The price responsiveness of housing supply in OECD countries

The responsiveness of housing supply to changes in prices bears important implications for the evolution of housing prices and the speed of adjustment of housing markets. Based on a stock-flow model of the housing market estimated within an error correction framework, this paper estimates the long-run price elasticity of new housing supply in 21 OECD countries. Estimates suggest that the responsiveness of housing supply to price changes varies substantially across countries. It is relatively more flexible in North America and some Nordic countries, while it is more rigid in continental European countries and in the United Kingdom. The responsiveness of housing supply depends not only on national geographical and urban characteristics but also on policies, such as land use and planning regulations.     

房地产住宅价格影响因素的实证分析——以沈阳市为例

住宅价格是房地产市场的晴雨表,能够反应房地产市场的供需情况,以及政策的影响。本文通过对沈阳市住宅价格影响因素进行分析,确立研究指标,并借助沈阳市2002年到2011年统计数据,运用Eviews软件对数据进行回归分析,得到沈阳市商品住宅价格变动回归方程,从而为房地产企业决策及政府制定政策提供理论依据。     

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.     

Optimal density of radial major roads in a two-dimensional monocentric city with endogenous residential distribution and housing prices

This paper proposes an analytical urban system equilibrium model for optimizing the density of radial major roads in a two-dimensional monocentric city. The proposed model involves four types of agents: local authorities, property developers, households and household workers (i.e. commuters). The local authorities aim to maximize the total social welfare of the urban system by determining the optimal density of radial major roads in the city. The property developers seek to determine the intensity of their capital investment in the land market to maximize the net profit generated from the housing supply. The households choose residential locations that maximize their utility within a budget constraint, and the commuters choose the radial major roads that minimize their individual costs of travel between home and workplace. A heuristic solution procedure is developed to find the urban system equilibrium solution. A system optimum model is also proposed to optimize the density of radial major roads that maximizes the social welfare of the urban system. The proposed model can endogenously determine household residential distribution and land values across the city, along with the housing market structure in terms of housing prices and space. Numerical comparative static analyses of congestion pricing and road infrastructure investment (adding a new radial major road) are carried out together with evaluation of the effects of the service level of radial major roads, urban population size, and household income level on the urban economy.     

MARKET INDUCED AND GOVERNMENT MANDATED ENERGY CONSERVATION IN THE HOUSING MARKET: Econometric Evidence from the U.S.

This paper integrates and compares me results of two large-scale econometric analyses of the effects of residential energy prices upon the U.S. housing market. A simple model of energy consumption in the housing market is developed, and the results of these studies are compared with the common model. The two studies, using very different bodies of data and very different econometric techniques, yield very similar implications in terms of household expenditures and patterns of consumption. In particular, both studies confirm the importance of "natural conservation" in the housing market. Higher energy prices lead to substantially lower consumption of residential energy, even in the absence of regulation. In particular, it is estimated that a doubling of energy prices leads to a reduction of residential energy consumption of about twenty-five percent.     

我国新建住宅长期供给价格弹性估算——基于35个大中城市的实证研究

大多数住宅模型和政策分析,都直接或间接依赖于住宅供给价格弹性的估计值：为了应对市场需求冲击,是多供给住房还是提高住宅价格？基于Mayo（1981）构建的模型,估算了我国35个主要大中型城市的新建住宅供给价格弹性。根据流量模型,2000-2007年我国的新建住宅价格弹性系数在4-11之间,2008到2013年的价格弹性在5-13之间。而存量调整模型得到了截然不同的估算结果：2008-2013年我国的新建住宅供给价格弹性在1-6之间,更精确的估算出了我国新建住宅供给市场的价格弹性。     

房产税对房产市场影响的实证研究——上海模式和重庆模式的比较

文章首先运用HP滤波的方式分析了沪渝两地房产税对新房和二手房在价格和成交量上的影响,发现上海房地产市场对房产税的的征收反应更为理性,影响效果更好,但两地区新房和二手房市场的反映都存在差异;此外,利用房价对数模型,发现房产税都能有效的影响两地的房价,但由于影响两地房价的因素有很大的差异,效率并不一样,上海地区房产税每增加1%,房价将下降0.553%,重庆地区房产税每增加1%,房价将下降0.041%。因此国家需区别对待新房和二手房市场,并且因地制宜,推广不同的房产税模式。     

Housing transactions and macroeconomic fluctuations: a case study of England and Wales

This paper focuses on the drivers for transactions of residential properties using England and Wales as a case study. We present a non-technical discussion of a theoretical framework that rationalizes the positive correlation of income, housing prices and housing transactions over the business cycle. We then extend the theoretical framework to explain how the credit market liberalization of the early 1980s, demographic changes and construction activity have affected the trend in housing transactions and contributed to making the 1980s a period of exceptionally high transaction levels in England and Wales. We present evidence in support of the view that housing demand fluctuations have been the key driver of housing transactions, in particular, changes in housing demand from first-time buyers.     

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.     

Heterogeneous expectations,boom-bust housing cycles,and supply conditions: A nonlinear economic dynamics approach

We combine a standard stock-flow housing market model, incorporating explicit relationships between house prices, the housing stock, and the rent level, with a parsimonious expectation formation scheme of housing market investors, reflecting an evolving mix of extrapolative and regressive expectation rules. The model results in a two-dimensional discrete-time nonlinear dynamical system. Based on realistic parameters, the model is able to generate endogenous boom-bust housing market dynamics with lasting periods of overvaluation and overbuilding. We thus exploit our model to investigate how real forces, in particular supply conditions, interact with expectations-driven housing market fluctuations.     

House Prices and Housing Investment in Sweden and the UK: Econometric Analysis for the Period 1970–1998

We estimate quarterly dynamic housing demand and investment supply models for Sweden and the UK for the sample period 1970–1998, using an Error Correction Method (ECM). To facilitate comparisons of results between Sweden and the UK we model both countries identically with approximately almost the similar type of exogenous variables. The long–run income elasticities for Sweden and the UK are constrained to be 1.0, respectively. The long–run semi–elasticity for interest rates are 2.1 and 0.9 for Sweden and the UK. The speed of adjustment on the demand side is 0.12 and 0.23, while on the supply side it is 0.06 and 0.48 for Sweden and the UK, respectively. Granger causality tests indicate that income Granger causes house prices for Sweden, while for the UK there is also feedback from house prices to income. House prices Granger cause financial wealth for Sweden, while for the UK it is vice–versa. House prices cause household debt for Sweden, while for the UK there is a feedback from debt. Interest rates Granger cause house prices for the UK and Sweden. In both countries Tobin's q Granger cause housing investment. Generally, the diagnostic tests indicate that the model specifications were satisfactory to the unknown data generating process.     

基于财产税征收的不动产价值评估——对北京市4个内城区的实证分析

通过对2006年北京市东城区、西城区、宣武区、崇文区4个行政区461个二手房交易有效数据的多元回归分析,建立了不动产价值批量评估模型,并对25个二手房交易价格与评估价格进行了比较.研究认为,可以通过建立健全不动产交易数据信息系统,对未来财产税征收为目的的不动产价值进行高效率、低成本的批量评估.建议对不动产市场交易不活跃的城镇,结合城镇土地定级估价成果和建筑物价值的成本法评估,合理确定基于财产税征收目的的不动产价值.     

The Amsterdam rent index: The housing market and the economy, 1550–1850

The paper investigates the long run historic development of the Amsterdam rental housing market (1550–1850). Using rent data on a large cross section of residential properties in Amsterdam we are able to develop an annual constant-quality rent index for the entire time period. Whereas nominal rents nearly tripled over the considered sample period, average Amsterdam house rents, in real terms, had approximately the same level in 1850 as they exhibited in 1550. Otherwise stated, nominal rents and goods prices rose at the same pace. Over these 301 years, the real index moves between a minimum level of 45.6 and a maximum of 162.4. As concerns the relation between the housing market and the real economy, we find empirical evidence that fluctuations in rents and fluctuations in proxies of business cycle activity comove, both in nominal and in real terms.     

Property Tax and Housing Returns

This paper evaluates the effects of property tax on housing. While land tax and capital gains tax are widely used for curbing hoarding of land and speculation, its effectiveness is inconclusive. The imposition of a capital gains tax will impair the liquidity of property transaction, lower the rate of return on property investment, and reduce revenue from land sales which represents an important tax resource for the communities. This paper shows that a capital gains tax is capitalized into housing prices. Individuals tend to postpone the purchase of houses because of transaction taxes. Using an impulse response function, we show that a transaction tax has a dynamic negative impact on housing returns. While this paper focuses on Hong kong, for the purpose of comparison Singapore and Taiwan are also discussed.     

List price and sales prices of residential properties during booms and busts

This paper investigates the relationship between the list and sale price of residential properties over the housing cycle. In down or normal markets the list price generally exceeds the sales price; however, when the housing market is strong, homes sell for more than their list price. This observation is not consistent with the assumptions made in the standard model of home sellers’ search behavior. We consider alternative models. In one, sellers set list prices based on their expectations of future changes in sales prices and the arrival rate of buyers; however, demand shocks occur. This model partially explains our data from the Belfast, U.K. housing market, but it fails to predict the list to sales price ratio during a sustained housing boom. We next describe a model where sellers’ endogenously select their search mechanism depending on the strength of the housing market. We find support for the conjecture that sellers switch to an auction-like model during housing booms. There also is evidence that during a downturn in the market, sellers’ list prices are sticky.     

基于系统动力学的房产税政策仿真研究

为了科学、有效地分析房产税对房地产市场的调控作用,提高房地产政策的合理性与前瞻性,有必要建立商品住宅系统政策仿真模型,深入分析住宅系统内各因素之间的反馈关系。基于建立的住宅仿真模型,实现对房产税政策的模拟实验,得出房产税政策对住宅需求市场以及住宅价格的影响程度。本文以昆明市房地产市场作为研究样本,利用仿真系统进行了实证分析。实证结果表明,房产税对住宅增量有抑制作用,但短期内对住宅价格影响程度有限。     

Housing prices and transaction volume

We use annual, quarterly and monthly data from the US to show that the correlation between housing prices and transaction volume (number of existing houses sold) differs across different frequencies. While the correlation is high at the low frequencies it declines to the levels close to zero at high frequencies. Granger causality tests for different frequencies show that the way of causality in housing market changes from region to region. Our findings provide a litmus test for the existing theories that are proposed to explain the positive correlation between transaction volume and housing prices.     

Spillover effects of human service facilities in a racially segmented housing market

Previous studies of human service facility spillovers on residential property values have been inconclusive, and have failed to take into account the effects of racial segmentation of housing markets. Likewise, studies of racial discrimination in urban housing markets and price differentials between white and nonwhite areas of the city have failed to consider the impacts of service facilities on prices. This study develops an hedonic price model of housing services in a racially segmented housing market, which considers a variety of human service facilities and their spillover effects. Model results for Oakland, California in 1976 indicate that facilities significantly affect housing prices both positively and negatively, and that these effects vary by racial submarket. Implications of these findings for the interpretation of past discrimination studies, facility impact studies, and social policy are considered.     

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.     

北京：人口剧增背景下的房价综合治理

北京市人口呈现爆炸式增长,有观点认为应放任房价上涨以此解决人口问题。本文从分析北京市近年来人口变动情况及北京市房价现状入手,分析“高房价抑制人口增长论”,提出解决人口剧增的根本性办法是加快城乡统筹,从宏观层面予以解决。在北京市人口剧增的背景下,北京房价的调控措施应该包括坚持限购政策、开征房产税、加大保障性住房建设、打击市场上垄断投机、骗购骗租等不良行为。