Foreclosures, House Prices, and the Real Economy

Date01 December 2015
Published date01 December 2015
DOIhttp://doi.org/10.1111/jofi.12310
THE JOURNAL OF FINANCE VOL. LXX, NO. 6 DECEMBER 2015
Foreclosures, House Prices, and the Real
Economy
ATIF MIAN, AMIR SUFI, and FRANCESCO TREBBI
ABSTRACT
From 2007 to 2009, states without a judicial requirement for foreclosures were twice
as likely to foreclose on delinquent homeowners. Analysis of borders of states with
differing foreclosure laws reveals a discrete jump in foreclosure propensity as one
enters nonjudicial states. Using state judicial requirement as an instrument for fore-
closures, we show that foreclosures led to a large decline in house prices, residential
investment, and consumer demand from 2007 to 2009. As foreclosures subsided from
2011 to 2013, the foreclosure rates in nonjudicial and judicial requirement states
converged and we find some evidence of a stronger recovery in nonjudicial states.
THE POST-2006 COLLAPSE IN THE U.S. housing market led to a 35% drop in house
prices and an increase in mortgage delinquency rate that reached over 10% in
2009. Mortgage contracts give lenders the right to foreclose on a home if the
homeowner defaults on his payment obligations. When a major shock hits the
economy and millions of homeowners simultaneously default, theory suggests
that the fire sale of foreclosed homes could lead to a further reduction in house
prices, threatening real activity, such as residential investment and consumer
demand.1
As Figure 1shows, the default rate on household debt and foreclosures sky-
rocketed from 2006 to 2009, before falling sharply from 2010 to 2013. In this
paper we investigate the effect of this unprecedented foreclosure wave on house
prices and real activity. Shedding light on this question can help us better un-
derstand the transmission and amplification of financial shocks into the real
Mian is with Princeton University and NBER. Sufi is with the University of Chicago Booth
School of Business and NBER. Trebbi is with the University of British Columbia, CIFAR, and
NBER. We thank Paul Beaudry; John Cochrane; Kris Gerardi; Christopher James; Francisco
Perez-Gonzalez; Jesse Shapiro; Jeremy Stein; Robert Vishny;Susan Woodward; Kenneth Singleton
(the Editor); an anonymous Associate Editor; two anonymous referees; and seminar participants
at Boston College, Boston University, MIT, the NBER Summer Institute, Stanford University, the
University of British Columbia, the University of Chicago, Yale,and UCLA for comments. We also
thank the National Science Foundation and the Initiative on Global Markets at the University
of Chicago Booth School of Business for funding. Filipe Lacerda and Mauricio Larrain provided
excellent research assistance. The Internet Appendix may be found in the online version of this
article.
1Models that emphasize amplification of shocks from the leverage-induced forced sale of durable
goods include Shleifer and Vishny (1992), Kiyotaki and Moore (1997), Krishnamurthy (2003,2010),
and Lorenzoni (2008).
DOI: 10.1111/jofi.12310
2587
2588 The Journal of Finance R
1
1.5
2
2.5
3
Foreclosures, millions
.02
.04
.06
.08
.1
Household default rate
1993 1998 2003 2008 2013
Household default rate, [left axis]
Foreclosures, millions [ri
g
ht axis]
Figure 1. Household default rate and foreclosures. This figure shows aggregate foreclosures
in the United States from RealtyTrac.com and the household default rate from Equifax.
economy.However, isolating the causal effect of foreclosures is difficult because
of omitted variables and reverse causality. The latter effect is especially impor-
tant: homeowner, will only allow a foreclosure to occur if they are underwater
on their mortgage. As a result, house price declines will be strongly correlated
with foreclosures even if foreclosures have no direct effect on house prices.
To estimate the effect of foreclosures on economic outcomes, we take advan-
tage of differences in state laws in the foreclosure process. In particular, some
states require that a foreclosed sale take place through the courts (judicial
foreclosure states). In these states, a lender must sue a borrower in court be-
fore conducting an auction to sell the property. Other states do not have such
a requirement (nonjudicial foreclosure states) and give lenders the automatic
right to sell the delinquent property after providing only a notice of sale to the
borrower. As first highlighted in the economics literature by Pence (2006), the
21 states that require judicial foreclosure impose substantial costs and time on
lenders seeking to foreclose on a house.
Do legal differences in foreclosure laws affect the propensity to foreclose on
a home? We find that the answer is a resounding yes. For example, during
the heart of the foreclosure crisis in 2008 and 2009, a delinquent homeowner
in a nonjudicial foreclosure state was more than twice as likely to experience
foreclosure on a delinquent home, with 1.6 foreclosures per homeowner with
a mortgage in judicial foreclosure states versus 3.6 in nonjudicial foreclosure
states.
Zip code-level analysis around bordering states that differ in their foreclosure
laws shows a discontinuous jump in foreclosure propensity as one moves from
Foreclosures, House Prices, and the Real Economy 2589
a judicial to nonjudicial state. A similar jump is observed when we look at
listings of new houses for sale, and the higher foreclosure propensity persists
until 2010. Thus, differences in state laws are associated with a large increase
in foreclosure rates that translates into greater housing supply on the market.
The strong correlation between state foreclosure laws and foreclosure propen-
sity suggests that state laws may be used as an instrument for foreclosures. But
what drives the difference in state foreclosure laws? It is possible that differ-
ences in state foreclosure laws are spuriously correlated with state attributes
that independently influence foreclosure propensity.
Ghent (2012, p. 2) performs an in-depth analysis of the history of state foreclo-
sure laws and concludes that “there do not seem to be clear economic reasons for
the different patterns of development in America’s mortgage laws.” She traces
differences in state mortgage laws to “path-dependent quirks.” Consistent with
Ghent’s observations, we find that state foreclosure laws are orthogonal to a
wide range of state-specific economic attributes.
State-level analysis shows that there are no significant differences between
judicial and nonjudicial states in terms of mortgage defaults, house price
growth from 2002 to 2005, the level of house prices in 2005, leverage or debt-
to-income growth from 2002 to 2005, the fraction of subprime mortgages, mort-
gage interest rates from 2002 to 2005, loan-to-value ratios from 2002 to 2005,
household income, the precrisis unemployment rate, racial mix, poverty rate,
or education level. Similarly, the sharp discontinuity in the zip code-level anal-
ysis exists only in foreclosure propensity: there is no equivalent jump in other
zip code-level attributes including credit score, income, race, education, default
rate, or house price growth from 2002 to 2005.2
Given the strong effect of the judicial foreclosure requirement on foreclosures
and the abundant evidence that states with and without this requirement are
otherwise similar, we use state foreclosure laws as an instrument to estimate
the effect of foreclosures on house prices. We find that foreclosures have a
strong effect on house prices. Moving from the median to the 90th percentile
of the foreclosure per homeowner distribution leads to eight-percentage-point
lower house price growth from 2007 to 2009. A back-of-the-envelope calculation
suggests that the foreclosure-induced increase in supply of houses can plausi-
bly explain the entire effect of foreclosures on house prices. For example, our
estimates imply that a foreclosure-induced increase of 10% in the supply of
houses in nonjudicial states decreased house prices by four percentage points.
Theoretical models predicting a supply-induced price effect of foreclosures
often rely on temporary market displacement where natural buyers of an asset
face limits in their ability to purchase homes, a phenomenon known as a fire
sale.3In these models, a price rebound can occur if the flow of houses hitting
the market slows. A price rebound could also occur if limits on the ability
2We also analyze at length any ex ante differences in availability of credit between judicial and
nonjudicial states, and find no significant differences during the credit boom years of 2001–2005.
See Section III for further discussion.
3Shleifer and Vishny (1992), Krishnamurthy (2003), and Lorenzoni (2008) emphasize that the
negative effect of asset sales on prices is amplified when the economy is weak and potential buyers

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