Regional Housing Prices in the USA: An Empirical Investigation of Nonlinearity

Existing literature on housing prices is predominantly in a linear framework, and an important question that has not been addressed is whether housing prices exhibit nonlinearity. We examine Smooth Transition Autoregressive (STAR) model based nonlinear properties of housing prices over the 1969–2004 period for the entire US and the four regions. Our main findings are (1) housing price for the entire US and all regions except for the Midwest show non-linearity, (2) the dynamic properties implied by the nonlinear estimation explain the typical patterns that have characterized each housing market, and (3) results of Granger causality tests look more plausible in the nonlinear framework where we find stronger evidence of Granger causality from housing price to employment and also from mortgage rates to housing price.

银行信贷首付约束与中国房地产价格研究

本文引入银行信贷的首付约束,建立了带有房地产部门的动态随机一般均衡模型,为分析首付约束与房地产价格关系提供了一个可操作的框架。通过和实际经济比较表明,构建的模型对中国经济和房地产价格波动有较好的解释力。本文得到了首付约束冲击对房地产价格的动态影响过程,研究证实首付约束的正向冲击不仅抬高了房地产价格,而且冲击的持久性更强;同时首付约束的正向冲击还放大了房地产价格对货币政策冲击和产出冲击的脉冲响应。     

中国城镇居民住房的需求与供给

本文研究了自1980年代后期中国城镇住房商品化以来城镇居民住房的需求与供给。我们从耐用消费品需求与供给的标准理论出发,在联立方程框架下估计城镇住房的需求与供给方程,得到了需求的收入与价格弹性及供给的价格弹性的估计值。通过对1987～2006年全国城镇总体水平年度数据的分析,我们发现城镇住房价格的快速上涨主要可由需求与供给的作用解释,即人均收入和建筑成本的变化决定了房价的整体趋势。城镇住房需求的(长期)收入弹性约为1,需求的价格弹性在0.5到0.6之间。住房存量总供给的价格弹性约为0.83。     

The Impact of TOM on Prices in the US Housing Market

The Journal of Real Estate Finance and Economics - Search theory shows that real property prices and marketing durations are simultaneously determined and positively related. Yet, empirical studies...     

Environmental Conditions,Reservation Prices,and Time on the Market for Housing

A general analytical model to describe the impact of environmental disamenities on duration of sales is derived. A statistical technique to recover a sellers reservation price is proposed. An econometric procedure that consistently estimates market duration and a sellers reservation price is described. An application to the impact of highway noise on property values and market duration is presented. The estimation results show that, while highway noise has a significant negative impact on forming reservation prices and predicting sale prices, the noise effect on duration of sales is not statistically significant. Empirical evidence also shows a negative impact of market duration on reservation prices, which indicates an updating process for reservation prices over time.     

Optimal Estimation of the Risk Premium for the Long Run and Asset Allocation: A Case of Compounded Estimation Risk

It is well known that an unbiased forecast of the terminal valueof a portfolio requires compounding at the arithmetic mean returnover the investment horizon. However, the maximum-likelihoodpractice, common with academics, of compounding at the estimatorof mean return results in upward biased and highly inefficientestimates of long-term expected returns. We derive analyticallyboth an unbiased and a small-sample efficient estimator of long-termexpected returns for a given sample size and horizon. Both estimatorsentail penalties that reduce the annual compounding rate asthe investment horizon increases. The unbiased estimator, whichis far lower than the compounded arithmetic average, is stillvery inefficient, often more so than a simple geometric estimatorknown to practitioners. Our small-sample efficient estimatoris even lower. These results compound the sobering evidencein recent work that the equity risk premium is lower than suggestedby post-1926 data. Our methodology and results are robust toextensions such as predictable returns. We also confirm analyticallythat parameter uncertainty, properly incorporated, producesoptimal asset allocations, in stark contrast to conventionalwisdom. Longer investment horizons require lower, not higher,allocations to risky assets.     

The Predictive Power of Anisotropic Spatial Correlation Modeling in Housing Prices

This paper develops a method to capture anisotropic spatial autocorrelation in the context of the simultaneous autoregressive model. Standard isotropic models assume that spatial correlation is a homogeneous function of distance. This assumption, however, is oversimplified if spatial dependence changes with direction. We thus propose a local anisotropic approach based on non-linear scale-space image processing. We illustrate the methodology by using data on single-family house transactions in Lucas County, Ohio. The empirical results suggest that the anisotropic modeling technique can reduce both in-sample and out-of-sample forecast errors. Moreover, it can easily be applied to other spatial econometric functional and kernel forms.     

中国农房地震指数保险指标设计研究

中国地震灾害发生频率高、范围广、强度高、震源浅、空间异质性高,造成了大量的人员伤亡和经济损失。相对于发达国家,中国地震灾害风险管理更多依赖政府救援。因此,中国政府和学界开始积极探索地震保险的重要作用,将其视为综合风险防范中关键的组成部分。作为一种创新型的市场驱动地震灾害风险分散工具,地震指数保险能够为灾后救助和恢复重建快速提供充足的资金。选择合适的保险指数是地震指数保险产品设计中至关重要的环节。因此,本文以农房为研究对象,通过梳理地震灾害系统和成灾致损的关键过程,构建地震指数保险指标体系,并从数据可获取性及时空覆盖度、效率、居民认知度和基差风险等角度对不同的地震指数进行对比分析,选择适用于中国农房地震指数保险的最优指数。     

Nonparametric Estimation of State-Price Densities Implicit in Financial Asset Prices

Implicit in the prices of traded financial assets are Arrow–Debreu prices or, with continuous states, the state-price density (SPD). We construct a nonparametric estimator for the SPD implicit in option prices and we derive its asymptotic sampling theory. This estimator provides an arbitrage-free method of pricing new, complex, or illiquid securities while capturing those features of the data that are most relevant from an asset-pricing perspective, for example, negative skewness and excess kurtosis for asset returns, and volatility "smiles" for option prices. We perform Monte Carlo experiments and extract the SPD from actual S&P 500 option prices.     

房价过快上涨对实体经济的影响:文献综述

自1998年启动住房分配货币化改革以来,我国房地产市场发生了革命性的变化,房地产业已成为国民经济的重要支柱。而历史经验则已反复证明,如果经济发展过分倚重房地产,听任房地产价格持续快速上涨,将对投资及全要素生产率、消费、收入分配、财富分布,以及财政收入产生不利影响,并有可能诱发系统性风险,进而影响国民经济持续稳定健康发展。因此,要从供给侧加大改革力度,加大土地供给数量,调整财税体制,加快推进房地产税立法工作,加快形成促进房地产市场稳定发展的长效机制。     

区域异质性视角下人口老龄化对住房均价的影响研究

在我国老龄化程度较深且进程持续加速的背景下,研究老龄化对住房均价的影响具有重要意义。同时,我国不同区域的人口年龄结构、房地产市场发展特征差异较大,不能简单混为一谈。因此本文结合实际国情,利用全国31省(市、自治区)1999~2018年的面板数据,分区域研究人口老龄化对商品住宅价格波动的影响。模型回归分析结果显示:我国老龄化进程对住房均价构成显著冲击;不同区域老龄化水平对住房均价的影响存在较大差别;其他因素对住房均价的影响具有区域异质性特征。最后,为应对老龄化冲击、助力我国房地产市场平稳运行、维护国家经济社会和谐稳定,提出合理控制老年抚养比、完善养老保障体系、采取差异化调控措施、促进区域协同发展等对策建议。     

An Actuarial Premium Pricing Model for Nonnormal Insurance and Financial Risks in Incomplete Markets

Abstract

A model for pricing insurance and financial risks, based on recent developments in actuarial premium principles with elliptical distributions, is developed for application to incomplete markets and heavy-tailed distributions. The pricing model involves an application of a generalized variance premium principle from insurance pricing to the pricing of a portfolio of nontraded risks relative to a portfolio of traded risks. This pricing model for a portfolio of insurance or financial risks reflects preferences for features of the distributions other than mean and variance, including kurtosis. The model reduces to the Capital Asset Pricing Model for multinormal portfolios and to a form of the CAPM in the case where the traded and nontraded risks have the same elliptical distribution.     

推动房价上涨的货币因素研究——基于美国、日本、中国泡沫积聚时期的实证比较分析

本文从理论上探究了货币量与房价之间的双向联系,分析了不同渠道下两者之间的动态加速器机制。从货币结构的视角选用了准货币作为考察货币与房价关系的主要变量进行论证。在此基础上,采用协整VAR模型的框架在货币、资产价格、宏观经济之间建立多变量关系,同时针对美国、日本、中国三个国家的典型房价泡沫积聚时期的数据进行实证比较分析。结果表明三个国家中货币量与房价之间都存在长期均衡关系,巨额货币存量推动房价上涨的力量比较强大而且明显。在资产泡沫积聚时期,推动房价上涨的实体因素不足,最重要的还是货币因素推动。因此,要控制房价过快增长,需要中央银行调整货币政策框架及通胀目标,关注资产价格变化并有效控制货币量。     

Dwelling Age,Redevelopment, and Housing Prices: The Case of Apartment Complexes in Seoul

The aging of a housing structure not only leads to depreciation but also increases the possibility of redevelopment. If redevelopment accompanies an increase in structural density in order to accommodate the increased demand for housing, it provides large capital gains to the existing owners. In this case, expectations of redevelopment in the near future and the eventual announcement of redevelopment plans can have a strong positive impact on the current price of housing. We test this hypothesis using a hedonic pricing model designed to decompose the age effects into depreciation effect and redevelopment effect. Based on 3,474 observations on apartments in Seoul in 2001, estimation results confirm our hypothesis. While the depreciation effect dominates the redevelopment effect until 15 to 19 years of age, depending on the specification, the redevelopment effect eventually dominates the depreciation effect thereafter, causing the apartment price to increase. At 27 years of age, the apartment price decreases by as much as 4553 percent of the initial value, due to depreciation. However, the redevelopment effect increases the price by as much as 2832 percent, driving the price up to 7687 percent of the original value.     

Residential Construction Costs and the Supply of New Housing: Endogeneity and Bias in Construction Cost Indexes

Change in the level of residential construction affects macroeconomic conditions and is an important determinant of movements in house prices. Theory teaches us that increases in the cost of construction should reduce the supply of new housing. Yet empirical research has failed to find a consistent relationship between these costs and housing starts. This article introduces an entirely new set of micro-data on housing construction costs to study this issue. We develop quality-controlled, hedonic construction cost series from these data. Using this series, we estimate housing supply and construction cost functions for new single-family residences. This research demonstrates that bias in the commercial cost indexes used in existing housing supply studies is a likely cause of their poor performance in existing estimates of the supply of new single-family housing. The bias appears to be caused by an incorrect measure of labor costs and a failure to address the endogeneity of construction costs and construction activity. In contrast, starts regressions using the hedonic cost series generate much more sensible results. We find that housing starts are quite cost elastic; construction costs are endogenous in the new housing supply function, and the cost shares of material and labor in the structure of new residences are approximately 65 and 35%, respectively.     

An Estimation Model for the Term Structure of Yield Spread

An estimation model for term structure of yield spread has become an extremely important subject to evaluate securities with default risk. By Duffie and Singleton model, yield spread was explained by two factors, namely collection rate and default probability. An estimation of the collection rate is given from historical earnings data, but estimation of default probability is known to be a remaining problem.There are some approaches to express default probability. One of them is to describe it through hazard process, and the other is to represent it by risk neutral transition probability matrix of credit-rating class. Some models that use Gaussian type hazard process or Vasicek type hazard process have already constructed.An advantage of evaluation using a rating transition probability matrix is that it is easy to obtain an image of movement of the credit-rating class. We do not need to show the calculation basis of the threshold or an assumption for distribution of prospective yield spread. But the model that uses the risk neutral transition probability matrix has not established yet, because of the computational difficulty required to estimate large number of the parameters.At first, for the purposes of this article, we will estimate the term structure of credit spreads results from the possibility of future defaults. It is assumed that credit risk is specified as a discrete-state Markov chain. And we construct a model which can be used to estimate the baseline transition matrix of the credit-rating class, risk-adjusting factors, industrial drift factors, corporate drift factors and recovery ratio, from yield spreads for individual bond. This enables us to compute the implied term structure from market data. We are capable of computing the implied term structure from market date by this process. Next, we will provide a valuation model for the term structure of yield spread.     

Participation in the National Flood Insurance Program: An Empirical Analysis for Coastal Properties

A perennial question about the National Flood Insurance Program is: how can participation be increased? An empirical analysis of individual‐level data reveals that in a sample of coastal areas the participation rate is 49 percent of eligible properties. Participation responsiveness to price is inelastic, but it has been increased by the mandatory purchase requirements for mortgage borrowers. Easing conditions for participation in the program would probably not reduce flood control measures, such as seawalls, which may degrade beach conditions and coastal ecosystems.