HOUSING OVER TIME AND OVER THE LIFE CYCLE: A STRUCTURAL ESTIMATION

We construct a model of optimal life‐cycle housing and nonhousing consumption and estimate the elasticity between the two goods to be 0.487. The estimate is robust to different assumptions of housing adjustment cost, but sensitive to the choice of sample period and the degree of aggregation of data moments. We then conduct experiments in which house prices and household income fluctuate. Compared with the benchmark, the impact of the shocks on homeownership rates is reduced, but the impact on nonhousing consumption is magnified when housing service and nonhousing consumption are highly substitutable or when the house selling cost is sizable.     

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。     

Do changes in the fundamentals have symmetric or asymmetric effects on house prices? Evidence from 52 states of the United States of America

Time-series studies that have tried to establish the long-run relationship between house prices and economic fundamentals have been criticized due to low power of their cointegration tests. On the other hand, those who have used panel data and panel tests to increase the power have found mixed results. Both groups have assumed that changes in the fundamentals have symmetric effects on house prices. In this article, we use nonlinear ARDL approach to cointegration and error-correction modelling and quarterly data from each of the states in the US to show that changes in the fundamentals have asymmetric effects on house prices, in the short run as well as in the long run. Cointegration between house prices and fundamentals is established in 30 states and in District of Columbia.     

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。     

Fertility and female wages: A new link via house prices

The analysis in this paper explains a new link between fertility and female wages that occurs through the effect of house prices. It is well known that higher female wages have an ambiguous effect on fertility: the positive income effect is offset by a negative substitution effect due to the higher opportunity cost of the maternal time required for child-rearing. Here it is shown that housing costs add a new dimension to this relationship. If the housing needs of children are a sufficiently important cost of child-rearing, then other costs of child rearing such as the opportunity cost of maternal time are rendered relatively less important. Hence the negative substitution effect of higher female wages on fertility is weaker, implying that higher female wages are more likely to boost fertility. This effect is stronger when the housing supply elasticity is high since house prices, and hence the costs of children, are kept in check. The analysis here helps to reconcile empirical observations about fertility, female wages and house prices in a number of countries. For governments concerned about low fertility, policies to increase housing supply elasticity in order to keep house prices in check would be helpful.     

The 2007 financial crisis and the UK residential housing market: Did the relationship between interest rates and house prices change?

This paper investigates the impact of the 2007 financial crisis on the relationship between real mortgage interest rates and real house prices. It applies a dynamic conditional correlation based methodology that uses fractionally differenced data along with controls for structural breaks and non-interest-rate related factors that influence house prices. The key finding made is that the financial crisis had a long-term structural impact on the monetary transmission relationship. For example, we find that the mean conditional correlation between house prices in England and Wales and the three-year fixed mortgage rate rose by 6.6 percentage points. Similarly, the mean correlation between prices and the standard variable mortgage rate increased 6.4 percentage points to 54%. These findings suggest to us that interest-rate-based monetary policy still has an important role to play in the housing market.     

北京市二手住宅价格影响机制--基于多尺度地理加权回归模型(MGWR)的研究

文章基于多尺度地理加权回归研究北京市2011-2017年二手住宅交易的价格特征,结果表明:①以往基于经典地理加权回归模型的研究可能存在一定的不稳健,而多尺度地理加权回归可以将不同变量对于因变量的影响尺度反映出来,其回归的结果更为可靠。②北京房价对区位因素非常敏感,且存在高度的空间异质性,区位的影响尺度是所有变量中最小的,接近于街道尺度。而卧室数量和到最近地铁站的距离为全局尺度的变量,在空间上的影响较为平稳。到公交站的距离、到小学的距离、建筑结构和装修状况对于房价的影响不显著。其他显著的变量均存在一定的空间异质性,其空间尺度由小到大分别为成交时间、面积、楼龄、楼层、朝向。③区位、朝向、卧室数量、成交时间均正向影响房价,而面积、楼龄、楼层、到地铁站的距离负向影响房价。所有影响因素中区位是影响房价的最主要因素,其次是成交时间朝向。面积成交时间、朝向和到最近地铁站的距离影响较大,所在楼层、卧室数量对于房价的影响较小,而面积和楼龄的影响最弱。     

Are mortgage lenders guilty of the housing bubble? A UK perspective

Existing theoretical models of house prices and credit rely on continuous rationality of consumers, an assumption that has been frequently questioned in recent years. Meanwhile, empirical investigations of the relationship between prices and credit are often based on national-level data, which is then tested for structural breaks and asymmetric responses, usually with subsamples. Earlier author argues that local markets are structurally different from one another and so the coefficients of any estimated housing market model should vary from region to region. We investigate differences in the price–credit relationship for 12 regions of the UK. Markov-switching is introduced to capture asymmetric market behaviours and turning points. Results show that credit abundance had a large impact on house prices in Greater London and nearby regions alongside a strong positive feedback effect from past house price movements. This impact is even larger in Greater London and the South East of England when house prices are falling, which are the only instances where the credit effect is more prominent than the positive feedback effect. A strong positive feedback effect from past lending activity is also present in the loan dynamics. Furthermore, bubble probabilities extracted using a discrete Kalman filter neatly capture market turning points.     

Capital Inflows and House Prices: Aggregate and Regional Evidence from China

Rising house prices in China have been of concern for investors and policymakers. Prices have risen substantially in the last decade, especially in large urban cities, and some economists have expressed concerns about the affordability of residential housing for young adults. This phenomenon becomes a major concern for policymakers, in terms of managing policies to balance the residential needs of individuals and the transition to a market economy. Theoretically, house prices ought to be linked to economic factors such as disposable income, availability of land to build and credit policy. However, it appears that traditional economic theories fail to appropriately explain house prices in China. We provide an explanation from the perspective of capital inflows into China. In terms of per capita remittances, China receives the highest inflow of foreign capital, and this may have a significant impact on risk adjusted returns in the Chinese market. To investigate this relationship, we use the vector error correction model to assess the impact of capital inflows on house prices. We find that capital inflows have a significant positive effect on house prices. The study makes important contributions to understanding the relationship between house prices and foreign remittances after controlling for other economic factors. China is a large economy. Because the impact of economic development in China has not been consistent across the country, we address the regional differences in the house price changes to capital inflows. Using regional data, we show that capital inflows have an asymmetric effect on the housing market across different provinces and cities of China. This has important implications for the development of economic policies in China that aim to provide fair access to residential housing for everyone. These findings are also relevant to investors in the housing market, whether investing for a personal residential home or as part of their diversified investment portfolio. It will also be informative to see how a reversal of capital inflows associated with tighter financing conditions in advanced countries will affect house prices in China.     

Detecting long‐run relationships in regional house prices in the UK

Recent developments in the analysis of cointegration in the presence of asymmetric adjustment are extended and applied to data on regional house prices in the UK. This extension is found to have a dramatic impact upon the results derived. In contrast to recent studies employing standard methods, allowance for the possibility of asymmetric behaviour results in the detection of a large number of long‐run relationships between house prices in different regions. A consistent pattern of asymmetric adjustment is observed, with reversion to equilibrium occurring more rapidly (slowly) when house prices in the South of England decrease (increase) relative to other regions. While the results derived support the existence of a ripple effect underlying the observed movements in regional house prices, the extent of cointegration uncovered casts doubt upon the recently proposed notion of weak segmentation in the UK housing market.     

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.     

货币政策对房价的影响：一个文献综述

通过文献资料法和比较分析法，评述有关货币政策对房价影响的研究方法与研究结论。研究成果：（1）房价与利率问题正日益受到各界关注；（2）房价与利率的关系，学者之间研究的结论不相同，有的学者认为利率对房价产生影响，有的学者认为利率对房价没有影响。研究启示：货币政策与房价的关系还需进一步研究，调控政策还需要不断地完善。     

A bank lending channel or a credit supply shock?

Shifts in credit supply could have a bearing on house prices e.g. through financial innovations and changes in regulation independently of the existence of a bank lending channel of monetary policy. This paper assesses the responses of US house prices to an exogenous credit supply shock and compares them with the effects from variations in credit supply associated with a bank lending channel. The contribution of the study is twofold. First, innovations in credit supply are identified using a mortgage mix variable, thereby accounting for the market-based financial intermediaries. As a robustness check a survey variable of bank lending standards for mortgage loans is also used. Second, the policy-induced credit supply effect on house prices is disentangled and compared with the effect from an exogenous credit supply shock. It is shown that in the first 3 years credit supply shocks affect house prices exogenously rather than through the bank lending channel. Monetary policy has still a large impact on house prices, even when the bank lending channel is ‘turned off’.     

The Role of Chonsei as a Price Protector in the Korean Housing Market

In this study, we investigate whether ‘Chonsei,’ the distinctive type of housing contract system in Korea, has a favorable impact on house prices during a market downturn. We show the mechanism in which Chonsei prevents a sharp drop in house prices based on sellers’ loss aversion behavior. Moreover, using data on the Seoul condominium (i.e. apartment) market during the 2006–2017 period, we find that Chonsei prices have a negative impact on the housing trade volume in a market recession. This finding is consistent with our argument that loss aversion behavior appears with regard to the rise in Chonsei prices and thereby Chonsei functions as a price protector in the Korean housing market.     

Modelling Regional House Prices in the UK

Maximum likelihood cointegration methods are used to analyse the determinants of house prices in each of the eleven regions of the UK. Broad similarities in the structure of house price equations are found across regions in England and Wales (but not Scotland or Northern Ireland), indicating that the source of differences in English and Welsh regional house prices should probably be sought in different regional incomes, opportunity costs, and housing starts. Tests of spatial dependence in regional house prices cast doubt on the well-known 'ripple effect' hypothesis.     

Global capital markets,housing prices,and partisan fiscal policies

In recent years, global imbalances have channeled the excess savings of surplus countries toward the real estate markets of deficit countries. By consequence, the deficit countries that attracted lots of foreign capital experienced large run‐ups in house prices, whereas most surplus countries that exported capital exhibited flat or slow house price growth. We first use new house price data and a novel instrumental variable design to show the causal relationship between housing prices and capital inflows, particularly through debt bonanzas. We then argue that international capital flows affect the fiscal policy preferences of both voters and political parties by way of their impact on housing prices. Where capital inflows are large and housing prices are rising, we expect voters to respond by demanding both lower taxes and less publicly‐provided social insurance because rising house prices allow homeowners to self‐insure against income loss. In contrast, declining house prices produce greater demands for social insurance, particularly among those most exposed to housing market risk. We present evidence from two cross‐national surveys that supports these claims, as well as a “before and after” analysis of the housing crash in Eastern Europe. We also show that the connection between house prices and social policy also manifests itself in government spending outcomes, mediated by partisan control.     

HOUSE PRICES IN THE MEASUREMENT OF INFLATION IN THE EURO AREA

An important element of the current monetary policy debate in Europe is the question of if and how house prices should be included in the harmonized index of consumer prices (HICP). This paper uses a signal extraction approach to inflation measurement to illustrate the impact of including house prices when the aggregate inflation measure is constructed by assigning weights to individual price series based on their signal-to-noise ratio. The inclusion of house prices in the HICP in this manner does not materially impact the appropriate stance of monetary policy. ( JEL E31, E52, E58)     

THE IMPACT OF INFLATION ON NEW HOUSE PRICES

It is often stated that real house prices respond to inflation in ways similar to assets infixed supply, such as gold or antiques. This paper proposes that, instead, house prices are determined primarily by the cost of producing new houses. Thus, inflation affects price mainly through input markets and through expansion in housing starts. This proposition is supported in an examination of annual changes in house prices between 1965 and 1982 in 12 sub regions of the United States     

Housing prices and crime perception

In this article, we combine data from the housing market with data from a victimization survey to estimate the effect of crime perception on housing prices in the City of Barcelona from 2004 to 2006. Using dwelling data and a hedonic price model (using both OLS and quantile regressions), in the first stage, we estimate the shadow price of the location of dwellings. In the second stage, we analyse the impact of crime perception, after controlling for other district characteristics such as local public spending and immigration, on this locational valuation. After accounting for the possible endogeneity of crime and housing prices, our findings suggest that crime exerts relevant costs beyond its direct costs. Indeed, a one standard deviation increase in perceived security is associated with a 0.57 % increase in the valuation of districts. Moreover, in districts perceived as being less safe than the average for the City of Barcelona, houses are highly discounted. Less safe districts have on average a valuation that is 1.27 % lower.     

金融冲击与房地产市场波动*——一个宏观分析框架及中国的经验证据

本文从总量宏观分析的视角,提出了金融变量与房地产市场的“总体冲击—传导机制”假说,据此用中国的数据构建金融状况指数（包含房价的FCI1和不包含房价的FCI2）,再对金融状况指数（FCI1和FCI2）与房地产指数做实证分析。研究发现,在资产价格中房价比股价更能反映一国的金融状况;在引入金融状况指数的金融变量中,利率与房价的相关性最强;房价和利率对总产出的影响周期更长。国房景气指数、房地产投资指数和房价指数对FCI冲击的响应显著,并存在不同的表现。由于房价对居民财富、金融状况和宏观经济的影响显著,货币政策理应干预房价,必须精准把握干预的时机和干预的力度以及注重多种货币政策工具的有效搭配使用。