Information, Search, and House Prices: Revisited

Buyers pay different prices for nearly identical homes. One explanation for this is that housing markets are thin, resulting in price bargaining between sellers and buyers. If the relative bargaining power of buyers varies, so will sales prices. One hypothesis is that the relative bargaining strength of buyers coming from outside the local market relative to that of local residents is weak, because distant buyers have high search costs and may know less about the nuances of the local market. Our results, based upon a large number of single-family home transactions from the state of Florida, lend support to this hypothesis. Another related hypothesis is that buyers?? price expectations are anchored to prices they were accustomed to at their previous residence. Hence, if they come from high price markets they will tend to pay more for their new home. This hypothesis is also supported by our results.     

Planes,Trains, and Automobiles: The Impact of Traffic Noise on House Prices

Because of large planned infrastructural projects like expansion of the main airport and construction of high-speed railways, noise nuisance has become a national social topic in the Netherlands. Moreover, according to EU-guidelines, determination and enforcement of differentiated noise limits will be delegated from national to local governments in the near future. The value of noise has never been this important. In this paper, we estimate the non-linear impact of traffic noise on property prices. The used data set is very extensive; over 100,000 sales transactions are studied, with many individual property characteristics, combined with noise levels for 2 million small 100 by 100 m areas. We use spatial autocorrelation techniques to overcome the regular problems of traditional NIMBY-analysis performed by hedonic regression. In a rising market, we find that the impact of traffic noise ranges to 12 percent, with an average of about 5 percent. The discount varies across sub-markets, and is a non-linear function of the noise level.     

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.     

House Prices and Economic Growth

Using quarterly data for all 379 metropolitan statistic areas (MSAs) in the U.S. from 1980:1 to 2008:2, this paper empirically studies the effect of house prices on local Gross Metropolitan Product (GMP). We compare the effects of predictable and unpredictable house price changes, which we use to capture the collateral and wealth effects of house prices respectively. We further analyze the relationship between the effects and household borrowing constraints, as well as the temporal pattern of the effects. Our analysis provides the following findings. First, house price changes have significant effects on GMP growth, and the effect of predictable changes (the collateral effect) is about three times stronger than the effect of unpredictable changes (the wealth effect). Second, the persistent component of predictable changes has a stronger collateral effect than the novel component. Third, when households are more financially constrained, the collateral effect is stronger, the wealth effect is weaker, and the total effect remains unchanged. Finally, the effects last for eight quarters, and peak on the fourth quarter after house price changes take place.     

The Effect of House Prices on Household Consumption in Italy

This paper studies the effect of a change in real estate wealth on the consumption behaviour of Italian households, using the Bank of Italy’s Survey of Household Income and Wealth dataset. We relate annual household consumption to capital gains in housing, controlling for characteristics such as age. In line with the empirical predictions of our model, we find the oldest households—which are less affected by the higher costs of future rent—to be the most affected by increases in real net housing wealth. Younger households, on the other hand, are not significantly affected in their consumption decisions by house price increases. We also take into account the fact that benefiting from capital gains is conditional on owning housing wealth and estimate the different impacts of house price changes on the savings behaviours of both homeowners and renters. Our estimates suggest that house price increases raise consumption not only for homeowners but also for renters.     

The Capitalization of Building Codes in House Prices

Some research shows that homes built under tougher building codes perform better in hurricanes. While houses built after the implementation of the stronger building codes could be presumed to be “safer”, no study has measured the extent to which stricter building codes are capitalized into improved property. This study measures the capitalization of stricter building codes into house prices. In addition, the study examines whether homebuyers attach greater value to the stricter building codes after the “reality check” of the 2004 and 2005 hurricane seasons. A hedonic pricing model is used to capture the differential effect on house prices of the stricter 1994 South Florida Building Code for properties sold from 2000 through 2007 in Miami-Dade County. The model also measures any increase in the marginal value of the stronger building code after the 2004/2005 storm season. Models are estimated for the aggregate data and for three geographical zones based on risk exposure. Results show that the stricter building code has a positive effect on selling price. The greatest effect is seen in the coastal zone, which has the greatest risk exposure. Selling prices for homes built under the new code were about 10.4% higher than prices for comparable homes built under the older, less strict code. The premium for safety is shown to decrease as the hurricane risk exposure decreases. For geographical areas with less risk exposure, there is less capitalization of the stricter building code into house prices. The post-catastrophe (“reality check”) variables show that, following the minimal impact of the 2004 hurricanes on the Miami area, the premium that consumers are willing to pay for structural integrity disappears. However, after the 2005 hurricanes, which were more devastating to the Miami area, the building code premium returns.     

House Prices, Fundamentals and Bubbles

Abstract:  This paper studies actual (real) house prices relative to fundamental (real) house values. Such a focus is warranted since housing constitutes a large fraction of most household portfolios, and its characteristics are such that, in contrast to what prevails in financial markets, arbitrage will be limited and hence correction toward 'true' value is likely to be a prolonged process. Using UK data and a time-varying present value approach, our results preclude the existence of an explosive rational bubble due to non-fundamental factors. We further find that intrinsic bubbles have an important role to play in determining actual house prices although price dynamics appear to impact, particularly in periods of strong deviation from fundamental value. Price dynamics are found to be driven by momentum behaviour.     

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.     

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.     

The Impact of Bid-Ask Prices on Market Anomalies

A substantial body of literature on security market anomalies has evolved since the articulation of the efficient markets hypothesis. These anomalies include the size, January, and weekend effects. The evidence of such anomalies has been based upon returns computed from closing prices. Although readily available, analysis of closing prices may not reflect returns obtainable by public traders utilizing market orders to execute trades. We have demonstrated elsewhere that returns computed from closing prices are biased upward compared with returns that would have resulted from using market orders. This study reexamines the evidence on two market anomalies using returns generated in a manner more consistent with the actual returns available to actual market participants.     

Historic District Influence on House Prices and Marketing Duration

Historic property designations have been lauded for spurring renovation beyond the historic structures themselves through positive externalities in surrounding neighborhoods. Previous historic district research focuses on whether historic designation results in a price premium. This paper takes a more comprehensive look at the buying process, which must consider marketing duration within the historic district as well as influences on the sale of properties adjacent to the historic district. We examine how historic district designation in Baton Rogue, Louisiana is capitalized either through a price premium or marketing duration and how that mechanism differs between neighborhoods inside and outside the historic district boundaries. We employ a three stage least square, 3SLS, model to account for the effects of endogenous marketing duration on price capitalization estimates. The estimates are consistent with search-market theory in that marketing duration absorbs part of the capitalization of historic designation. We find that the more certain benefits from historic designation within the district are reflected in a price premium while the reduced regulation coupled with the cachet of being located near but not inside the district result in shorter marketing duration.     

School Quality, House Prices and Liquidity

This paper develops an empirical framework for taking into account the effects of endogenous liquidity on price capitalization estimates. Changes in school attendance zones in the East Baton Rouge Parish public school district provide a natural experiment for studying how changes in school characteristics affect house prices and liquidity. House price and selling time, or liquidity, are simultaneously determined in search markets. The empirical model exploits variation in the surrounding neighborhood market conditions pertinent to each house to identify the system of price and liquidity equations. The estimates are consistent with search-market theory in that liquidity absorbs part of the capitalization of school quality.

中国城市房价与居民消费

本文使用中国城镇住户调查数据,分析了房价对城镇居民消费的影响。平均而言,房价显著抑制了消费,且该抑制效应在不同群体间差异明显。有未婚男性的家庭,或者已经有房的家庭,特别是现有住房价值较低的家庭,房价对消费的抑制效应更强。房价对消费抑制效应的异质性与家庭购房行为的差异相一致。有未婚男性的家庭,或者上一年有房的家庭,特别是上一年住房价值偏低的家庭购房的可能性更高,上一年住房价值较高的家庭购买两套房的可能性更高。     

House Prices and Bubbles in New Zealand

This paper studies actual (real) house prices relative to fundamental (real) house values in New Zealand for the period 1970–2005. Utilizing a dynamic present value model, we find disparities between actual and fundamental house prices in the early 1970s and 1980s and from 2000 to date. We model the bubble component that is related to fundamentals (the intrinsic component), making it possible to highlight whether a bubble still exists after that component is accounted for. We then analyze any remaining bubble to detect any momentum behavior. Much of the overvaluation of the housing market is found to be due to price dynamics rather than an overreaction to fundamentals.

股票价格对信贷冲击的动态影响

本文使用基于马尔科夫区制转移方法的协整模型(MS-ECM和MS-VECM),以长期信贷需求方程为基础,研究了我国信贷市场的稳定状态与非稳定状态。实证结果显示:在信贷市场的非稳定状态中,我国股票价格变化对信贷冲击形成了较为明显的动态影响。这种动态影响的出现除了与西方学者所关注的信贷配给效应有关以外,还与信贷资金流入股市有着密切联系。另外,实体经济与信贷的动态互动可以显著增加信贷冲中击的持续性。基于以上结论,本文提出我国应该整合各种监管资源和政策工具,对股票价格变动引起持续性信贷冲击的现象进行动态预防和监控。     

The Impact of Large Portfolio Insurers on Asset Prices

We develop a simple model in which the presence of portfolio insurers in a market of risk-averse traders leads to multiple equilibria for the pricing of financial assets and can cause an increase in volatility, including insurance-induced price drops. We demonstrate, however, that centralized portfolio insurance firms may actually reduce, not increase, volatility, even if the existence of these firms increases the total amount of funds under insurance.     

Analysis of Spatial Autocorrelation in House Prices

This article examines spatial autocorrelation in transaction prices of single-family properties in Dallas, Texas. The empirical analysis is conducted using a semilog hedonic house price equation and a spherical autocorrelation function with data for over 5000 transactions of homes sold between 1991:4 and 1993:1. Properties are geocoded and assigned to separate housing submarkets within metropolitan Dallas. Hedonic and spherical autocorrelation parameters are estimated separately for each submarket using estimated generalized least squares (EGLS). We find strong evidence of spatial autocorrelation in transaction prices within submarkets. Results for spatially autocorrelated residuals are mixed. In four of eight submarkets, there is evidence of spatial autocorrelation in the hedonic residuals for single-family properties located within a 1200 meter radius. In two submarkets, the hedonic residuals are spatially autocorrelated throughout the submarket, while the hedonic residuals are spatially uncorrelated in the remaining two submarkets. Finally, we compare OLS and kriged EGLS predicted values for properties sold during 1993:1. Kriged EGLS predictions are more accurate than OLS in six of eight submarkets, while OLS has smaller prediction errors in submarkets where the residuals are spatially uncorrelated and the estimated semivariogram has a large variance.     

Nonlinear Spatial and Temporal Effects of Highway Construction on House Prices

This paper studies the effect of a newly completed highway extension on home prices in the surrounding area. We analyze non-linearities in both the effect of distance from the highway and the effect of time relative to the completion of the road segment. While previous studies of the effects of nearby amenities on property and land values have focused on either cross-sectional spatial or temporal patterns, the joint analysis of the two dimensions has not been thoroughly investigated. We use home sale data from a period of 11 years centered around the completion of a new highway extension in metropolitan Los Angeles. We combine a standard hedonic model with a spline regression technique to allow for non-linear variations of the effect along the temporal and spatial dimensions. Our empirical results show that the maximum home price appreciation caused by the new highway extension occurs at moderate distances from the highway after it is completed. Lower price increases for this period are observed for homes sold closer to the highway or much further away. This price pattern gradually fades away in the years following the construction completion. A similar, although weaker, price pattern is also observed in the first years of the construction period. There is no statistically significant distance dependency in the 2 years in our sample prior to the beginning of the construction. This indicates that the housing market is not fully efficient as the information about the impending construction of the highway is not immediately incorporated into sales prices.     

Risk and Structural Instability in US House Prices

This paper employs a Component GARCH in Mean model to show that house prices across a number of major US cities between 1987 and 2009 have displayed asset market properties in terms of both risk-return relationships and asymmetric adjustment to shocks. In addition, tests for structural breaks in the mean and variance indicate structural instability across the data range. Multiple breaks are identified across all cities, particularly for the early 1990s and during the post-2007 financial crisis as housing has become an increasingly risky asset. Estimating the models over the individual sub-samples suggests that over the last 20 years the financial sector has increasingly failed to account for the levels of risk associated with real estate markets. This result has possible implications for the way in which financial institutions should be regulated in the future.