Household Leverage

I propose a life‐cycle model where a finitely lived risk‐averse household finances its housing investment by opting to provide a down payment. Given that the household may default, risk‐neutral lenders efficiently charge a default premium to hedge against expected losses. This has two major consequences. First, the higher the house price volatility, the higher the down payment the household provides to decrease the volatility of the equity share in the house. Second, in the presence of borrowing constraints, higher risk of unemployment persistence and/or a substantial drop in labor income decreases the leveraged position the household takes on.     

Illiquidity and its discontents: Trading delays and foreclosures in the housing market

The macroeconomic effects of housing illiquidity are analyzed using a novel directed search model of housing with long-term debt and default. Debt overhang emerges when highly leveraged sellers are forced to post high prices that produce long selling delays. These delays increase foreclosures, raise default premia, and curtail credit. Cheaper credit fuels temporarily higher house prices, faster sales, and fewer foreclosures, but the borrowing surge facilitates future debt overhang and default. More stringent foreclosure punishments also expand credit and, therefore, either generate higher foreclosures or more debt overhang. Leverage caps avoid this conundrum but reduce welfare by restricting borrowing.     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

Evidence on the Relationship between Housing and Consumption in the United States: A State‐Level Analysis

We estimate the dynamic effects of U.S. housing market shocks on state‐level spending and home prices from a dynamic common factor model, and identify housing demand and supply shocks using a sign‐restrictions approach. While state‐level spending and house prices gradually respond positively and persistently to aggregate housing demand shocks, there is significant variation across states in the magnitude of these responses. Cross‐state regressions of the estimated responses on an index of mortgage market development suggest that spending in states with greater opportunities for home equity borrowing is more sensitive to housing demand shocks than in states with fewer opportunities, which is consistent with the prominence of a “collateral” channel over a “wealth” channel in explaining the link between housing and the overall economy.     

Foreclosures,House Prices,and the Real Economy

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 foreclosures, 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.     

House Prices and Government Spending Shocks

We show that dynamic stochastic general equilibrium (DSGE) models with housing and collateralized borrowing predict a fall in house prices following positive government spending shocks. By contrast, we show that house prices in the United States rise persistently after identified positive government spending shocks. We clarify that the incorrect house price response is due to a general property of DSGE models—approximately constant shadow value of housing—and that modifying preferences and production structure cannot help in obtaining the correct house price response. Properly accounting for the empirical evidence on government spending shocks and house prices using a DSGE model therefore remains a significant challenge.     

Foreclosure Contagion and the Neighborhood Spillover Effects of Mortgage Defaults

In this paper, I identify shocks to interest rates resulting from two administrative details in adjustable‐rate mortgage contract terms: the choice of financial index and the choice of lookback period. I find that a 1 percentage point increase in interest rate at the time of adjustable‐rate mortgage (ARM) reset results in a 2.5 percentage increase in the probability of foreclosure in the following year, and that each foreclosure filing leads to an additional 0.3 to 0.6 completed foreclosures within a 0.10‐mile radius. In explaining this result, I emphasize price effects, bank‐supply responses, and borrower responses arising from peer effects.     

Optimal Monetary Policy Rules and House Prices: The Role of Financial Frictions

We probe the scope for reacting to house prices in simple and implementable monetary policy rules, using a New Keynesian model with a housing sector and financial frictions on the household side. We show that the social‐welfare‐maximizing monetary policy rule features a reaction to house price variations, when the latter are generated by housing demand or financial shocks. The sign and size of the reaction crucially depend on the degree of financial frictions in the economy. When the share of constrained agents is relatively small, the optimal reaction is negative, implying that the central bank must move the policy rate in the opposite direction with respect to house prices. However, when the economy is characterized by a sufficiently high average loan‐to‐value ratio, then it becomes optimal to counter house price increases by raising the policy rate.     

Explaining House Price Dynamics: Isolating the Role of Nonfundamentals

This paper examines the role of nonfundamentals‐based sentiment in house price dynamics, including the well‐documented volatility and persistence of house prices during booms and busts. To measure and isolate sentiment's effect, we employ survey‐based indicators that proxy for the sentiment of three major agents in housing markets: home buyers (demand side), home builders (supply side), and lenders (credit suppliers). After orthogonalizing each sentiment measure against a broad set of fundamental variables, we find strong and consistent evidence that the changing sentiment of all three sets of market participants predicts house price appreciation in subsequent quarters, above and beyond the impact of changes in lagged price changes, fundamentals, and market liquidity. More specifically, a one‐standard‐deviation shock to market sentiment is associated with a 32–57 basis point increase in real house price appreciation over the next two quarters. These price effects are large relative to the average real price appreciation of 71 basis points per quarter observed over the full sample period. Moreover, housing market sentiment and its effect on real house prices is highly persistent. The results also reveal that the dynamic relation between sentiment and house prices can create feedback effects that contribute to the persistence typically observed in house price movements during boom and bust cycles.     

On the valuation of reverse mortgage insurance

This article presents a closed-form formula for calculating the loan-to-value (LTV) ratio in an adjusted-rate reverse mortgage (RM) with a lump sum payment. Previous literatures consider the pricing of RM in a constant interest rate assumption and price it on fixed-rate loans. This paper successfully considers the dynamic of interest rate and the adjustable-rate RM simultaneously. This paper also considers the housing price shock into the valuation model. Assuming that house prices follow a jump diffusion process with a stochastic interest rate and that the loan interest rate is adjusted instantaneously according to the short rate, we demonstrate that the LTV ratio is independent of the term structure of interest rates. This argument holds even when housing prices follow a general process: an exponential Lévy process. In addition, the HECM (Home Equity Conversion Mortgage) program may be not sustainable, especially for a higher level of housing price volatility. Finally, when the loan interest rate is adjusted periodically according to the LIBOR rate, our finding reveals that the LTV ratio is insensitive to the parameters characterizing the CIR model.     

Housing market dynamics in a small open economy: Do external and news shocks matter?

We study the sources of fluctuations in the housing market of a small open economy. We use an estimated dynamic stochastic general equilibrium (DSGE) model and data from seven small open economies to assess the quantitative effects of both contemporaneous and news shocks to domestic and external fundamentals on housing market dynamics. External shocks and news shocks have significant effects. Cyclical fluctuations in housing prices and housing investment are mainly driven by contemporaneous shocks related to foreign housing preferences and terms of trade, and by news shocks related to domestic consumption-goods technology, housing preferences and terms of trade. The spillover effects of external shocks on housing prices are notably larger than those of domestic shocks.     

Should we Fear the Shadow? House Prices,Shadow Inventory,and the Nascent Housing Recovery

Although a broad-based increase in house prices has been observed over the past year, not everyone is convinced the rise of house prices will persist and lead to a steady recovery of the economy. The main reason for this skepticism is uncertainty about the “shadow inventory”: foreclosed homes held by investors or as REOs, which have not yet hit the market but likely will as market prices rise. The volume of shadow inventory itself in local markets is largely unknown, as is its impact on the housing market. This study quantifies the size of the shadow inventory and investigates the spatial impact of the out-flow of shadow inventory. The scope of our study is a set of housing markets (AZ, CA, and FL) that vary in both their historic housing price volatility as well as institutional factors - such as foreclosure law statutes - that may influence the relationship between the shadow inventory and house price dynamics. To address the endogeneity that characterizes the spatial interaction of house prices and the out-flow of the shadow inventory, we utilize a simultaneous equation system of spatial autoregressions (SESSAR). The model is estimated using measures of the shadow inventory derived from DataQuick’s national transaction history database and county-level house price indices provided by Black Knight. Lastly, because our estimate - as well as all other existing estimates - of the shadow inventory relies upon string matching algorithms to identify entry into and exit out of REO status, we validate the accuracy of our measures of REOs using loss mitigation data from the OCC Mortgage Metrics database.     

House prices, consumption, and monetary policy: a financial accelerator approach

We consider a general equilibrium model with frictions in credit markets used by households. In our economy, houses provide housing services to consumers and serve as collateral to lower borrowing cost. We show that this amplifies and propagates the effect of monetary policy shocks on housing investment, house prices and consumption. We also consider the effect of a structural change in credit markets that lowers the transaction costs of additional borrowing against housing equity. We show that such a change would increase the effect of monetary policy shocks on consumption, but would decrease the effect on house prices and housing investment.     

银行信贷首付约束与中国房地产价格研究

本文引入银行信贷的首付约束,建立了带有房地产部门的动态随机一般均衡模型,为分析首付约束与房地产价格关系提供了一个可操作的框架。通过和实际经济比较表明,构建的模型对中国经济和房地产价格波动有较好的解释力。本文得到了首付约束冲击对房地产价格的动态影响过程,研究证实首付约束的正向冲击不仅抬高了房地产价格,而且冲击的持久性更强;同时首付约束的正向冲击还放大了房地产价格对货币政策冲击和产出冲击的脉冲响应。     

Capital Inflows and the U.S. Housing Boom

We estimate an open‐economy vector autoregressive (VAR) model to study the effect of capital‐inflow shocks on the U.S. housing market. We look at different external shocks that generate capital inflows to the U.S., in particular “saving‐glut” shocks and foreign monetary‐policy expansions. The shocks are identified with theoretically robust sign restrictions derived from an open‐economy dynamic stochastic general equilibrium (DSGE) model. Our findings suggest that capital inflows that result from “saving‐glut” shocks have a positive and persistent effect on real house prices and real residential investment.     

Foreclosure Delay and Consumer Credit Performance

The deep housing market recession from 2008 through 2010 was characterized by a steep rise in number of foreclosures. The average length of time from onset of delinquency through the end of the foreclosure process also expanded dramatically. Although most individuals undergoing foreclosure were experiencing serious financial stress, the extended foreclosure timelines enabled them to live in their homes without making mortgage payments until the end of the foreclosure process, thus providing temporary income and liquidity benefits from lower housing costs. This paper investigates the impact of extended foreclosure timelines on borrower performance with credit card debt. Our results indicate that a longer period of nonpayment of mortgage expenses results in higher cure rates on delinquent credit cards and reduced credit card balances. Thus, foreclosure process delays may have mitigated the impact of the economic downturn on credit card default—suggesting that improvement in credit card performance during the post-crisis period would likely be slowed by the removal of the temporary liquidity benefits as foreclosures reach completion.     

The role of house prices in the monetary policy transmission mechanism in small open economies

We analyse the role of house prices in the monetary policy transmission mechanism in Norway, Sweden and the UK, using structural VARs. A solution is proposed to the endogeneity problem of identifying shocks to interest rates and house prices by using a combination of short-run and long-run (neutrality) restrictions. By allowing the interest rate and house prices to react simultaneously to news, we find the role of house prices in the monetary transmission mechanism to increase considerably. In particular, house prices react immediately and strongly to a monetary policy shock. Furthermore, the fall in house prices enhances the negative response in output and consumer price inflation that has traditionally been found in the conventional literature. Moreover, we find that the interest rate responds systematically to a change in house prices. However, the strength and timing of response varies between the countries, suggesting that housing may play a different role in the monetary policy setting.     

Waking Up from the American Dream: On the Experience of Young Americans during the Housing Boom of the 2000s

We exploit regional variations in house price fluctuations in the United States during the early to mid‐2000s to study the impact of the housing boom on young Americans' choices related to home ownership, household formation, and fertility. We also introduce a novel instrument for changes in house prices based on the predetermined industrial structure of the local economy. We find that in regions that experienced large increases in house prices between 2001 and 2006, the youngest households were substantially less likely to purchase residential property, to be married, and to have a child, both in 2006 and in 2011.     

The Impact of House Prices on Consumer Credit: Evidence from an Internet Bank

This paper shows that house price fluctuations can have a significant impact on credit availability. Data from Prosper.com, a peer‐to‐peer lending site that matches borrowers and lenders to provide unsecured consumer loans, indicate that homeowners in states with declining house prices experience higher interest rates, greater credit rationing, and faster delinquency. We find especially large effects for subprime borrowers whose balance sheets are likely most exposed to asset price declines. This evidence suggests that asset price fluctuations can play an important role in determining credit conditions and are thus a potentially significant mechanism for propagating macroeconomic shocks.     

Durables, nondurables, down payments and consumption excesses

We examine a model that generalizes the standard buffer-stock model of saving to accommodate durables, nondurables, down payment requirements, and adjustment costs in the durables market. We find that nondurable consumption becomes more volatile relative to income as down payments decrease at the individual and at the aggregate level. Moreover, for plausible parameter values, the model can explain the excess smoothness and excess sensitivity observed in U.S. aggregate data. The result follows from a gradual adjustment of consumption to permanent income shocks when agents attempt to spread out the burden of down payments over time, compounded by slow adjustment due to transaction costs.