Can non-interest rate policies stabilize housing markets? Evidence from a panel of 57 economies

This paper investigates the effectiveness of nine non-interest rate policies on house prices and housing credit using data from 57 economies and periods of up to three decades. We find that introductions or reductions in the maximum debt-service-to-income ratio, and increases in housing-related taxes, have significant negative effects on housing credit, with a typical tightening action lowering the real credit growth rate by 4–6 percentage points and by 3–4 percentage points, respectively, over the subsequent four quarters. Increases in housing-related taxes moderate house price growth, with a typical increase slowing real house price appreciation by 3–4 percentage points over the same horizon.     

The effect of real rates of interest on housing prices

During the late 1970s, U.S. house prices were appreciating rapidly even though mortgage interest rates were climbing. Recently, interest rates have eased but prices have moderated. This study examines the role of appreciation expectations in overcoming the negative effects of nominal mortgage interest rates on house prices. Expectations of future appreciation are important determinants of house sales prices, remaining influential during periods of declining and moderating real prices, not just when prices are rising. The real rate of interest, as viewed by the homebuyer, is the mechanism for affecting change in housing price levels. Because the nominal interest rate is slow to reflect changes in expectations, these real rates vary over time. This ebb and flow of real interest rates appears to explain market price levels. Nominal rates play a role as well, primarily in the formation of appreciation expectations.     

The crowding out effect of booming real estate markets on corporate TFP: evidence from China

This paper explores the impact of housing price appreciation on corporate total factor productivity (TFP) in Chinese A‐share listed corporations. Results show that increasing real estate prices negatively affect corporate TFP. Meanwhile, we find that the deterring effect is especially significant for state‐owned enterprises (SOEs), large corporations and manufacturing corporations. This research further provides suggestive evidence that managerial myopia may be one potential explanation for the crowding out effect of increasing housing prices. When home purchase is under restriction, however, the negative impact of rising housing prices on corporate TFP declines sharply. This study illustrates the efficiency cost of China's booming real estate market.     

What Drives the Owner‐Occupied and Rental Housing Markets? Evidence from an Estimated DSGE Model

Most dynamic stochastic general equilibrium (DSGE) models with a housing market do not explicitly include a rental market and assume a tight mapping between house prices and rents over the business cycle. However, rents are much smoother than house prices in the data. We match this feature of the data by adding both an owner‐occupied housing market and a rental market in a standard DSGE model. The intertemporal preference shock accounts for more than half of the variation in house prices and contributes to residential investment fluctuations through the liquidity constraint, and nominal rigidity in rental contracts captures the variation in the price‐rent ratio.     

The price and quantity of residential land in the United States

One can conceptualize a house as a bundle comprising a reproducible tangible structure and a non-reproducible plot of land. When the value of a home is decomposed this way, land capitalizes the market value of a home's location. We develop a formal relationship between the dynamics of house prices, structures costs and land prices, and thereby construct the first constant-quality price and quantity indexes for the aggregate stock of residential land in the United States. In a range of applications we show that these series can shed light on trends, fluctuations and regional variation in the price of housing.     

Spatial Variation in Reverse Mortgages Usage: House Price Dynamics and Consumer Selection

Reverse mortgages have been obtained by nearly one million senior households. In the future, the number of eligible households will grow substantially, about 80 % are homeowners, and many of them have substantial equity in their home. We study state-level variations in rate of originations of HUD’s Home Equity Conversion Mortgage (HECM) product. Our focus is on the impact of house prices on the origination rate. We test the hypothesis that in states where real house prices are volatile and the current level is above the long term norm, seniors rationally anticipate future reductions in house prices and lock-in their housing equity gains by obtaining a reverse mortgage. We test alternative hypotheses, the first being that seniors living in states with high rates of house price appreciation increase their use of HECMs as a means to convert an illiquid wealth capital gain into a more liquid asset. A second alternative hypothesis is that the intertemporal changes in originations of HECMs were a result of changes in the supply of mortgage originators. Our empirical work supports the hypothesis that seniors used HECMs to insure against house price declines, but we find no evidence in support of the alternative hypotheses.     

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.     

Joint Dynamics of House Prices and Foreclosures

This paper studies the joint transitional dynamics of the foreclosures and house prices in a standard life‐cycle incomplete markets model with housing and a realistic long‐term mortgage structure. We calibrate our model to match several long‐term features of the U.S. housing market, and analyze the effects of several unexpected and permanent shocks on the house price and the foreclosure rate both across the steady states and along the transition between the steady states. We examine permanent, unexpected shocks to the risk‐free interest rate, the minimum down‐payment ratio, and unemployment. During the transition, these shocks create large movements in house prices. More importantly, the foreclosure dynamics are quite significant along the transition compared to the steady‐state changes, and there are strong feedbacks between foreclosures and house prices. We assess the effects of a temporary reduction in the risk‐free interest rate, which has moderate effects on house prices but little effect on foreclosure dynamics. We also study the effects of an ex ante macroprudential policy, which establishes a minimum down‐payment requirement at a higher threshold. Such a macroprudential policy helps substantially stabilize both house prices and foreclosures.     

Alternative Methods of Increasing the Precision of Weighted Repeat Sales House Prices Indices

Weighted repeat sales house price indices have become one of the primary indicators used to identify housing market conditions and to estimate the amount of equity homeowners have gained through house price appreciation. The primary reason for the acceptance of this methodology is that it derives a location specific (typically, census division, state or metropolitan area) average change in house prices from repeated observations of individual house prices. It is this repeat attribute that allows repeat sales price indices to claim that it is a preferable index which does a better job of holding quality constant. The amount of time between the two observed prices for a single property is determined by when the home transacts. Some homes transact twice in a period of months and others do not transact for decades. It is likely that individual house price appreciation rates vary from the mean appreciation rate, as estimated by the index, in a systematic fashion. In general, the longer the time between transactions the more variance there is in individual house price appreciation. This paper extends this concept to include new dimensions. For instance, houses that appreciate faster than the mean, as estimated by the index for that location, may experience a different variation structure than homes that appreciate slower. This process can be viewed as an asymmetric treatment of the variance of house price appreciation around the estimated index. In addition, the variance of expensive and affordable homes may also be different and time varying. This paper finds evidence that adding the dimensions of price tiers and asymmetry to the variance estimate has merit and does affect the estimated index as well as homeowner equity estimates. Homeowner equity estimates are especially sensitive to these added dimensions because they depend on both the revised index and the estimated variances, which are specific to each dimension considered—time between transaction, asymmetry, and price tier.     

The Dependency of Rent-to-Price Ratio on Appreciation Expectations: An Empirical Approach

Using two unique datasets from different neighborhoods in Houston, TX, which provide us data for houses with similar structure (or even same house), we test the standard model of housing values to determine how the formation of households’ expectations regarding price appreciations affects housing market prices. Using these datasets we are able to address previously encountered problems in the literature such as the lack of adjustment for quality differences, the connection between prices and rents for the different type of housing, and the spatial distribution of housing. We test whether consumer behavior leads to potentially unstable market conditions with price bubbles. Our results suggest that appreciation expectations are based on past price appreciation but at the same time they depend on the fundamental factors such as, locational and structural. These findings show a hybrid consumer behavior of rational and adaptive expectations. Finally, we show how these expectations could sometimes lead to unstable price levels.     

The Life-Cycle Effects of House Price Changes

We develop a life-cycle model that explicitly incorporates the dual feature of housing as both a consumption good and an investment asset. Our analysis indicates that the consumption and welfare consequences of house price changes on individual households vary significantly. In particular, the non-housing consumption of young and old homeowners is much more sensitive to house price changes than that of middle-aged homeowners. More importantly, while house price appreciation increases the net worth and consumption of all homeowners, it only improves the welfare of old homeowners. Renters and young homeowners are worse off due to higher lifetime housing consumption costs.     

Optimal Portfolio Choices, House Risk Hedging and the Pricing of Forward House Transactions

This paper develops a utility indifference model for evaluating various prices associated with forward transactions in the housing market, based on the equivalent principle of expected wealth utility derived from the forward and spot real estate markets. Our model results show that forward transactions in the housing market are probably not due to house sellers?? and buyers?? heterogeneity, but to their demand for hedging against house price risk. When the imperfections of real estate markets and the risk preferences of market participants are taken into consideration, we are able to show that the idiosyncratic risk premium, which mainly depends on the participants?? risk preferences and the correlation between the traded asset and the real estate, is a remarkable determinant of house sellers?? and buyers?? forward reservation prices. In addition, we also find that the market clearing forward price usually will not converge toward the expected risk-neutral forward price. The sellers?? or buyers?? risk aversion degrees and market powers are also identified to play crucial roles in determining the clearing forward price.     

House prices and rents: An equilibrium asset pricing approach

We use a relatively general intertemporal asset pricing model where housing services and consumption are non-separable to measure overvaluation of housing in relation to rents in Spain, the UK and the US. Part of the increase in real house prices during the late nineties can be seen as a return to equilibrium following some undershooting after previous price peaks. However, marked increases in house prices led to price-to-rent ratios above equilibrium by mid-2003 (around 30% above equilibrium in the UK, 20% in Spain and 10% in the US). Part of that overvaluation — particularly in Spain and the UK — may be attributable to the sluggishness of supply in the presence of large demand shocks in this market and/or the slow adjustment of observed rents.     

Endogenous housing market cycles

Housing markets tend to display positive serial correlation as well as considerable volatility over time. We present a heterogeneous agent model illustrating the connection between adaptive expectations and housing market fluctuations. A dwelling serves as a shelter, as a vehicle for investment and as mortgage collateral. Interesting dynamics arise as the valuation of these three properties changes over time through the interaction of buyers, sellers and mortgagees. In the absence of credit constraints imposed by mortgagees, house prices oscillate mildly around the equilibrium price. However, credit constraints imposed by mortgagees can affect market dynamics quite dramatically with periods of mild oscillations interrupted by violent collapses. This chaotic behavior arises even though buyers, sellers and mortgagees agree on market forecasts.     

The Housing Market in the United Kingdom: Effects of House Price Volatility on Households

This paper describes the economics of the housing market and explains why house prices are likely to be more volatile than prices in other markets. It illustrates the volatility of house prices relative to some other key economic variables in the UK. The paper then considers the implications of variability in house prices for household behaviour, surveying a number of studies for the UK and elsewhere on the effects of house price volatility on consumption spending, indebtedness, labour supply, and entry to and exit from the homeownership market.     

房价预期与城镇居民家庭股市参与——理论探讨与微观经验证据

本文基于中国家庭金融调查数据,通过构建理论模型和实证检验分析了房价预期与家庭股市参与的关系,考察了行为金融偏差在房价预期影响股市参与过程中的作用,并根据背景风险、社会网络和户主特征进行异质性分析。结果表明:(1)房价上涨预期通过降低居民家庭的股票收益率预期和增加住房资产,进而降低居民家庭的股市参与概率和参与程度;(2)“心理账户”以及“有限关注”的存在显著弱化了房价上涨预期对家庭股市参与的负向作用;(3)房价上涨预期对股市参与概率和参与程度的负向作用在收入风险更高、健康状况更差、社会网络水平较低以及受教育程度偏低的家庭中更大。因此,稳定房价预期能够通过提升家庭股市参与,进而从需求角度促进股票市场的健康发展。     

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.     

我国房价的货币因素与宏观影响的动态传导研究——基于TVP-SV-VAR模型的分析

我国房地产和金融市场发展使房价进入到货币政策传导渠道中,房价与货币政策中介变量、宏观目标变量间的关系呈动态变动。本文通过TVP-SV-VAR模型研究发现:与M2和信贷相比,社会融资规模与房价的关系更稳定,且对彼此波动的反应更强;近些年房价波动对产出、物价波动的边际效应减弱,对金融稳定的影响仍较大,房价对外部因素波动的敏感性有所降低。建议国家应坚持稳定房价的总基调,把好货币供给闸门,合理管控社会融资规模增量,加强房地产各项融资监管;各地方政府应根据本地人口流入和住房库存等实际情况,合理推进房地产业发展,在发挥其积极作用的同时,防范区域金融风险。     

Selectivity,Quality Adjustment and Mean Reversion in the Measurement of House Values*

This paper develops a model of price formation in the housing market which accounts for the non-random selection of those dwellings sold on the market from the stock of existing houses. The model we develop also accounts for changes in the quality of dwellings themselves and tests for mean reversion in individual house prices. The model is applied to a unique body of data representing all dwellings sold in Sweden's largest metropolitan area during the period 1982–1999. The analysis compares house price indices that account for selectivity, quality change and mean reversion with the conventional repeat sales models used to describe the course of metropolitan housing prices. We find that the repeat sales method yields systematically large biased estimates of the value of the housing stock. Our comparison suggests that the more general approach to the estimation of housing prices or housing wealth yields substantially improved estimates of the course of housing prices and housing wealth.     

收入差距、信贷约束与房价变动

本文通过构建一个异质性代理人模型,刻画了收入差距通过信贷渠道影响房价的作用机制。研究表明,收入差距的缩小提升了低收入者的收入占比,使该类人群获得了更多的外部融资进行购房,由此产生了两方面效应:(1)信贷约束放松降低了住房流动性溢价,从而对房价产生负向影响;(2)收入上涨增加了住房边际效用较高的低收入者对房价正向影响的权重,从而使住房需求上升的效应抵消了此前的负向影响,最终促进房价上涨。通过对1970-2017年44个国家的进一步分析发现,相比于高收入者收入的下降,低收入者收入占比的上升在放松信贷约束和提升房价方面具有更显著的作用。据此本文认为:一方面要通过增加住房供给来化解城市化率提升与高房价之间的内在矛盾;另一方面,在经济增速放缓的时期,缩小收入差距,推动以“人”为核心的高质量城市化,并引导信贷资源向低收入群体倾斜是当前促进国内大循环、稳定社会融资规模和房地产市场的重要手段。