Anisotropic Autocorrelation in House Prices

This article examines anisotropic spatial autocorrelation in single-family house prices and in hedonic house-price equation residuals using a spherical semivariogram and transactions data for one county in the Philadelphia, Pennsylvania, MSA. Isotropic semivariograms model spatial relationships as a function of the distance separating properties in space. Anisotropic semivariograms model spatial relationships as a function of both the distance and the direction separating observations in space. The goals of this article are (1) to determine whether there is spatial autocorrelation in hedonic house-price equation residuals and (2) to empirically examine the validity of the isotropy assumption. We estimate the parameters of spherical semivariograms for house prices and for hedonic house-price equation residuals for 21 housing submarkets within Montgomery County, Pennsylvania. These housing submarkets are constructed by dividing the county into 21 groupings of economically similar adjacent census tracts. Census tracts are grouped according to 1990 census tract median house prices and according to characteristics of the housing stock. We fit the residuals of each submarket hedonic house price equation to both isotropic and anisotropic spherical semivariograms. We find evidence of spatial autocorrelation in the hedonic residuals in spite of a very elaborate hedonic specification. Additionally, we have determined that, in some submarkets, the spatial autocorrelation in the hedonic residuals is anisotropic rather than isotropic. The empirical results suggest that the spatial autocorrelation in Montgomery County single-family house-price equation residuals is anisotropic in submarkets where residents typically commute to a regional or local central business district.     

经济集聚、人口流动与住宅价格空间溢出效应研究

基于省级面板数据,利用空间计量模型考量经济集聚、人口流动和住宅价格间的空间溢出效应关系.结果发现:中国省际住宅价格间存在着显著的正向空间相关性,即某一地区住宅价格的波动会受到周边地区或经济特征类似地区住宅价格波动的影响;人口流动在经济集聚和房价的关系中发挥着中介作用;经济集聚与住宅价格在空间上存在着显著的相关关系,经济集聚不仅会推高集聚中心住宅价格,还会通过"虹吸效应"和"涓滴效应"对周边住宅价格产生影响,而经济集聚对周边住宅价格的影响取决于人口净流入率的大小.     

The Interaction between Mortgage Financing and Housing Prices in Greece

Although the close empirical relationship between the evolution of mortgage lending and housing prices is well established in the literature, the direction of causation is less clear from a theoretical standpoint. We apply multivariate cointegration techniques in order to address this issue empirically for the Greek economy. Our results, based on a cointegration relationship that we identify as a mortgage loan demand equation, indicate that housing prices do not adjust to disequilibria in the market for housing loans. This suggests that in the long run the causation does not run from mortgage lending to housing prices. In the short run we find evidence of a contemporaneous bi-directional dependence.

The Impact of TOM on Prices in the US Housing Market

The Journal of Real Estate Finance and Economics - Search theory shows that real property prices and marketing durations are simultaneously determined and positively related. Yet, empirical studies...     

The Announcement Effect of an Airport Expansion on Housing Prices

The purpose of this study is to examine the influence of the announcement of a new airport hub on housing prices near the airport. While numerous studies of airport noise have found that high noise levels reduce property values, few have been able to measure the announcement effect on values. The results indicate that after controlling to extraneous influences, housing property prices in a 2.5 mile band from the Greensboro/High Point/Winston Salem metropolitan airport declined approximately 9.2% in the post-announcement period. In the next 1.5-mile band, house prices declined approximately 5.7% in the post-announcement period.     

The Impact of Financial Arrangements and Institutional Form on Housing Prices

Dwellings in housing cooperatives constitute 15% of the Norwegian housing property market. The price paid for such dwellings consists of two elements: An equity price and a share of the mutual debt held by the cooperative. The interest rate paid on the housing cooperative’s mutual debt is in Norway lower than the interest rate paid on private loans. This gives rise to an “interest discount effect”. We find convincing empirical support for the interest discount effect, which contributes to a higher equity price for dwellings in housing cooperatives than for self-owned dwellings. On the other hand, we also find empirical support for a co-op discount of 9.3%. The co-op discount work in the direction of making cooperative dwellings more affordable.     

中国城市住房价格动态特征及其影响因素

本文从理论和实证两个层面分析了1997-2007年中国35个大中城市的房价动态特征,并考察了城市因素对房价动态参数的影响。所得主要结论有:中国城市房价具有强序列相关和弱均值回归特征;住房使用成本、地区市场化指数、土地交易价格指数及其变化对序列相关系数有显著影响;真实收入及其变化、建造成本、地区市场化指数对均值回归系数有显著影响;各城市的房价动态参数拟合值几乎全部落入震荡收敛区内,东部城市房价的波动振幅普遍高于中西部城市;1999年后35个大中城市的平均房价波动振幅有逐渐增大的趋势,尤其是2007年的房价波动振幅出现了非正常增长,但波动频率变化幅度不大。     

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.     

住房价格、房屋购买与中国家庭杠杆率

本文基于中国家庭追踪调查的微观数据以及相匹配的城市层面的住房价格数据,从住房购买需求的角度,给出了一个近年来家庭杠杆率急剧上升的解释。利用中国家庭追踪调查的微观数据探讨了房价上涨对家庭杠杆率的作用机制以及潜在影响。结果表明,住房价格的快速上涨推动了家庭杠杆率的急剧攀升,从数量上看,房价每上涨1倍,样本期间的家庭贷款数额将会增长288.1%,家庭杠杆率将上升39.2%,而此部分贷款的增加主要来源于银行贷款而非私人借贷,由房价导致的家庭借贷数额和杠杆率的上升大概占到购房家庭总体借贷数额和杠杆率上升的90%左右。机制分析表明,住房价格的快速上涨刺激了家庭必需型和投资型住房需求,并提高了家庭的借贷意愿和风险偏好。分样本的探讨发现,这一效应对于非农户口家户以及有配偶和子女家户的影响更为明显。     

The Anticipated Capitalisation Effect of a New Metro Line on Housing Prices*

Housing units with closer access to public transportation enjoy a higher market value than those with similar characteristics but poorer access. This difference can be explained by the lower cost of transport to the main workplaces and shopping areas in town. For this reason, investments in public transport infrastructure, such as building a new metro line, are capitalised totally or partially into land and housing prices. This work empirically analyses the degree of capitalisation into housing prices of the benefits of the new Line 4 of the Santiago metro system, which began operating in December 2005. We focus on anticipated capitalisation into housing prices at the moment construction of Line 4 was announced and at the moment information on the basic engineering project was unveiled, identifying the location of the future stations. We use a unique database containing all home buying and selling transactions in the Greater Santiago area between December 2000 and March 2004. The results show that the average apartment price rose by between 4.2 per cent and 7.9 per cent after construction was announced and by between 3.1 per cent and 5.5 per cent after the location of the stations was identified. These increases were not distributed evenly, but depended on the distance from the apartment to the nearest station. An indirect effect of this kind of capitalization is that property tax collections will increase if property is reappraised following the price rise. This effect is not negligible in magnitude and could represent 11 to 17 per cent of investment in the new metro line. This raises and interesting discussion on how the metro network extension is financed.     

Leverage,Consumer Finance,and Housing Prices in China

In this article, we focus on the effect of household borrowing behavior on housing prices in China, under the background of rapid growth of consumer finance during the past decade. We build a micromodel to deduce the relationship between consumers’ leverage, housing enterprises’ leverage, and housing prices and use a dynamic panel model and panel error correction model to do the empirical work. The results show that the first- and second-tier cities of China are greatly influenced by leverages, the second-tier cities also by local growth, and the third-tier cities are weakly affected by leverages but greatly affected by the land prices. Further explanations and discussions of the empirical results are given accordingly.     

Trading Volume-Induced Spatial Autocorrelation in Real Estate Prices

Spatial dependence is often seen as a problem in econometrics rather than in economics. This study seeks to find an economic explanation for spatially correlated real estate prices. We posit spatial dependence as a process to discover price information from neighboring property transactions. Weaker spatial dependence is expected when price information in the immediate vicinity of a subject property is abundant. In the context of apartment buildings, in addition to the more commonly known horizontal dependence, there is also spatial dependence in the vertical dimension within the same building. Based on more than 18,000 transactions of highly homogeneous apartment units in Hong Kong, we found that the trading volume of a building depresses horizontal spatial dependence, but raises vertical spatial dependence. This not only confirmed the role of trading volume in the real estate price discovery process, but also questioned the validity of constant spatial autocorrelation assumption adopted in many studies.     

Predictive Modeling in Long-Term Care Insurance

The accurate prediction of long-term care insurance (LTCI) mortality, lapse, and claim rates is essential when making informed pricing and risk management decisions. Unfortunately, academic literature on the subject is sparse and industry practice is limited by software and time constraints. In this article, we review current LTCI industry modeling methodology, which is typically Poisson regression with covariate banding/modification and stepwise variable selection. We test the claim that covariate banding improves predictive accuracy, examine the potential downfalls of stepwise selection, and contend that the assumptions required for Poisson regression are not appropriate for LTCI data. We propose several alternative models specifically tailored toward count responses with an excess of zeros and overdispersion. Using data from a large LTCI provider, we evaluate the predictive capacity of random forests and generalized linear and additive models with zero-inflated Poisson, negative binomial, and Tweedie errors. These alternatives are compared to previously developed Poisson regression models.

Our study confirms that variable modification is unnecessary at best and automatic stepwise model selection is dangerous. After demonstrating severe overprediction of LTCI mortality and lapse rates under the Poisson assumption, we show that a Tweedie GLM enables much more accurate predictions. Our Tweedie regression models improve average predictive accuracy (measured by several prediction error statistics) over Poisson regression models by as much as four times for mortality rates and 17 times for lapse rates.     

房价过快上涨对实体经济的影响:文献综述

自1998年启动住房分配货币化改革以来,我国房地产市场发生了革命性的变化,房地产业已成为国民经济的重要支柱。而历史经验则已反复证明,如果经济发展过分倚重房地产,听任房地产价格持续快速上涨,将对投资及全要素生产率、消费、收入分配、财富分布,以及财政收入产生不利影响,并有可能诱发系统性风险,进而影响国民经济持续稳定健康发展。因此,要从供给侧加大改革力度,加大土地供给数量,调整财税体制,加快推进房地产税立法工作,加快形成促进房地产市场稳定发展的长效机制。     

Housing Prices,Yields and Credit Conditions in Dublin since 1945

The Journal of Real Estate Finance and Economics - Housing is central to the broader economy, as highlighted by the Great Recession of 2007–2009, yet few reliable long-run series exist for...     

Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity

Existing literature on housing prices is predominantly in a linear framework, and an important question that has not been addressed is whether housing prices exhibit nonlinearity. We examine Smooth Transition Autoregressive (STAR) model based nonlinear properties of housing prices over the 1969–2004 period for the entire US and the four regions. Our main findings are (1) housing price for the entire US and all regions except for the Midwest show non-linearity, (2) the dynamic properties implied by the nonlinear estimation explain the typical patterns that have characterized each housing market, and (3) results of Granger causality tests look more plausible in the nonlinear framework where we find stronger evidence of Granger causality from housing price to employment and also from mortgage rates to housing price.

流动性过剩与价格上涨密切相关

流动性过剩将会长期存在。从2000年开始谈论的流动性过剩问题，这么多年一直没有消除掉，其主要原因是经济发展的失衡，且没有任何一个国家愿意在这个过程中付出代价。我的演讲将围绕以下问题，第一，如何理解流动性过剩在中国。第二，人民银行能否对冲过剩的流动性。实际上是做不到的。因为很多货币供给已在货币当局的监控之外。第三，流动性过剩必然会导致这轮价格的上涨和资产价格的膨胀。第四，对流动性过剩不应做好或坏的判断，而要客观评定。如何利用流动性过剩，来改造目前的经济结构。最后，流动性过剩和资产价格的膨胀会长期存在。     

Dwelling Age,Redevelopment, and Housing Prices: The Case of Apartment Complexes in Seoul

The aging of a housing structure not only leads to depreciation but also increases the possibility of redevelopment. If redevelopment accompanies an increase in structural density in order to accommodate the increased demand for housing, it provides large capital gains to the existing owners. In this case, expectations of redevelopment in the near future and the eventual announcement of redevelopment plans can have a strong positive impact on the current price of housing. We test this hypothesis using a hedonic pricing model designed to decompose the age effects into depreciation effect and redevelopment effect. Based on 3,474 observations on apartments in Seoul in 2001, estimation results confirm our hypothesis. While the depreciation effect dominates the redevelopment effect until 15 to 19 years of age, depending on the specification, the redevelopment effect eventually dominates the depreciation effect thereafter, causing the apartment price to increase. At 27 years of age, the apartment price decreases by as much as 4553 percent of the initial value, due to depreciation. However, the redevelopment effect increases the price by as much as 2832 percent, driving the price up to 7687 percent of the original value.     

房价对城镇居民收入差距的影响研究

依据我国33个大中城市2000—2017年的面板数据构建动态面板模型,考量房价对城镇居民收入差距的影响及区域性差异。结果表明:房价上涨对于城镇居民收入差距扩大具有显著正向影响,且对东部城市的影响显著高于非东部城市,人均GDP、政府教育投入、城镇人口比重和第三产业比重也对城镇居民收入差距具有一定影响。鉴此,宜从税收政策、产业结构、政府教育投入及居住成本等方面合理控制城镇居民收入差距。