Population Ageing and House Prices in Australia

This article assesses the effect of population ageing on housing consumption and house prices. Using two approaches, this article finds that the ageing of the population may cause average real house prices to be between 3 and 27 per cent lower than they otherwise would be over the period 2008–2050. The first approach is an econometric estimation of house prices for Australia over the period 1980–2008. The second approach is a simulation of a life cycle‐optimising model with representative overlapping generations.     

Explaining House Prices in Australia: 1970–2003*

This paper aims to explain changes in real house prices in Australia from 1970 to 2003. We develop and estimate a long-run equilibrium model that shows the real long-run economic determinants of house prices and a short-run asymmetric error correction model to represent house price changes in the short run. We find that, in the long run, real house prices are determined significantly and positively by real disposable income and the consumer price index. They are also determined significantly and negatively by the unemployment rate, real mortgage rates, equity prices and the housing stock. Employing our short-run asymmetric error correction model, we find that there are significant lags in adjustment to equilibrium. When real house prices are rising at more than 2 per cent per annum, the housing market adjusts to equilibrium in approximately four quarters. When real house prices are static or falling, the adjustment process takes six quarters.     

Has Canadian house price growth been excessive?

The dramatic rise in the ratio of Canada's average house price to average rent has led to speculation that there is a bubble in the Canadian housing market. Others have argued, however, that the currently high level of house prices may be rationalized by the low cost of financing, given the decline in interest rates over the last two decades. In this article, we assess these arguments through the lens of a simple asset pricing model applied to city‐level data. We quantify the extent to which excess growth in Canadian house prices depends on the nature of the current regime governing real interest rates, expectations of rent growth in different cities and variations in property taxes.     

Regime switching and the (in)stability of the price–rent relationship: evidence from the US

Present value models of house prices assert that in the absence of self-fulfilling bubbles, a house price is equal to the present discount value of all future rents, which implies a linear relationship between house price and rent, and hence a stable price-to-rent ratio. Using a Markov switching error correction model, we re-examine this relationship in the US housing market and find two distinctive regimes: one with a long-run relation between house price and rent predicted by the present value models and the other in which the relation is nonlinear. Furthermore, we find evidence that deviations of house prices from the present value models’ predictions are caused by the overreaction of house prices to movements in rents rather than speculative bubbles attributable to extraneous factors.     

Convergence and spillover of house prices in Chinese cities

The issue of house price convergence in 34 Chinese cities is investigated. We augmented the convergence model with contemporaneous spatial dependence in house prices and found that price convergence and positive spatial spillover are both present. We explicitly addressed the endogeneity problem by introducing a Bayesian instrumental variable setup, which was estimated with particle filtering techniques. From a growth poles perspective, the empirical evidence indicates that the spread effect in regional house prices outweighs the backwash effect. The identified positive spatial spillover has two effects on the growth of house prices in Chinese cities. First, the spillover elevates the trajectories of the steady-state growth paths of house prices. Second, the spillover narrows the gaps between the growth paths of house prices in neighbouring cities. Shocks to the socio-economic variables of a city generate their own effects on domestic house prices that dominate the effects arising from cross-city price feedbacks, thus mitigating the prospect of level convergence. Our findings also suggest a collaborating role between time and spatial dependence parameters. The identification of inter-city spillover, which is a conditioning factor for regional house price convergence, offers implications to policies that are most likely to be effective in reducing regional disparity.     

Sunspots and self-fulfilling beliefs in the U.S. housing market

This paper provides a rational expectations equilibrium framework to organize the following observations about the U.S. housing market from 1975 to 2007: (i) housing occupancy patterns were approximately constant, (ii) rents were stable, and (iii) house prices appreciated considerably in the late 1990s. I develop a model based on search and matching theory and close it by specifying a state of household confidence that is assumed to take one of two sunspot-driven values: normal or exuberant. The model generates a substantial increase in house prices and stable rents as the probability of the exuberant state increases, driven by self-fulfilling beliefs. I explore which aspects of the parameterization are important for generating a large appreciation in house prices in the model.     

A national or local phenomenon? A comparison of the US and the Chinese housing markets

This article investigates the common movements of house prices across cities as well as the macroeconomic underpinnings of the comovements in the US and China. Our empirical results indicate more differences than similarities between the US and the Chinese housing markets. The results from a Bayesian dynamic latent factor model indicate that the fluctuations of house prices across cities in the US are more a national phenomenon, while the dynamics of house prices across cities in China are mainly driven by the city-specific component. We further use VAR models to compare the roles of the underlying determinants in these two housing markets. The results show that the roles of monetary policy shocks and aggregate fluctuations in driving the common movements of house prices across cities differ substantially between the US and China at both short and long horizons.     

Forecasting house prices for the four census regions and the aggregate US economy in a data-rich environment

This article considers the ability of large-scale (involving 145 fundamental variables) time-series models, estimated by dynamic factor analysis and Bayesian shrinkage, to forecast real house price growth rates of the four US census regions and the aggregate US economy. Besides the standard Minnesota prior, we also use additional priors that constrain the sum of coefficients of the VAR models. We compare 1- to 24-months-ahead forecasts of the large-scale models over an out-of-sample horizon of 1995:01–2009:03, based on an in-sample of 1968:02–1994:12, relative to a random walk model, a small-scale VAR model comprising just the five real house price growth rates and a medium-scale VAR model containing 36 of the 145 fundamental variables besides the five real house price growth rates. In addition to the forecast comparison exercise across small-, medium- and large-scale models, we also look at the ability of the ‘optimal’ model (i.e. the model that produces the minimum average mean squared forecast error) for a specific region in predicting ex ante real house prices (in levels) over the period of 2009:04 till 2012:02. Factor-based models (classical or Bayesian) perform the best for the North East, Mid-West, West census regions and the aggregate US economy and equally well to a small-scale VAR for the South region. The ‘optimal’ factor models also tend to predict the downward trend in the data when we conduct an ex ante forecasting exercise. Our results highlight the importance of information content in large number of fundamentals in predicting house prices accurately.     

Bubbles in UK house prices: evidence from ESTR models

Recent movements in stock and house prices have led to an examination of the presence of bubbles. Whilst, there is extensive research on stock price data, there is relatively less for house prices. This paper uses a present‐value model for house prices to test for the presence of bubbles. The results support the presence of a non‐fundamental component within UK national and regional house prices. In particular, for the majority of series considered, evidence is presented of linear non‐stationarity within the fundamental present‐value relationship, and of non‐linear stationarity, implying the presence of a non‐fundamental, or bubble, component. Furthermore, evidence is presented that prices adjust quicker when they are below fundamental equilibrium, than when they are above fundamental equilibrium, i.e. there is downward price stickiness. These results support the hypothesis that house price dynamics can be characterised by price‐to‐price momentum. Finally, forecast evidence suggests that real prices are likely to adjust downwards and converge with fundamental value.     

A model of housing and credit cycles with imperfect market knowledge

The paper presents a model of housing and credit cycles featuring distorted beliefs and comovement and mutual reinforcement between house price expectations and price developments via credit expansion/contraction. Positive (negative) development in house prices fuels optimism (pessimism) and credit expansion (contraction), which in turn boost (dampen) housing demand and house prices and reinforce agents׳ optimism (pessimism). Bayesian learning about house prices can endogenously generate self-reinforcing booms and busts in house prices and significantly strengthen the role of collateral constraints in aggregate fluctuations. The model can quantitatively account for the 2001–2008 U.S. boom-bust cycle in house prices and associated household debt and consumption dynamics. It also demonstrates that allowing for imperfect knowledge of agents, a higher leveraged economy is more prone to self-reinforcing fluctuations.     

House Prices and Stock Prices: Different Roles in the US Monetary Transmission Mechanism*

We analyze the role of house prices and stock prices in the monetary‐policy transmission mechanism in the US, using a structural vector autoregressive model. If we allow the interest rate and asset prices to react simultaneously to news, we find different roles for house prices and stock prices in the monetary transmission mechanism. Following a contractionary monetary‐policy shock, stock prices fall immediately, while the response in house prices is more gradual. Regarding the systematic response in monetary policy, stock prices play a more important role than house prices. As a consequence, house prices contribute more than stock prices to fluctuations in gross domestic product and inflation.     

House price dynamics: Evidence from Beijing

To study the house price dynamics in China, this paper extends the traditional life-cycle model by incorporating land supply, regime shifts and government regulation factors. The models are estimated with an error correction framework using quarterly data from 2000 to 2007 in Beijing. The conclusions are as follows. (1) There exits a stable co-integration relationship between house price and fundamentals; land supply and financial regimes are also important determinants of long-run equilibrium house prices. (2) Short-run dynamics depend on changes of fundamentals and the adjustment process of housing market. Land supply has a significant impact on house price fluctuations while demand factors such as user costs, income and residential mortgage loan have greater influences. The adjustment speed of real house prices to the long-run equilibrium has been reduced significantly since 2005 which means exogenous shocks can cause prolonged deviation of real house prices from the equilibrium level.     

HOUSING MARKETS AND THE GLOBAL FINANCIAL CRISIS: THE COMPLEX DYNAMICS OF A CREDIT SHOCK

We analyze the multiple channels of influence that global financial crisis‐induced credit restrictions had on New Zealand's subnational housing markets. The dynamics caused by the credit shock are compared to those caused by a migration shock, a more common form of housing shock in New Zealand. We focus on the impacts on two outcome variables, house prices and housing supply, within a structural time series model of regional housing markets. Both shocks cause substantial and prolonged cyclical adjustments in each variable. Similar cyclical dynamics could complicate the conduct of macroprudential policies designed to affect bank credit allocation. (JEL E32, E44, R21)     

THE ECONOMIC VALUE OF PROTECTING INVENTORIED ROADLESS AREAS: A SPATIAL HEDONIC PRICE STUDY IN NEW MEXICO

The objective of this paper is to examine the off‐site benefits, as capitalized into housing values, of protecting 1.6 million acres of Inventoried Roadless Areas (IRAs) in the state of New Mexico, United States. In light of petitions filed by various U.S. states to maintain the status of IRAs as roadless lands, spatial hedonic price models are estimated and used to calculate the implicit value of IRAs in New Mexico. Findings show that a two‐stage least squares (2‐SLS), robust spatial‐lag model is the most appropriate econometric representation of the hedonic price function, and that IRA lands are a significant and positive determinant of house value. After controlling for the presence of Wilderness Areas (WAs) and other characteristics, results indicate that, on average, there is a 5.6% gain in the property value of a house from being located in, or adjacent to, a Census tract with IRAs. In the aggregate, this gain represents 3.5% of the value of all owner‐occupied units in New Mexico ($1.9 billion in capitalized value, or an annualized value in perpetuity of $95 million, assuming a 5% interest rate). (JEL R22, H40, Q51, C21)     

宏观共同因子、特质因子以及货币政策对中国各线城市房价的影响——基于FAVAR模型

运用FAVAR模型,将中国各线城市房价分离出宏观共同因子和特质因子部分,研究了各因子及货币政策对房价的影响。研究发现:大城市的房价更易受宏观共同因子和地区特质因子的影响,且变动的持续性更大;共同因子可在很大程度上解释房价变动的持续性和波动性;共同因子对房价的影响较为持久,而地区特质因子只在短期内影响房价;利率和货币供应量可以有效地影响房价;相比利率,货币供应量对一线和二线城市房价水平的影响更大,对各线城市房价波动的影响更为持久;一线城市的房价水平及其波动对货币政策冲击的敏感度较高,二线城市的敏感度居中,三线城市的敏感度较低;未发现货币政策的"价格之谜"现象,表明本文模型设定的合理性较强。     

The risk of falling house prices in Italy

This paper shows that Italian house market is less exposed to price shocks than the American one. Variations in the house price index in real terms have been studied along with the affordability ratio and the relation between house prices and rent levels for the period 1995–2004 in Italian provinces. Comparison with US data reveals greater overpricing in the US during the expansion phase (2000–2004). Although a speculative bubble in all US metropolitan areas considered does not emerge, US financial and economic structural factors make the US real estate sector more exposed to price shocks. To test the compatibility of Italian house prices with fundamentals an econometric model is designed to analyze the provincial house prices from 1995 to 2003.     

Canadian city housing prices and urban market segmentation

Abstract .  This paper provides a detailed empirical analysis of Canadian city housing prices. We examine the long-run relationship between city house prices in Canada from 1985 to 2005 as well as idiosyncratic relations between city prices and city-specific variables. The results suggest that city house prices are only weakly correlated in the long run and that there is a disconnect between house prices and interest rates. City-specific variables such as union wage levels and the issuance of building permits tend to be positively related to existing city house prices. Surprisingly, there is mixed evidence with respect to standard measures of economic activity such as per capita GDP and interest rates.     

房价、房价偏离与溢出效应：来自珠江三角洲的经验证据

利用国外较新的PMG估计法,探讨影响珠江三角洲商品房均衡价值的因素及房价偏离,并采用脉冲响应函数分析房价偏离在不同城市间的溢出效应。随着收入和人口的增加,房价加速上涨;经济越发达的城市,房价收入比越大,房价的增长速度更快、波动更为剧烈。人均可支配收入是推动房价上涨最重要的长期因素,通货膨胀次之,贷款最小;但贷款、通货膨胀是主要的短期推动力。虽然珠江三角洲地区房价总体上没有明显的泡沫,但波动很剧烈,一旦发生调整,其幅度将很大。除江门外,其他城市只对深圳房价偏离的冲击做出响应,而深圳对其他城市房价偏离的冲击没有响应;江门房价更多的受到来自中山和珠海的影响,深圳是珠江三角洲房价波动的源头。     

住宅价格与居民收入均衡关系及住房支付能力稳定性

文章通过聚类分析将35个大中城市按2000-2009年住宅价格分为四组,结合面板单位根、协整和格兰杰因果检验对住宅价格和居民收入的均衡关系进行了分析,并运用FMOLS模型探讨了住房支付能力稳定性问题。分析表明:35个大中城市的住宅价格和居民收入之间存在长期均衡关系,但支付能力稳定性比较弱;住宅价格和居民收入互为因果关系;住房支付能力稳定性弱不是普遍现象,仅存在于高房价城市;除收入外,城市的食品消费、医疗、教育和交通通信等软硬件设施也是影响住宅价格的重要因素。     

城市化对房价的影响:线性还是非线性?——基于四种面板数据回归模型的实证分析

文章从线性和非线性两个角度分析了中国城市化进程对房价的影响。通过对各省历年房价和城市化的核密度估计空间分布分析,发现城市化和房价之间存在明显的正相关性,并且各省份的城市化和房价水平存在"双峰"分布特征和空间相关性。这说明在分析城市化对房价的影响时应考虑可能的门限效应和空间溢出效应这两种非线性关系。据此,文章基于中国30个省份1998-2009年的面板数据,使用普通面板回归、空间面板回归、门限面板回归和平滑门限面板回归这四种模型进行分析发现,城市化水平对本地区和相邻地区的房价均具有显著的促进作用,且在经济增长水平较高、人力资本集聚的地区,城市化对房价的促进作用更加显著。