Tag Archives: housing affordability

Expanding Access to Homeownership

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New homeowners Lateshia, Sylvia, and Tyrell Walton stand in front of their new home.  U.S. Navy photograph by Mass Communication Specialist Seaman Shamus O’Neill

Christopher Herbert et al. has posted Expanding Access to Homeownership as a Means of Fostering Residential Integration and Inclusion. It opens,

Efforts to enable greater integration of communities by socioeconomic status and race/ethnicity have to confront the issue of housing affordability. Cities, towns and neighborhoods that offer access to better public services, transportation networks, shopping, recreational opportunities, parks and other natural amenities have higher housing costs. Expanding access to these communities for those with lower incomes and wealth necessarily entails some means of bringing housing in these areas within their financial reach. While households’ financial means are central to this issue, affordability intersects with race/ethnicity in part because minorities are more likely to be financially constrained. But to the extent that these areas are also disproportionately home to majority-white populations, discrimination and other barriers to racial/ethnic integration must also be confronted along with affordability barriers.

Enabling greater integration also entails some means of fostering residential stability by maintaining affordability in the face of changing neighborhood conditions. This issue is perhaps most salient in the context of neighborhoods that are experiencing gentrification, where historically low-income communities are experiencing rising rents and house values, increasing the risk of displacement of existing residents and blocking access to newcomers with less means. More generally, increases in housing costs in middle- and upper-income communities may also contribute to increasing segregation by putting these areas further out of reach of households with more modest means.

It is common to think of subsidized rental housing as the principal means of using public resources to expand access to higher-cost neighborhoods and to maintain affordability in areas of increasing demand. But for a host of reasons, policies that help to make homeownership more affordable and accessible should be included as part of a portfolio of approaches designed to achieve these goals.

For example, survey research consistently finds that homeownership remains an important aspiration of most renters, including large majorities of low- and moderate-income households and racial/ethnic minorities. Moreover, because owner-occupied homes account for substantial majorities of the existing housing stock in low-poverty and majority-white neighborhoods, expanding access to homeownership offers the potential to foster integration and to increase access to opportunity for low- income households and households of color. There is also solid evidence that homeownership remains an important means of accruing wealth, which in turn can help expand access to higher-cost communities. Owning a home is associated with greater residential stability, in part because it provides protection from rent inflation, which can help maintain integration in the face of rising housing costs. Finally, in communities where owner-occupied housing predominates, there may be less opposition to expanding affordable housing options for homeowners.

The goal of this paper is to identify means of structuring subsidies and other public interventions intended to expand access to homeownership with an eye towards fostering greater socioeconomic and racial/ethnic integration. (1-2, footnotes omitted)

The paper gives an overview of the barriers to increasing the homeownership rate, including affordability, access to credit and information deficits and then outlines policy options to increase homeownership. The paper provides a good overview for those who want to know more about this topic.

 

Big Eviction Data

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photo by Tim Patterson

The Eviction Lab, run by Princeton University Professor Matthew Desmond (of Evicted fame) has recently released its Methodology Report and related resources. The introduction to the report opens,

In recent years, renters’ housing costs have far outpaced their incomes, driving a nationwide affordability crisis. Current data from the American Housing Survey show that most poor renting families spend at least 50 percent of their income on housing costs. Under these conditions, 1 millions of Americans today are at risk of losing their homes through eviction.

An eviction occurs when a landlord forcibly expels a tenant from a residence. While the majority of evictions are attributed to nonpayment of rent, landlords may evict tenants for a variety of other reasons, including property damage, nuisance complaints, or lease violations. A formal eviction occurs when a landlord carries out an eviction through the court system. Conversely, an informal eviction occurs when a landlord executes an eviction without initiating a legal process. For example, a landlord may offer a buyout or perform an illegal lock-out. Until recently, little was known about the prevalence, causes, and consequences of eviction.

The Eviction Lab at Princeton University has collected, cleaned, geocoded, aggregated, and publicized all recorded court-ordered evictions that occurred between 2000 and 2016 in the United States. This data set consists of 82,935,981 million court records related to eviction cases in the United States between 2000 and 2016, gleaned from multiple sources. It is the most comprehensive data set of evictions in America to date.

These data allow us to estimate the national prevalence of court-ordered eviction, and to compare eviction rates among states, counties, cities, and neighborhoods. We can observe eviction trends over time and across geography, and researchers can link these data to other sources of information. (2)

In sum, the Eviction Lab has created “the most comprehensive data set of evictions in America.” (41) This data set is obviously of great importance and will lead to important research about what it means to be poor in the United States. The Eviction Lab website has a user-friendly mapping function among other resources for researchers and policymakers.

Housing Affordability and GSE Reform

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Jim Parrott and Laurie Goodman of the Urban Institute have posted Making Sure the Senate’s Access and Affordability Proposal Works. It opens,

One of the most consequential and possibly promising components of the draft bill being considered in the Senate Banking Committee is the way in which it reduces the cost of a mortgage for those who need it. In the current system, Fannie Mae and Freddie Mac (the government-sponsored enterprises, or GSEs) deliver subsidy primarily through the level pricing of their guarantee fees, overcharging lower-risk borrowers in order to undercharge higher-risk borrowers. While providing support for homeownership through cross-subsidy makes good economic and social sense, there are a number of shortcomings to the way it is done in the current system.

First, it does not effectively target those who need the help. While Fannie Mae and Freddie Mac are both pushed to provide secondary market liquidity for the loans of low- and moderate-income (LMI) borrowers in order to comply with their affordable housing goals and duty to serve obligations, almost one in four beneficiaries of the subsidy are not LMI borrowers (Parrott et al. 2018). These borrowers receive the subsidy simply because their credit is poorer than the average GSE borrower and thus more costly than the average guarantee fee pricing covers. And LMI borrowers who pose less than average risk to the GSEs are picking up part of that tab, paying more in the average guarantee fee than their lower-than-average risk warrants.

Second, the subsidy is provided almost exclusively through lower mortgage rates, even though that is not the form of help all LMI borrowers need. For many, the size of their monthly mortgage is not the barrier to homeownership, but the lack of savings needed for a down payment and closing costs or to cover emergency expenses once the purchase is made. For those borrowers, the lower rate provided in the current system simply does not help.

And third, the opacity of the subsidy makes it difficult to determine who is benefiting, by how much, and whether it is actually helping. The GSEs are allocating more than $4 billion a year in subsidy, yet policymakers cannot tell how it has affected the homeownership rate of those who receive it, much less how the means of allocation compares with other means of support. We thus cannot adjust course to better allocate the support so that it provides more help those who need it.

The Senate proposal remedies each of these shortcomings, charging an explicit mortgage access fee to pay for the Housing Trust Fund, the Capital Magnet Fund, and a mortgage access fund that supports LMI borrowers, and only LMI borrowers, with one of five forms of subsidy: a mortgage rate buy-down, assistance with down payment and closing costs, funding for savings for housing-related expenses, housing counseling, and funding to offset the cost of servicing delinquent loans. Unlike the current system, the support is well targeted, helps address the entire range of impediments to homeownership, and is transparent. As a means of delivering subsidy to those who need it, the proposed system is likely to be more effective than what we have today.

If, that is, it can be designed in a way that overcomes two central challenges: determining who qualifies for the support and delivering the subsidy effectively to those who do. (1-2, footnote omitted)

This paper provides a clear framework for determining whether a housing finance reform proposal actually furthers housing affordability for those who need it most. It is unclear where things stand with the Senate housing finance reform bill as of now, but it seems like the current version of the bill is a step in the right direction.

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).

*     *      *

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.