebate.org.uk

S&P has posted a paper on Economic Factors That Affect Housing Prices. This is, of course, an important topic, albeit one that is an art as well as a science. While S&P undertook this analysis more for mortgage-backed securities investors than for anyone else, it certainly is of use to the rest of us. The paper opens,

The U.S. domestic housing market has experienced a 23% price increase since the beginning of the housing recovery in 2011. Many local housing markets are now close to or above their peak levels of 2006, which leads us to investigate whether the pace of home price appreciation (HPA) can continue at its current pace. In this paper, we (1) examine the economic factors that influence HPA and (2) forecast HPA for numerous geographic regions assuming various economic conditions over the next five years. While the aggregate national pattern in housing prices is an important reference, we need to examine housing prices at a more granular geographic level in order to understand regional housing market dynamics and learn how these are affected by local macroeconomic factors. This paper demonstrates that several economic variables are needed to predict average home price movements for each of 48 different U.S. metropolitan statistical areas (MSAs).

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Factors that influence HPA can be difficult to predict. Therefore, residential mortgage backed securities (RMBS) investors frequently use a range of HPA projections to estimate their potential bond returns. With that in mind, for each MSA, we considered five separate hypothetical economic scenarios, ranging from an “Upside” forecast to an extreme “Stress 3” case. Interestingly, our Stress 3 case forecasts a 28% decline in HPI at the national level over the next five years, which corresponds roughly to the decline experienced in the last recession. Our “base case” scenario leads to forecasts at the national level of a 26% increase in HPI over five years. This represents what we believe to be the most likely economic forecast. (1-2)

S&P’s key findings include:

  • Movement in HPA is primarily influenced by up to five variables, depending on the MSA: housing affordability, changes in shadow inventory, the unemployment rate, the TED spread [a measure of distress in the credit markets], and population growth.
  • HPA in many MSAs has momentum, meaning that it depends on its level in the previous quarter of observation.
  • The mortgage rate generally appears to have little predictive power in connection with home prices.
  • Chicago, Houston, Boston, and San Francisco are projected to appreciate at a greater pace (45%, 40%, 27%, and 36%, respectively) than the 26% forecast for the nation as a whole over the next five years, and New York at a slower pace (21%). Columbus led all MSAs with a projected five-year HPA of 50%.
  • Under our most pessimistic (Stress 3) scenario, Chicago is forecast to experience a greater decline in HPI (34%) over the next five years than the nation as a whole (29%), while New York, Boston, Houston, and San Francisco are projected to experience declines that are less severe than that of the nation (19%, 3%, 17%, and 16%, respectively). Markets that have been vulnerable in the past (Las Vegas, Phoenix, and Riverside) are projected to experience the greatest five-year declines under our Stress 3 scenario (66%, 68%, and 68%). The markets that show the greatest movements are the most sensitive to the five factors and frequently show the greatest upside and downside. (2-3, emphasis in the original)

I found the first and third bullet points to be the most interesting, as many pundits weigh in on the factors that affect housing prices. It will be interesting to see if further research confirms S&P’s findings.

Housing Affordability in NYC

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Jacob Riis, Lodgers in a Crowded Bayard Street Tenement

The Citizens Budget Commission has released Whose Burden Is It Anyway? Housing Affordability in New York City by Household Characteristics. The CBC produced some interesting and counterintuitive policy briefs last year, in which it

examined housing affordability across large U.S. cities to assess New York’s situation in a broader context. Using federal data sources, CBC found that while many New Yorkers face high rents, and the share of households who are “rent burdened” (paying more than 30 percent of income toward rent) grew between 2000 and 2012, the city ranks near the middle among 22 large cities in the share of rent-burdened households. A second analysis revealed New York has the lowest transportation costs among the 22 cities studied due to the large proportion of residents who commute via mass transit. When housing and transportation costs are combined, the city rises from 13th to 3rd place in affordability. The average New York household pays 32 percent of its income towards housing and transportation costs, well within the U.S. Department of Housing and Urban Development’s (HUD’s) affordability guideline of 45 percent. CBC also examined how some “typical” households (as defined by HUD) fared in terms of housing and transportation costs in the same group of cities. In this analysis, low income households in New York also ranked relatively well despite facing serious rent burdens. (1)

The current CBC report looks at NYC rent burdens in greater detail. Key findings include,

  • Forty-two percent of New York City’s renter households are “rent burdened;” that is, adjusting for actual rent paid by each household (“out-of-pocket contract rent” plus utility costs) and food stamp benefits, they pay more than 30 percent of income in rent. „
  • Half of rent burdened households are severely rent burdened, paying more than 50 percent of income in rent. Ninety-four percent of these severely rent-burdened households are low income. „
  • Low-income severely burdened households are disproportionately comprised of singles and seniors. They are also disproportionately households with children and located in the outer boroughs. (2)

CBC adjusts rent to take into account subsidies and familial support. Some will disagree with adjustments of this type, but I think it is a pretty reasonable approach. When combined with the adjustments it made for transportation costs, CBC has produced a textured portrait of the state of housing affordability in NYC.

Inclusionary Housing and Equitable Communities

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Lincoln_Institute_of_Land_Policy_-_Cambridge,_MA_-_DSC00178

The Lincoln Institute of Land Policy has released a policy focus report, Inclusionary Housing: Creating and Maintaining Equitable Communities. The Executive Summary opens,

After decades of disinvestment, American cities are rebounding, but new development is often driving housing costs higher and displacing lower-income residents. For cities struggling to maintain economic integration, inclusionary housing is one of the most promising strategies available to ensure that the benefits of development are shared widely. More than 500 communities have developed inclusionary housing policies, which require developers of new market-rate real estate to provide affordable units as well. Economically diverse communities not only benefit low-income households; they enhance the lives of neighbors in market-rate housing as well. To realize the full benefit of this approach, however, policies must be designed with care. (3)

The report uses the term inclusionary zoning to refer to

a range of local policies that tap the economic gains from rising real estate values to create affordable housing—tying the creation of homes for low- or moderate-income households to the construction of market-rate residential or commercial development. In its simplest form, an inclusionary housing program might require developers to sell or rent 10 to 30 percent of new residential units to lower-income residents. Inclusionary housing policies are sometimes referred to as “inclusionary zoning” because this type of requirement might be implemented through an area’s zoning code; however, many programs impose similar requirements outside the zoning code. (7)

The report notes that

Policy makers are understandably concerned that affordable housing requirements will stand in the way of development. But a review of the literature on the economics of inclusionary housing suggests that well-designed programs can generate significant affordable housing resources without overburdening developers or landowners or negatively impacting the pace of development. (4)

The report is obviously addressing two of the most important issues facing us today — the housing affordability challenge that many households face as well as the increasing stratification of communities by income and wealth.

There is a lot of value in the survey of the academic literature on inclusionary housing policies that is provided by this report. At the same time, there is some fuzzy thinking in it too. For instance, the report states that, “As the basic notion of supply and demand suggests, the addition of new units in a given market will inevitably put some downward pressure on the cost of existing units. But the larger effect tends to be upward pressure on housing costs because new homes are primarily built for higher-income residents.” (12)

This analysis ignores the well-accepted concept of filtering in urban economics. Filtering describes the process by which occupants of housing units go from higher-income to lower-income as the unit ages, becomes outdated and is subject to wear and tear. If higher-income households move to the newest housing, then other another household, typically of lower-income, can move into the vacant unit. If the number of households remains constant, then housing prices should decrease as housing development increases.

Because the real world does not look like an economic model, many people think that new housing causes increased housing prices. But the cause of the increased housing prices is often the same thing that is causing new housing construction:  increased demand.

Take NYC for instance. In recent years, it issues permits for 10,000-20,000 or so new units of housing a year, but its population has grown by about 60,000 people a year. Combine this with the fact that new housing construction is both a sign and result of gentrification in a particular neighborhood, it is no wonder people think that housing construction pushes prices higher. While this is an understandable line of thought for the man or woman in the street, it is less so for the Lincoln Institute.

My bottom line: this is worth a read, but read with care.

 

Nation of Renters

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NYU’s Furman Center and Capital One have produced an interesting graphic, Renting in America’s Largest Cities. The graphic highlights the growing trend of renting in urban communities, but also the increasing expense of doing so. The press release about this study provides some highlights:

  • In 2006, the majority of the population in just five of the largest 11 U.S. cities lived in rental housing; in 2013, that number increased to nine.
  • As demand for rental housing grew faster than available supply, rental vacancy rates declined in all but two of the 11 cities, making it harder to find units for rent.
  • Rents outpaced inflation in almost all of the 11 cities. Rents Increased most in DC, with a 21 percent increase in inflation-adjusted median gross rent, and least in Houston, where rents were stable.
  • In all 11 cities, an overwhelming majority of low-income renters were severely rent-burdened, facing rents and utility costs equal to at least half of their income.
  • Even In the most affordable cities in the study, low-income renters could afford no more than 11 percent of recently available units.
  • In five major cities, including New York, Los Angeles, San Francisco, Boston and Miami, moderate-Income renters could afford less than a third of recently available units in 2013.

Rental housing clearly has an important role to play in providing stable homes for American households, particularly in big cities. While rental housing has been the stepchild of federal housing policy for far too long, it is good that it is finally get some attention and resources.

I look forward to the Furman Center’s follow-up report, which will provide more detail than the graphic does. I am particularly curious about whether the researchers have addressed the difference between housing affordability and location affordability in the longer study. I would guess that the relative affordability of the cities in this study is greatly impacted by households’ transportation costs.

Reiss on Housing Unaffordability

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TheStreet.com quoted me in Homeownership Unaffordable For Most Americans in Major Cities. It reads in part,

Homeownership remains unaffordable for most Americans who are living in major cities.

A median-income household can only afford a median-priced home in 10 of the 25 largest U.S. metropolitan areas, which is actually an improvement from 2013, according to a report by Interest.com, the Chicago-based consumer financial information website.

The most affordable metro areas area Atlanta, Minneapolis and St. Louis while San Francisco is the least affordable since the median income in the city is 46% less than what is required to buy a median-priced home in the area. Median-income households in San Diego, New York and Los Angeles don’t fare much better.

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Many potential homeowners should evaluate what kind of mortgage they really need, said David Reiss, a law professor at Brooklyn Law School. Since most homeowners only stay in their house for an average of seven years, getting a traditional 30-year mortgage may not be the solution and an adjustable rate mortgage which resets after a period of years could be more affordable.

“This advice holds particularly true for families that are thinking about having more kids, since they may move sooner than they think if they come to realize that they want more space,” he said.

Housing Finance at A Glance

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The Urban Institute’s Housing Finance Policy Center really does give a a nice overview of the American housing finance system in its monthly chartbook, Housing Finance at A Glance. I list below a few of the charts that I found particularly informative, but I recommend that you take a look at the whole chartbook if you want to get a good sense of what it has to offer:

  • First Lien Origination Volume and Share (reflecting market share of Bank portfolio; PLS securitization; FHA/VA securitization; an GSE securitization)
  • Mortgage Origination Product Type (by Fixed-rate 30-year mortgage; Fixed-rate 15-year mortgage; Adjustable-rate mortgage; Other)
  • Securitization Volume and Composition (by Agency and Non-Agency Share of Residential MBS Issuance)
  • National Housing Affordability Over Time
  • Mortgage Insurance Activity (by VA, FHA, Total private primary MI)

As with the blind men and the elephant, It is hard for individuals to get their  hands around the entirety of the housing finance system. This chartbook makes you feel like you got a glimpse of it though, at least a fleeting one.