Silicon Valley’s Housing Crisis

photo by Smitha Murthy

Drop in the Bucket?

Realtor.com quoted me in Could There Really Be Relief Ahead for Silicon Valley’s Housing Crisis? It opens,

Finally! A glimmer of hope has appeared in Silicon Valley’s housing crisis. Amid gloomy and downright terrifying stories about astronomical home prices and tighter-than-tight inventories forcing well-paid tech workers to live in vans, pay $2 million for a tear-down shack, or ponder commuting to work from Las Vegas, there seems to be some good news for a change: City Council members in Mountain View, CA, approved plans to build 10,250 new homes in the area.

Given that Mountain View has only about 32,000 homes total, this will increase its housing inventory by a whopping 32%—all purportedly within “walking distance” (possibly a bit of a long walk) of tech giant Google, which has long been lobbying on this front and will no doubt break out the Champagne once developers break ground. Sure, it may be years before these homes become a reality, but even the idea of them may have many locals (or those moving there) daring to dream. Might this new influx of housing cause home prices to drop within reasonable reach?

As logical as this renewed optimism about Silicon Valley’s housing market might seem, experts aren’t so sure home prices will budge all that much.

“This news in itself will not drive down prices much,” says David Reiss, research director at the Center for Urban Business Entrepreneurship at Brooklyn Law School. “While a 10,000-unit commitment is significant, Silicon Valley as a whole has about 3 million people living there.”

So if you consider the population of the entire area—many of whom would likely kill to move to Mountain View—10,000 new houses would house only 0.3% of these people. For you math-challenged, that’s less than a measly half-percent! 

And even though the number of homes may be edging upward, so are the number of people moving there.

“Silicon Valley remains a booming economy, so it’s likely that the population will continue to grow, further driving up prices,” Reiss continues.

As further evidence that more homes doesn’t necessarily lead to cheaper home prices, Florida Realtor® Cara Ameer points to another historically hot market: New York City.

“In New York, more new buildings has had no impact on housing prices or rents,” she says. If anything, the only change New Yorkers noticed is their neighborhood got a lot more cramped. The same will likely be true for picture-perfect Mountain View.

“The biggest thing people will see is increased congestion,” says Amer, “with many more residents, cars, and the need for schools and additional services.”

In fact, fears of overcrowding might even galvanize current homeowners in the area to show up en force at future City Council meetings to fight the greenlighting of additional developments—that is, unless they’re out-muscled by employee-hungry firms such as Google.

“As key businesses realize that the lack of housing is hurting their ability to recruit and retain good employees, it is possible that Mountain View’s decision is a harbinger for more pro-development decisions throughout Silicon Valley,” Reiss explains. “Current homeowners, called ‘homevoters,’ tend to make their anti-growth views known to local officials, but once the interests of local businesses focus on the lack of workforce housing, it can change the dynamics.

“These are powerful companies. The result is that those decisions can become more pro-growth than is typical for suburban communities.”

Homeowner Nation or Renter Nation?

Andreas Praefcke

Arthur Acolin, Laurie Goodman and Susan Wachter have posted a forthcoming Cityscape article to SSRN, A Renter or Homeowner Nation? The abstract reads,

This article performs an exercise in which we identify the potential impact of key drivers of home ownership rates on home ownership outcomes by 2050. We take no position on whether these key determinants in fact will come about. Rather we perform an exercise in which we test for their impact. We demonstrate the result of shifts in three key drivers for home ownership forecasts: demographics (projected from the census), credit conditions (reflected in the fast and slow scenarios), and rents and housing cost increases (based on California). Our base case average scenario forecasts a decrease in home ownership to 57.9 percent by 2050, but alternate simulations show that it is possible for the home ownership rate to decline from current levels of around 64 percent to around 50 percent by 2050, 20 percentage points less than at its peak in 2004. Projected declines in home ownership are about equally due to demographic shifts, continuation of recent credit conditions, and potential rent and house price increases over the long term. The current and post WW II normal of two out of three households owning may also be in our future: if credit conditions improve, if (as we move to a majority-minority nation) minorities’ economic endowments move toward replicating those of majority households, and if recent rent growth relative to income stabilizes.

This article performs a very helpful exercise to help understand the importance of the homeownership rate.  This article continues some of the earlier work of the authors (here, for instance). I had thought that that earlier paper should have given give more consideration to how we should think about the socially optimal homeownership rate. Clearly, a higher rate, like the all-time high of 69% that we had right before the financial crisis, is not always better. But just as clearly, the projected low of 50% seems way too low, given long term trends. But that leaves a lot of room in between.

This article presents a model which can help us think about the socially optimal rate instead of just bemoaning a drop from the all-time high. It states that

Equilibrium in the housing market is reached when the marginal household is indifferent between owning and renting, requiring the cost of obtaining housing services through either tenure to be equal. In addition, for households, the decision to own or rent is affected by household characteristics and, importantly, expected mobility, because moving and transaction costs are higher for owners than for renters.  Borrowing constraints also affect tenure outcomes if they delay or prevent access to homeownership. (4-5)

This short article does not answer all of the questions we have about the homeownership rate, but it does answer some of them. For those of us trying to understand how federal homeownership policy should be designed, it undertakes a very useful exercise indeed.

Property Tax Exemptions in Wonderland

 

Cea

NYU’s Furman Center has released a policy brief, The Latest Legislative Reform of the 421-a Tax Exemption: A Look at Possible Outcomes. This brief is part of a series on affordable housing strategies for a high-cost city. It opens,

Since the early 1970s, New York City has provided a state-authorized, partial property tax exemption for the construction of new residential buildings. In the 1980s, the New York City Council amended the program to require that participating residential buildings in certain portions of Manhattan also provide affordable housing. Most recently, New York State extended the existing program through the end of 2015 and created a new 421-a framework for 2016 onward. However, for the program to continue beyond December, the legislation requires that representatives of residential real estate developers and construction labor unions reach a memorandum of understanding regarding wages of construction workers building 421-a program developments that contain more than 15 units.

This brief explores the possible impacts of the new 421-a legislation on residential development across a range of different neighborhoods in New York City, including neighborhoods where rents and sale prices are far lower than in the Manhattan Core and where the tax exemption or other subsidy may be necessary to spur new residential construction under current market conditions. We assess what could happen to new market rate and affordable housing production if the 421-a program were allowed to expire or if it were to continue past 2015 in the form contemplated by recently passed legislation. Our analysis shows that changes to the 421-a program could significantly affect the development of both market rate and affordable housing in the city (1, footnote omitted)

The 421-a program operates against the backdrop of a crazy quilt real property tax regime where similar buildings are taxed at wildly different rates because of various historical oddities and thinly-sliced legal distinctions. Like the Queen of Hearts, the rationale given by the Department of Finance for this unequal treatment amounts to no more than — And the reason is…because I say so, that’s why!

The brief concludes,

Our financial analysis of the possible outcomes from the 421-a legislation offers some insights into its potential impact on new construction. First, if the 421-a benefit expires in 2016, residential developers would lower the amount they would be willing to pay for land in many parts of the city. The result could be a pause in new residential developments in areas outside of the Manhattan Core as both buyers and sellers of land adjust to the new market.

*     *     *

Second, if the newly revised 421-a program with its higher affordability requirements and longer exemption period goes into effect in 2016 without any increase in construction costs, the city is likely to have more affordable rental units developed in many parts of the city compared to what the existing 421-a program would have created. Condominium development without the 421-a program may still continue to dominate in certain portions of Manhattan, though the program appears to make rentals more attractive. (12)

The first outcome — lower land prices if 421-a expires — is not that bad for anyone, except current landowners. And it is hard to feel bad for them, given that they should not have expected that 421-a would remain in effect forever (and not to mention the rapid increases in NYC land prices). The second outcome — the new 421-a framework — sounds like better public policy than the existing program.

But one wonders — what would it take for NYC to develop a rational real property tax regime to replace our notoriously inequitable one, one that treats like properties so differently from each other. Can we escape from Wonderland?

The Housing/Income Affordability Gap

We need affordable housing

The Urban Institute has issued a policy brief, The Housing Affordability Gap for Extremely Low-Income Renters in 2013. The brief opens,

Since 2000, rents have risen while the number of renters who need low-priced housing has increased. These two pressures make finding affordable housing even tougher for very poor households in America. Nationwide, only 28 adequate and affordable units are available for every 100 renter households with incomes at or below 30 percent of the area median income. Not a single county in the United States has enough affordable housing for all its extremely low-income (ELI) renters. The number of affordable rental homes for every 100 ELI renters ranges from 7 in Osceola County, Florida, to 76 in Worcester County, Maryland.

*     *     *

This brief is the first publication on housing affordability to combine detailed county-level data on ELI renter households (those with incomes at or below 30 percent of the area median) and the impact of US Department of Housing and Urban Development (HUD) rental assistance. Its four key findings:

  • Supply is not keeping up with demand. Between 2000 and 2013, the number of ELI renter households increased 38 percent, from 8.2 million to 11.3 million. At the same time, the supply of adequate, affordable, and available rental homes for these households increased only 7 percent, from 3.0 million to 3.2 million.
  • The gap between ELI renter households and suitable units is widening over time. From 2000 to 2013, the number of adequate, affordable, and available rental units for every 100 ELI renter households nationwide declined from 37 to 28.
  • Extremely low-income renters increasingly depend on HUD programs for housing. More than 80 percent of adequate, affordable, and available homes for ELI renter households are HUD-assisted, up from 57 percent in 2000.
  • The supply of adequate, affordable, and available units varies widely across the country. Among the 100 largest US counties, Suffolk County, which includes Boston, comes closest to meeting its area’s need, with 51 units per 100 ELI renter households.Denton County, part of the Dallas-Ft. Worth metropolitan area, has the largest housing gap,with only 8 units per 100 ELI renters. Rust Belt areas (e.g., Detroit, MI; Chicago,IL, and Milwaukee, WI) have seen large declines in adequate, affordable, and available units. Most counties had fewer units available in 2013 than 2000. Notable exceptions to this trend include Suffolk, MA; Los Angeles, CA; and Miami, FL, which have expanded their number of available units since 2000. (1-2, footnote omitted)

The brief concludes, “Simply put, virtually no affordable housing units would be available to ELI households absent the continued investment in federally assisted rental housing.” (14)

This is an affordable housing story, but it is just as much an income story — low-income households are getting left behind in the race between rising income and expenses. One solution is to expand housing assistance for low-income families. Another is to increase income, one way or another. The bottom line, though, is that low-income households don’t have enough to make a go of it in these United States.

Friday’s Government Reports Roundup

  • The Federal Housing Finance Agency (FHFA) released its results to the Fannie Mae and Freddie Mac Guarantee Fee Review. Following the release, the FHFA announced that the fees would remain the same with modest adjustments.
  • HUD released the 2009-2011 National Rental Dynamics Reports, which tracks changes in rental housing affordability.

Nation of Renters

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.