Joseph Gyourko

Joseph Gyourko and Edward Glaeser (Forthcoming), The Economics of Housing Supply, Journal of Economic Perspectives.

Joseph Gyourko and Edward Glaeser, Rethinking Federal Housing Policy. How to Make Housing Plentiful and Affordable (Washington, DC : American Enterprise Institute Press, 2018)

Joseph Gyourko (2017), Some Thoughts on a Trump Administration’s Possible Impacts on the Real Estate Sector, PREA Quarterly.

Fernando Ferreira, Anthony DeFusco, Joseph Gyourko, Wenjie Ding (Work In Progress), The Role of Contagion in the Last American Housing Cycle.

Joseph Gyourko, Jing Wu, Yongheng Deng (2016), Evaluating The Risk of Chinese Housing Markets: What We Know and What We Need to Know, China Economic Review, 39 (), pp. 91-114.

Abstract: Real estate is an important driver of the Chinese economy, which itself is vital for global growth. However, data limitations make it challenging to evaluate competing claims about the state of Chinese housing markets. This paper brings new data and analysis to the study of supply and demand conditions in nearly three dozen major cities. We first document the most accurate measures of land values, construction costs, and overall house prices. We then create and investigate a number of supply and demand metrics to see if price growth reasonably can be interpreted as reflecting local market fundamentals. Key results include the following: (1) Real house price growth has been high, averaging 10% per annum since 2006. However, there is substantial heterogeneity across markets, ranging from 2.8% (Jinan) to 19.8% (Beijing). House price growth is driven by rising land values, not by construction costs. Real land values have risen by 14.4% per annum on average. In Beijing, the increase has been by a remarkable 27.5% per year (or by 1036%) since 2004. (2) There is variation about the strong positive trend in house price and land value growth. Land values fell by nearly one-third at the beginning of the global financial crisis, but more than fully recovered amidst the 2009–2010 Chinese stimulus. More recent growth has been much more modest, with some markets beginning to decline. Quantities of land sales by local governments to private residential developers have dropped sharply since 2013. The most recent data show transactions volumes down by half or more. This should lead to a reduced supply of new housing units in coming years. (3) Market-level analysis of short- and longer-run changes in supply–demand balances finds important variation across markets. In the major East region markets of Beijing, Hangzhou, Shanghai and Shenzhen which have experienced very high rates of real price growth, we estimate that the growth in households demanding housing units has outpaced new construction since the turn of the century. However, there are thirteen large markets, primarily in the interior of the country, in which new housing production has outpaced household growth by at least 30% and another eleven in which it did so by at least 10%. Regression results show that a one standard deviation increase in local market housing inventory is associated with a 0.45 standard deviation lower rate of real house price growth the following year. (4) There are no official data on residential vacancy rates in China, but some researchers have reported very high figures (17%+). We develop a new series at the provincial level which yields a much lower vacancy rate on average, but it has been rising—from 5.2% in 2009 to 7.8% in 2014. (5) The risk of housing even in markets such as Beijing which show no evidence of oversupply, is best evidenced by price-to-rent ratios. They are well above 50 in the capital city. Poterba's (1984) user cost model suggests these levels can be justified only if owners have sufficiently high expectations of future capital gains. Even a modest one percentage point drop in expected appreciation (or increase in interest rates) would result in a drop in prices of about one-third, absent an offsetting increase in rents.

Joseph Gyourko, Jing Wu, Yongheng Deng (2015), Real Estate Collateral Value and Investment: The Case of China, Journal of Urban Economics, 86 (1), pp. 43-53.

Abstract: Previous research on the United States and Japan finds economically large impacts of changing real estate collateral value on firm investment that amplified the business cycles of those countries. Working with unique data on land values in 35 major Chinese markets and a panel of firms outside the real estate industry, we estimate investment equations that yield no evidence of a collateral channel effect. Further analysis indicates that China's debt is not characterized by the frictions that give rise to collateral channel effects elsewhere. Essentially, financially constrained borrowers appear able credibly to commit to repay debt in China. While there is no impact on investment via the collateral channel, our results should not be interpreted as implying there will be no negative fallout from a potential real estate bust on the Chinese economy. There likely would be, but through different channels.

Joseph Gyourko, “Regulation and Housing Supply”. In Handbook of Regional and Urban Economics, edited by (Gilles Duranton, J. Vernon Henderson and William Strange), Volume 5A, Elsevier, 2015, Amsterdam, The Netherlands: Chapter 19, (:, 2015), pp. 1289-1338

Abstract: A wide array of local government regulations influences the amount, location, and shape of residential development. In this chapter, we review the literature on the causes and effects of this type of regulation. We begin with a discussion of how researchers measure regulation empirically, which highlights the variety of methods that are used to constrain development. Many theories have been developed to explain why regulation arises, including the role of homeowners in the local political process, the influence of historical density, and the fiscal and exclusionary motives for zoning. As for the effects of regulation, most studies have found substantial effects on the housing market. In particular, regulation appears to raise house prices, reduce construction, reduce the elasticity of housing supply, and alter urban form. Other research has found that regulation influences local labor markets and household sorting across communities. Finally, we discuss the welfare implications of regulation. Although some specific rules clearly mitigate negative externalities, the benefits of more general forms of regulation are very difficult to quantify. On balance, a few recent studies suggest that the overall efficiency losses from binding constraints on residential development could be quite large.

Fernando Ferreira and Joseph Gyourko (Working), A New Look at the U.S. Foreclosure Crisis: Panel Data Evidence of Prime and Subprime Borrowers from 1997 to 2012, (June 1, 2015).

Abstract: Utilizing new panel micro data on the ownership sequences of all types of borrowers from 1997-2012 leads to a reinterpretation of the U.S. foreclosure crisis as more of a prime, rather than subprime, borrower issue. Moreover, traditional mortgage default factors associated with the economic cycle, such as negative equity, completely account for the foreclosure propensity of prime borrowers relative to all-cash owners, and for the three-quarters of the analogous subprime gap. Housing traits, race, initial income, and speculators did not play a meaningful role, and initial leverage only accounts for a small variation in outcomes of prime and subprime borrowers.

Joseph Gyourko (2015), A New Direction for American Housing Policy, National Affairs.

Joseph Gyourko and Joseph Tracy (2014), Reconciling Theory and Empirics on the Role of Unemployment in Mortgage Default, Journal of Urban Economics, 80 (1), pp. 87-96.

Abstract: Empirical models of mortgage default typically find that the influence of unemployment is negligible compared to other well known risk factors such as high borrower leverage or low borrower FICO scores. This is at odds with theory, which assigns a critical role to unemployment in the decision to stop payment on a mortgage. We help reconcile this divergence by employing a novel empirical strategy involving simulated unemployment histories to measure the severity of attenuation bias in loan-level estimations of default risk due to a borrower becoming unemployed. Attenuation bias results because individual data on unemployment status is unobserved, requiring that a market-wide unemployment rate be used as a proxy. Attenuation is extreme, with our results suggesting that the use of an aggregate unemployment rate in lieu of actual borrower unemployment status results in default risk from a borrower becoming unemployed being underestimated by a factor more than 100. In addition, our analysis indicates that adding the unemployment rate as a proxy for the missing borrower-specific unemployment indicator does not improve the accuracy of the estimated model over the specification without the proxy variable included. Hence, aggregate portfolio-level risk estimates for mortgage guarantors such as FHA also are not improved. These views represent those of the authors and not necessarily those of the Federal Reserve Bank of New York or the Federal Reserve System. This is a revised version of a paper that previously circulated under the title “Unemployment and Unobserved Credit Risk in the FHA Single Family Mortgage Insurance Fund (NBER Working Paper No. 18880). John Grigsby provided excellent research assistance. We appreciate the helpful comments of Andrew Haughwout, Wilbert van der Klaauw, the editor (Stuart Rosenthal) and referees, but remain responsible for any errors.