House price risk and the hedging benefits of home ownership

Using a repeat-sales methodology, this paper finds that estimates of house price risk based on aggregate house price indices substantially underestimate the true size of house price risk. This is the result of the fact that aggregate house price indices average away the idiosyncratic volatility in house prices. Additional results show that the idiosyncratic risk exceeds the hedging benefits of home ownership. These results imply that for many home owners, owning a house may well add more price risk than it hedges away. These findings are based on a detailed dataset of individual housing transactions in the Netherlands.     

A micro view on home equity withdrawal and its determinants: Evidence from Dutch households

For most households, home ownership is the largest wealth component that has become more accessible through innovation and deregulation in mortgage markets. This paper studies the factors driving home equity withdrawal (HEW) at the household level using Dutch survey data. In the Netherlands, house prices were growing fast and mortgage expenses are to a large extent tax deductible. Expectations and perceptions do seem to play an important role in HEW. Withdrawers tend to be more positive about house price developments and – although having lower income – less concerned about their future economic situation. HEW can have a significant impact on both households and the economy, with most of the equity released being reinvested in the housing sector and only a small share used to finance consumption expenditure.     

Housing Wealth and UK Consumption

There is widespread disagreement about the role of housing wealth in explaining consumption. However, much of the empirical literature is marred by poor controls for the common drivers both of house prices and consumption, such as income, income growth expectations, interest rates, credit supply conditions, other assets and indicators of income uncertainty (e.g. changes in the unemployment rate). For instance, while the easing of credit supply conditions is usually followed by a house price boom, failure to control for the direct effect of credit liberalisation on consumption can over‐estimate the effect of housing wealth or collateral on consumption. This paper (Janine Aron, John Muellbauer and Anthony Murphyi, October 2006) estimates an empirical model for UK consumption from 1972 to 2005, grounded in theory, and with more complete empirical controls than hitherto used.     

Do house price developments spillover across euro area countries? Evidence from a global VAR

This paper empirically assesses the prospects for house price spillovers in the euro area, where co-movement in house prices across countries may be particularly relevant given a general trend with monetary union toward increasing linkages in trade, financial markets, and general economic conditions. A global VAR is estimated for three housing demand variables (real house prices, real per capita income, and the cost of borrowing, captured by a real long-term interest rate) on the basis of quarterly data for 7 euro area countries (Belgium, Germany, Ireland, Spain, France, Italy and the Netherlands), which together comprise nearly 90% of euro area GDP, over the period 1971–2009. The results suggest limited house price spillovers in the euro area, albeit with evidence of some overshooting in the first year after the shock, followed by a long run aggregate euro area impact of country-specific changes in real house prices related in part to the country’s economic weight. This contrasts with the impacts of a shock to domestic long-term interest rates, causing a permanent shift in house prices after 2–3 years. Underlying this aggregate development are rather heterogeneous house price spillovers at the country level, with a strong importance for weights – either economic or geographic – in governing their general magnitude. More generally, the impact of financing costs on house prices appears to have grown though time.     

Using a Structural‐Form Model to Analyze the Impact of Home Ownership on Unemployment Duration

It is often found that the impact of home ownership on the hazard rate for leaving unemployment is positive, indicating that home ownership helps workers to leave unemployment for a paid job. However, little emphasis has been given to how such a relationship can be explained. This paper estimates a structural‐form model that allows for self‐selection into home ownership and the risk of home owners losing their property during a spell of unemployment. We find a substantial amount of self‐selection using indirect inference based on a mixed proportional hazards‐rate model and find virtually no impact of home ownership on individual labor market performance. Copyright © 2016 John Wiley & Sons, Ltd.     

Housing tenure choice and the dual income household

Housing tenure choice has been the subject of a very large literature. Many treatments have sought to estimate the effect of household income on the likelihood of home ownership. To date, no study has ever disaggregated the household income of married couples into the separate labor income components to see if one partner’s income has a different effect than the other. Using a derived likelihood function to control for censoring in the wife’s income, this paper estimates the effect of separate incomes on housing tenure choice, accounting for possible endogeneity of the wife’s income. To compare the results of this estimation method, the paper also estimates the standard IV models, 2SLS and IV probit. While the results show that there is no endogeneity of the wife’s income, ignoring the censoring of the endogenous variable (when a large fraction of observations are censored) can possibly lead to biased coefficient estimates. Also, this paper confirms the importance of total household income, which has a larger effect than the total disaggregated components.     

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.     

论征收补偿协议的行政法效力

房屋征收系政府行为,征收补偿协议系政府职能部门与被征收入签订的、解决征收补偿问题的法律行为。《国有土地上房屋征收与补偿条例》（以下简称《征收条例》）第25条规定：“房屋征收部门与被征收入依照本条例的规定,就补偿方式、补偿金额和支付期限、用于产权调换房屋的地点和面积、搬迁费、临时安置费或者周转用房、     

Determinants of bank interest margins in Russia: Does bank ownership matter?

This paper analyzes interest margin determinants in the Russian banking sector with a particular emphasis on the bank ownership structure. Using unique bank-level data covering Russia's entire banking sector for the 1999–2007 period, we find that the impact of a number of commonly used determinants such as market structure, credit risk, liquidity risk and size of operations differs across state-controlled, domestic-private and foreign-owned banks. At the same time, the influence of operational costs and risk aversion is homogeneous across ownership groups. The results overall suggest that the form of bank ownership needs to be considered when analyzing interest margin determinants.     

A dymimic model of housing price determination

This paper presents and estimates a model of the resale housing market. The data are a cross-section of monthly time series obtained from the multiple-listing service for a suburb of San Diego. The model is specified and estimated as a dynamic multiple indicator multiple cause system of equations where the capitalization rate is taken to be an unobservable time series to be estimated jointly with the unknown parameters. These are estimated by maximum likelihood using an EM algorithm based upon Kalman filtering and smoothing.The specification of the model features hedonic equations for each house sale and a dynamic equation for the capitalization rate which is constrained to make the expectation of prices equal the present value of the net returns to home ownership whenever the economic variables stabilize at steady state values. Out of steady state, the capitalization rate slowly adapts to new information.The model attributes a large portion of housing price increases of the 1970's to a fall in the capitalization rate which in turn was driven by rental inflation, tax rates and mortgage rates. Post-sample simulations indicate an initial flattening of housing inflation rates and later a fall brought on by the increase in steady state capitalization rates. In-sample simulations show that although both Proposition 13 and the inflation induced rise in the marginal income tax rates provided partial explanations for the fall in capitalization rates, the single most important factor was the acceleration in price of housing services which interacted with the tax treatment of home ownership to produce an amazing 18% average annual rate of price increase over the last seven years of the 1970's.     

House price appreciation, liquidity constraints, and second mortgages

This paper analyzes how households use second mortgages in response to shocks to housing wealth. Two related questions are examined: Do households use home equity in response to house price appreciation? Are liquidity constraints important for homeowners? A theoretical model shows that liquidity-constrained households respond more strongly to house price changes than unconstrained households. Using PSID, I find noteworthy differences in borrowing patterns of homeowners by the ratio of wealth to income. Low wealth-to-income homeowners exhibit a strong reaction to house price appreciation, whereas high wealth-to-income ones do not. The results indicate the importance of liquidity constraints among homeowners.     

House price appreciation,liquidity constraints,and second mortgages

This paper analyzes how households use second mortgages in response to shocks to housing wealth. Two related questions are examined: Do households use home equity in response to house price appreciation? Are liquidity constraints important for homeowners? A theoretical model shows that liquidity-constrained households respond more strongly to house price changes than unconstrained households. Using PSID, I find noteworthy differences in borrowing patterns of homeowners by the ratio of wealth to income. Low wealth-to-income homeowners exhibit a strong reaction to house price appreciation, whereas high wealth-to-income ones do not. The results indicate the importance of liquidity constraints among homeowners.     

On learning and the economics of firm efficiency: a state-contingent approach

The paper investigates the microeconomics of learning for an owner-managed firm. The analysis relies on a general state-contingent approach to uncertainty. In the presence of price and production uncertainty, it examines the case where acquiring information is costly. It evaluates the microeconomic efficiency of decisions, with a focus on three factors: sure income, the value of information, and a risk premium (measuring the implicit cost of private risk bearing). The analysis stresses the role of information and learning in microeconomic decisions. Implications for efficiency and productivity measurements are discussed.     

A panel data analysis for housing affordability in Taiwan

Although the equilibrium relationship between household income and house price is well documented in previous theoretical studies, the empirical results are usually unfavorable. This article examines whether a long-term relationship between house price and income exists through a panel integration and cointegration methodology in analyzing data from four cities in Taiwan from 1980 to 2007. The findings support the existence of a long-term equilibrium relationship between income and house price, which indicate that housing affordability in Taiwan is stable. After controlling other variables, the income elasticity of house prices on average is close to one. Furthermore, evidence points to a bi-directional causality between income and house price.     

Household behavior under income uncertainty in a monocentric urban area

For a household living outside of but commuting to and from the CBD of an urban area and experiencing income uncertainty, housing consumption and location (distance from the CBD) are inversely related to the probability of unemployment and directly related to the level of unemployment compensation under fairly unrestrictive assumptions. Under more restrictive assumptions, it is found that these variables are inversely related to housing price and transportation costs. Finally, income compensation causes housing consumption and location to be directly related to the probability of unemployment and the level of unemployment compensation.     

The slowdown in the timing of housing purchases in Japan in the 1990s

Housing prices are high in Japan, resulting in high mortgage payments. Since monthly mortgage payments cannot exceed 25% of current income, households tend to accumulate downpayments in the range of 30–45% of house value. This not only defers their entry into homeownership, but also has significant influence on the type of house eventually purchased. The objective of this study is to understand the changing access to ownership during the 1990s, with emphasis on wealth positions based on savings out of income, private transfers and bequests, and support from parents or other relatives. The source of data is the Ministry of Infrastructure, Land and Transportation survey on household home finance conducted from 1992 to 2000. The methodology employed is duration analysis, with special emphasis on the treatment of liquid asset covariates.     

基于面板数据模型的商品住宅价格上涨作用机理及实证研究——以西部地区7个中心城市为例

商品住宅价格上涨过快的现象,引起了广泛关注。探寻商品住宅价格上涨的作用机理显得非常重要。利用面板数据模型,对西部7个中心城市2002-2008年的商品住宅平均价格的实证研究表明:西部中心城市商品住宅价格形成过程中,起到显著作用的有城镇居民可支配收入水平、商品住宅竣工面积和国内生产总值三个主要动力因素。     

Dynamic modeling of regional house price diffusion in Taiwan

This paper examines the lead-lag relationships and the dynamic linkages among four regional house price indices in Taiwan. We employ the Johansen cointegration technique, Toda and Yamamoto’s Granger causality test, the generalized impulse response approach, and variance decomposition analysis to find out the extent and the magnitude of their relationships. The estimated long-run relationship between regional house prices appears to have remained stable throughout the sample period. Our empirical results show a bidirectional relationship between house prices in the most important economic center, Taipei City, and its suburban area, Taipei County. However, there are no causalities of house prices between Taipei City and other megacities in Taiwan. The mutual impacts of the shocks between house prices in Taipei City and Taipei County are significantly positive, while these impacts on Kaohsiung City, far from Taipei City, are insignificant. Finally, the results of the generalized impulse response approach indicate that the house prices indices of Taipei City are the most exogenous while those for Taipei County are the most endogenous.     

基于神经网络的商品住宅价格模型研究

在分析城市商品住宅价格影响因素的基础上,用人均国民生产总值、商品住宅销售面积、人均可支配收入、人均储蓄存款余额、人均居住面积等可定量的统计数据作为输入变量,单位面积商品住宅价格为输出变量,建立BP网络,拟合商品住宅价格模型。用西安市的统计数据作为分析实例表明,模型拟合性较好。     

多空间尺度普通住宅用地的合理地价研究

本文通过房价收入比、地价房价比的关系对住宅市场地价水平的合理值进行估计,用区间分析法来研究普通住宅用地的合理地价区间。考虑到区域差距、行业收入差距大,对国家级、省市级、地区级甚至细化到城市的环线和小区级别,对不同空间尺度下的中等收入家庭年收入等参数进行分析,来估计不同空间尺度下的普通住宅用地的合理地价水平。这有助于建立风险预警系统,引导房地产业向健康稳健方向发展。