Migration within England and Wales and the Housing Market

Economic conditions exert a strong influence on regional migration. On the one hand, strong labour market conditions, as exemplified by low unemployment rates and high earnings, draw migrants into regions. On the other hand, strong housing market conditions can prevent movement since commuting may often be an alternative to migration. This can be thought of as giving rise to a migration equilibrium where high house prices choke off migration caused by strong labour market conditions. Expected capital gains in housing, however, can offset high levels of house prices, an effect ignored in previous literature. Migration can also be influenced more directly by the availability of housing relative to population without this being mediated through prices. This paper, by Gavin Cameron, John Muellbauer and Anthony Murphy, presents evidence on inter‐regional net and gross migration between the regions of England and Wales that is broadly in accord with these expectations.     

房价空间关联的动力机制——基于空间Durbin模型的实证研究

城市房价的一个重要特征就是其空间关联性。分析了房价空间关联的四种动力机制,基于一个消费者均衡模型并利用268个城市的房价数据,应用空间Durbin模型实证检验了城市房价的空间关联性。研究表明,我国城市房价存在显著的空间关联性和明显的地区差异,相对于东中部城市,西部城市间房地产市场至少在现阶段还缺乏城市问的关联机制。     

中国城市软实力对住房价格的影响——基于主成分分析法和面板数据模型

在采用主成分分析法合成软实力综合指标构建了两阶段回归模型,运用面板数据GMM估计方法就软实力对房价的影响进行估计后发现,中国35个大中城市的软实力对城市房价均具有显著的正向作用,且这种影响从东部到西部呈现出逐渐减弱的态势。也就是说,在全国范围内,城市软实力对房价均具有显著的正向影响,且不同地区的城市软实力对房价的作用程度有所差别。由此可见,城市的人文社会因素、生态环境质量、交通区位条件对城市商品房价格的影响较为显著,对城市软实力的日益重视决定着中国城市人口的居住选择。     

Monetary policy implications of housing shift-contagion across regional markets

This paper extends the shift-contagion concept to housing price returns in order to examine co-movements between pairs of regional housing markets in the US. It associates nonlinearities of housing prices with the monetary policy criteria at disaggregate levels. The framework with Markov-switching volatility in Gravelle et al. (Journal of International Economics 68:409–423, 2006) is utilized to investigate housing contagion phenomena which are defined as the switches in the structural transmission of common shocks across regional housing markets. The empirical results suggest that interactions between regional and nationwide housing markets switch across low-volatility and high-volatility regimes of common shocks for the Northeast and the West whose housing price returns are nonlinear. In addition, there is the significantly time-varying interdependence between the West and each of the other three regional housing markets. The estimated indicator of the monetary policy effectiveness implies that monetary policies can be effective in the Northeast and the West because they are more closely linked with other regional housing markets in volatile phases which are subject to housing crises. Noticeably, the broken interrelationships between regional housing markets and real economies in the 2001 recession imply high vulnerability to housing bubbles for regional markets, while short-term monetary policies can be effective in stabilizing the housing market turmoil around 2007.     

城市居民住房购买力研究——以我国35个大城市为例

针对近年来我国房价高企,住房负担日益加重,不同地区居民购房能力差异较大等问题,分析了现有居民住房购买力测算方法,将住房价格与居民收入、消费水平、区域发展水平、住房市场的供应结构、信贷水平等因素结合起来,提出了新的测算思路和方法,并以我国35个大城市为例,对2009年城市居民住房购买力进行了实证研究。通过不同地区城市居民的住房购买能力的比较,分析城市居民购房能力的区域不均衡性问题,为制定相关住房政策提供参考。     

浅析国内商品房价格的持续上涨

近年来,国内商品房价格持续上涨,究其原因,笔者认为房价持续上涨是诸多因素共同作用的结果,本文将从中国城市化进程的加快、商品房固有的非替代性等方面进行论述。就商品房价格上涨这一现象结合城市与区域经济课程以及城市管理、经济地理学等其他专业课及经济学的相关课程的有关内容展开分析,并提出建议。     

Price dynamics in public and private housing markets in Singapore

In down-payment constrained housing consumption models, increases in house prices could trigger household mobility decisions in housing markets. This study empirically tests house price dynamics associated with the mobility of households in the public resale and private housing markets in Singapore. The results show that stochastic permanent breaks were found in the public housing resale prices and private housing prices. The relative prices drift apart occasionally, but mean-revert to a long-run fundamental equilibrium. Error correction mechanisms and lagged public housing prices were also found to have significant explanatory effects for price changes in the private housing markets. The results support the hypothesis that household mobility creates co-movements of prices in public and private housing submarkets in the long run.     

Bubble trouble ‐ are British house prices significantly overvalued?

The OECD last December said British house prices were overvalued by 30% or more. There has been much talk, including in a 2005 speech by Gordon Brown, of a house price bubble. This article, by Gavin Cameron, John Muellbauer and Anthony Murphy of Oxford University, finds no significant evidence for a bubble from a dynamic panel data model of British regional house prices between 1972 and 2003. The model consists of a system of inverted housing demand equations, incorporating spatial interactions and lags and relevant spatial parameter heterogeneity. The results are data consistent, with plausible long-run solutions and include a full range of explanatory variables. Novel features of the model include transaction cost effects influencing the speed of adjustment and housing market flows, as well as stocks, driving prices. Furthermore, the model allows for shifts in real and nominal interest rate effects as credit markets liberalised.     

基于信息熵的多属性决策方法在商品住宅价格中的研究

在市场经济条件下,房地产价格在房地产经济发展和房地产经济运行中有着重要的功能和作用,因此,对房价变动的预测以及如何能够合理制定房价,显得尤为重要。价格的预测,究其本质,是一种体现在数值上的决策活动,本文结合了多属性综合决策模型与回归分析对房价进行了预测研究。通过选取影响房价的部分宏观因素,建立基于熵的多属性综合决策模型,得到各因素与房价之间的关系,并通过回归分析,对房价进行预测。     

我国普通商品住房供求的影响因素及其稳定性研究

本文利用1997年到2009年全国以及各地区的房地产面板数据,借鉴蛛网模型的相关理论,构建供给与需求的联立方程,选择固定效应IV估计法拟合面板联立方程模型,对普通商品住房供求的影响因素及其稳定性进行了实证研究。结果表明,我国的普通商品住房市场处于不稳定状态,普通商品住房当期及滞后期的价格、城镇人均可支配收入、城镇就业人口、土地购置面积、经济适用房、别墅的供求状况等因素都对普通商品住房的供求变化产生较为显著的影响。     

Linear and nonlinear dynamic relationships between housing prices and trading volumes

This study applied linear and nonlinear causality tests and estimation models to investigate the efficiency of housing prices and volumes in the United States and its four major regions. The results of this study confirm that housing volumes can function as a price-discovery indicator. According to the nonlinear volatility of housing prices, this study verified numerous hypotheses. Housing returns can also influence housing volume. The results of this study imply that housing price efficiency can vary based on market conditions. Consequently, estimating the behavior of housing prices through a linear model can result in underestimating the information reflected by housing returns.     

The influence of racial segregation on housing prices

Census tract data were used to investigate the influence of racial segregation on housing prices in the Oakland, California housing market. White renters were found to pay a premium to live in segregated neighborhoods. Racial differences in the implicit prices of specific housing characteristics were also observed in the rental market: a unit of housing space was more expensive in the black rental submarket, while a unit of housing quality cost more in the white rental submarket. No significant differences were found in the prices paid by black and white homeowners, although for methodological reasons these results were less reliable than those for rental housing.     

School quality and housing prices: Empirical evidence from a natural experiment in Shanghai,China

The endogeneity of education quality and quantity accounts for difficulties in appropriately identifying the causal relationship between education and housing prices. To determine how education quality is capitalized into housing prices, we deal with endogeneity bias by employing a natural experiment occasioned by China’s education reforms. Based on monthly panel data for 52 residential areas in Shanghai, we conducted a natural experiment based on the exogenous designation of specific high-quality schools as Experimental Model Senior High Schools (EMSHS). Our natural experiment proved useful in analyzing how new information affected housing prices in China’s developing housing market. We found evidence that housing prices included allowances for these new EMSHS designations. In general, the presence of an additional EMSHS (of the best quality) per square kilometer increases housing prices by 17.1%. If one additional, previously non-designated high school is designated as EMSHS in a residential area, housing prices will be 6.9% higher.     

寻找中国房价的领头羊——基于20个大城市数据的实证分析

城市房价存在明显的时空关联性。本文通过构建一个简单的消费者均衡模型,并利用全局和局部Moran指数,论证了35个大中城市的房价在空间上的相关性,进一步利用交叉谱技术分析了18个大中城市房价变动周期的关联性和领先滞后关系。结果发现：1．我国35个大中城市的房价存在显著的空间自相关。2．采用Fisher’s Kapper统计量和Kolmogorov-Smirnov统计量检验发现20个城市中除重庆和厦门外,房价波动都具有显著的周期性。3．在18个大中城市中,并不存在完全同步的房价周期。同一区域不同城市之间房价周期的关联性强度存在显著差异。即使在具有较强相关性的城市之间,房价变动也并不同步而是存在多种领先滞后关系。     

Self-reinforcing effects between housing prices and credit

The financial crisis has brought the interaction between housing prices and household borrowing into the limelight of the economic policy debate. This paper examines the nexus of housing prices and credit in Norway within a structural vector equilibrium correction model (SVECM) over the period 1986q2–2008q4. The results establish a two way interaction in the long-run, so that higher housing prices lead to a credit expansion, which in turn puts an upward pressure on prices. Interest rates influence housing prices indirectly through the credit channel. Furthermore, households’ expectations about the future development of their own income as well as in the Norwegian economy have a significant impact on housing price growth. Dynamic simulations show how shocks are propagated and amplified. When we augment the model to include the supply side of the housing market, these effects are dampened.     

城市房价与制造企业盈余持续性

企业受城市房价上涨的吸引进而投资于房地产业务,这对于企业的创新活动会产生挤占效应,最终会对企业主营业务的盈余持续性产生负面影响。基于中国A股制造业上市公司的财务数据以及35个大中城市的房价数据,研究发现,房价上涨显著降低了制造企业的盈余持续性,在住房限购政策实施之后,房价对制造企业盈余持续性的负面影响有所降低。进一步研究的结果显示,在非技术密集型行业以及在非国有企业中,房价上涨对制造企业盈余持续性的负面影响更显著。     

Determinants of house prices in Istanbul: a quantile regression approach

This paper uses quantile regression methods where a hedonic equation is estimated for each quantile of the conditional distribution of housing prices. The survey data are used to investigate the relationship between house prices and housing characteristics in Istanbul. This data set includes some housing characteristics of the dwellings like numbers of room, bathroom, heating system, location of house etc. In the results of this paper show some similarities and differences from earlier studies on housing prices. We find that age, cable tv, security, heating system, garage, kitchen area, increasing numbers of room and bathroom increase the house prices. Our findings also show that side variable which is a special factor for Istanbul real estate market has negative effect on the prices. It is clear that the factors of housing prices can change because of the properties of country, region or city. The results of this study may give some important interpretations for developing real estate market.     

A mechanism for booms and busts in housing prices

The paper studies the dynamics of housing prices in a pure exchange overlapping generations framework a la Samuelson (1958) and Gale (1973), which is extended to include housing as a utility-yielding durable good and a credit sector. We completely characterize the equilibrium dynamics, which alternates between an expansive regime where leveraged borrowing increases housing prices, and a contractive regime where these variables decrease. Regime switches occur due to small but persistent income changes giving rise to boom-bust cycles in housing prices. Price deviations from fundamentals are caused by leveraged borrowing, and turn out to be fully welfare-neutral.     

Job creation and housing construction: Constraints on metropolitan area employment growth

Differences in the supply of housing generate substantial variation in house prices across the United States. Because house prices influence migration, the elasticity of housing supply also has an important impact on local labor markets. I assemble evidence on housing supply regulations and examine their effect on metropolitan area housing and labor market dynamics. Locations with relatively few barriers to construction experience more residential construction and smaller increases in house prices in response to an increase in housing demand. Furthermore, housing supply constraints alter local employment and wage dynamics in locations where the degree of regulation is most severe.     

Risk shocks and housing supply: A quantitative analysis

This paper analyzes the role of stochastic uncertainty in a multi-sector housing model with financial frictions. We include time varying uncertainty (i.e. risk shocks) in the technology shocks that affect housing production and provide estimates of the time-series properties of risk shocks by using firm level productivity data. The analysis demonstrates that risk shocks to the housing production sector are a quantitatively important impulse mechanism for understanding housing price movements. Specifically, the model can match the volatility of housing prices observed in the data. It is also demonstrated that adjustment costs are important in replicating the contemporaneous correlation of housing prices with GDP and residential investment. Critically, bankruptcy costs act as an endogenous markup factor in housing prices and are an important determinant of house price volatility. However, in comparison to housing demand shocks, risk shocks have low explanatory power for real quantities.