High Rents and Land Use Regulation

photo by cincy Project

The Federal Reserve’s Devin Bunten has posted Is the Rent Too High? Aggregate Implications of Local Land-Use Regulation. It is a technical paper about an important subject. It has implications for those who are concerned about the lack of affordable housing in high-growth areas. The abstract reads,

Highly productive U.S. cities are characterized by high housing prices, low housing stock growth, and restrictive land-use regulations (e.g., San Francisco). While new residents would benefit from housing stock growth in cities with highly productive firms, existing residents justify strict local land-use regulations on the grounds of congestion and other costs of further development. This paper assesses the welfare implications of these local regulations for income, congestion, and urban sprawl within a general-equilibrium model with endogenous regulation. In the model, households choose from locations that vary exogenously by productivity and endogenously according to local externalities of congestion and sharing. Existing residents address these externalities by voting for regulations that limit local housing density. In equilibrium, these regulations bind and house prices compensate for differences across locations. Relative to the planner’s optimum, the decentralized model generates spatial misallocation whereby high-productivity locations are settled at too-low densities. The model admits a straightforward calibration based on observed population density, expenditure shares on consumption and local services, and local incomes. Welfare and output would be 1.4% and 2.1% higher, respectively, under the planner’s allocation. Abolishing zoning regulations entirely would increase GDP by 6%, but lower welfare by 5.9% because of greater congestion.

The important sentence from the abstract is that “Welfare and output would be 1.4% and 2.1% higher, respectively, under the planner’s allocation.” Those are significant effects when we are talking about  real people and real places. The introduction provides a bit more context for the study:

Neighborhoods in productive, high-rent regions have very strict controls on housing development and very limited new housing construction. Home to Silicon Valley, the San Francisco Bay Area is the most productive and most expensive metropolitan region in the country, and yet new housing construction has been very slow, especially in contrast to less-productive large cities like Houston, Texas. The evidence suggests that this slow-growth environment results from locally determined regulatory constraints. Existing residents justify these constraints by appealing to the costs of new development, including increased vehicle traffic and other types of congestion, and claim that they see few, if any, of the benefits from new development. However, the effects of local regulation extend beyond the local regulating authorities: regions with highly regulated municipalities experience less-elastic housing supply. (2, footnotes omitted)

The bottom line, as far as I am concerned, is that localities that are attempting to deal with their affordable housing problems have to directly address how they go about their zoning. If the zoning does not support housing construction, then no amount of affordable housing incentives will address the demand for housing in high growth places like NYC and San Francisco.

Comparison Shopping Savings in Mortgage Market

Alexei Alexandrov and Sergei Koulayev of the Consumer Financial Protection Bureau have posted a working paper, No Shopping in the U.S. Mortgage Market: Direct and Strategic Effects of Providing Information to SSRN. The paper is the first to answer the question, “How much do consumers lose by not shopping enough for mortgages?” (5) They find that “for the average consumer, the the difference between the actual and the lowest offered rate amounted to an extra $300 per year.” (Id.)

The abstract reads,

We document and analyze price dispersion in the U.S. mortgage market. We find significant price dispersion in posted prices in the retail channel: for example, a consumer with a prime credit score and with a 20% down payment might see a spread in interest rates of 50 basis points, controlling for all relevant consumer/property characteristics, including discount points. We also show, from survey evidence, that close to half of consumers did not shop before taking out a mortgage, and worse, many consumers do not seem to realize that there is price dispersion. Using a proprietary dataset of lenders’ ratesheets, we estimate an equilibrium model of costly search where a share of consumers holds incorrect beliefs regarding price dispersion. Whereas high search costs is one reason behind the lack of search, we show that non-price preferences also play an important role in preventing consumers from searching more; and so an effective policy would target both. In one of our counterfactuals, we show that eliminating non-price preferences results in savings of about $9 billion dollars a year.

In addition to its significant finding on a new topic (one that should have policy implications for the Consumer Financial Protection Bureau), the paper also demonstrates the value of government research on the mortgage markets.

The paper relies on data from the National Survey of Mortgage Originations. The NSMO is a survey designed by the CFPB and the Federal Housing Finance Agency.  It is sent out on a quarterly basis to a nationally representative sample of recent mortgage borrowers. Jeb Hensarling (R-TX), the Chair of the House Financial Services Committee, has introduced legislation to stop the CFPB from conducting research on the mortgage markets. That would be a bad result for consumers.