An econometric model of housing price, permanent income, tenure choice, and housing demand

This paper addresses the determination of housing price, permanent income, tenure choice, and housing demand. Full housing demand elasticities incorporate the interactive effects among the four stages of the model. Price and income have major effects in the tenure choice equation. Sociodemographic variables, such as age, have complex effects that may be lost in simpler forms of estimation.     

Hedonic prices, price indices and housing markets

This paper extends hedonic price analysis to the formation of housing price indices measuring variation within a metropolitan area. In forming these indices fifteen submarkets, heterogeneous across time and space, are described within a short-run equilibrium model. Linear functional forms are generally rejected using a method proposed by Box and Cox. Aggregation of hedonic price coefficients into standardized units yields significantly higher housing prices in the central city than in its suburbs, as well as differential effects of structural and neighborhood improvements among submarkets.     

The cost of quality in existing housing: Estimates from an implicit markets model

Rosen's implicit markets approach is used to model and estimate the cost of improving the state of repair of rental housing in existing structures. Particular attention is devoted to potential errors in the measurement of state of repair and to the inconsistent estimates of supply and demand parameters implied by Rosen's original econometric technique. Cost estimates imply that improvements in low-income housing could be provided much less expensively in existing housing than by either public new construction or the Section 8 existing housing program.     

住房价格指数以及区位对住房价格的影响——北京市住房价格实证分析

根据北京市的1308个新建住宅项目数据,建立了Hedonic模型,着重分析了时间、距离、环线以及行政区等变量对住房价格的影响,构建了北京市住房Hedonic价格指数和住房价格的梯度曲线.     

What moves housing markets: A variance decomposition of the rent–price ratio

We apply the dynamic Gordon growth model to the housing market in 23 US metropolitan areas, the four Census regions, and the nation from 1975 to 2007. The model allows the rent–price ratio at each date to be split into the expected present discounted values of rent growth, real interest rates, and a housing premium over real rates. We show that housing premia are variable and forecastable and account for a significant fraction of rent–price ratio volatility at the national and local levels, and that covariances among the three components damp fluctuations in rent–price ratios. Thus, explanations of house-price dynamics that focus only on interest rate movements and ignore these covariances can be misleading. These results are similar to those found for stocks and bonds.     

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.     

Selective housing policy in local housing markets and the supply of housing

Selective programs and subsidies have an impact on both the financial position and the housing conditions of the household to whom they are allocated. They also affect the equilibrium outcome in housing markets. This study analyzes how the housing stock in Norwegian municipalities is affected by selective targeted interventions on the supply and demand-sides of the market. The empirical analysis shows that additions to the stock of public housing increases the total housing stock. For every 100 new public units built, 60 units are added to the total housing stock. Demand-side subsidies are also shown to increase the size of the housing stock. Using a linear spline it is shown that the magnitude of the marginal effect on the total size of the housing stock is strongly decreasing in program size.     

Property taxation and the demand for housing: An econometric analysis

There is disagreement among economists regarding the effect of a local increase in property taxation on the housing market. In defining the price of housing services studies of the demand for housing have treated the property tax exclusively as an excise tax on housing consumption. Two recent theoretical developments suggest this is a misrepresentation of the tax. One theory holds that the excise effects of property taxation may be shifted backward to the factors employed in the production of housing. The other theory concludes that the property tax is not an excise, but rather serves as an efficient price for local public services. To investigate these hypotheses, data from the Annual Housing Survey were employed to estimate a housing demand model which included the net effective property tax rate among the set of independent variables. In addition to revealing the property tax-housing demand relationship, the model provides more reliable estimates of income and price elasticities by eliminating specification errors found in previous studies. Results indicate that the property tax reduces the housing consumption of central city homeowners, but does not distort the suburban housing market.     

Urban housing density and the price of housing services

Theoretical research has shown that urban housing density, defined as housing services per unit of land, is an increasing function of the price of housing services. However, this concept of density hides as well as provides information because housing services per unit of land equals the product of housing services per dwelling unit and dwelling units per unit of land. This paper proves that housing density, defined as dwelling units per unit of land, can vary either directly or inversely with the price of housing services.     

惊呼声中的住宅价格

今年以来,上海商品住宅价格在连续3年稳步上涨的基础上快速上扬,并呈现涨速加快态势.引起了社会各界的广泛关注。从根本上讲,商品住宅价格快速上涨是商品住宅供求矛盾加剧的表现。但是,目前相当大比例的普遍居民抱怨商品房价格上涨太快,房价已超出了自己的经济承受能力。     

A linear programming model of the urban housing and land markets: Static and dynamic aspects

An extension of the Herbert-Stevens model is presented which incorporates the dynamic aspects of the housing market in order to simulate the filtering process. An open city is assumed with an exogenously given welfare level of the households and constant returns to scale in production. The bid-rent function can thus de defined independently of the resource allocation within the city. The maintenance policy of the landlords is endogenously determined allowing conservation, deterioration, as well as upgrading. Although the model has a normative formulation, the resulting allocation stipulates a competitive equilibrium. The model can be employed to show that discontinuous development can represent an efficient resource allocation.     

Permanent and transitory shocks in owner-occupied housing: A common trend model of price dynamics

Significant fluctuations in house prices have received considerable attention in recent years. An understanding of the forces underlying the departure from fundamental values is important in explaining the mechanisms underlying housing market performance and predicting potential house price changes in the future. This study constitutes the first use of a common trend (CT) model to analyze private house prices in the Swedish market. We employ a cointegration system to analyze the macro variables of consumption expenditure per capita, user costs and house prices. We decompose shocks into those resulting from fundamental variables, specified in this research as income and the interest rate, and those resulting from cyclical variables. The results indicate that interest rates play a dominant role in explaining house price swings, and are also significant in determining user costs for households in Sweden. Transitory shocks are found to have little explanatory power for house prices and user costs in the long run. A number of tests have been performed to verify the robustness of the specification and results.     

Managing hedonic housing price indexes: The French experience

Despite their theoretical advantages, hedonic housing price indexes are not so commonly computed by statistical agencies or real estate professionals. Many published indexes still rely on mean or median prices, or favor repeat-sales methods, which require less information about the attributes of the housing units and less econometric expertise on the part of the index compilers, but may be less accurate and robust. In France as in other countries where housing sales have to be recorded in front of a notary, data on transaction prices and characteristics of dwellings are available. Such data have been centralized since 1994, and quarterly hedonic housing price indexes have been computed for more than 10 years. This paper describes the institutional setting of housing transactions in France, and the collaboration between the notaries and the national statistical agency (INSEE). The former are responsible for data collection and regular computation, whereas the latter takes scientific responsibility for the method. The detailed information on the individual properties transacted remains proprietary data, but disaggregated indexes are publicly and freely available. This organization and assignment of roles has proven effective and might be extended to countries with similar institutional settings.     

The reduced form price elasticity of housing

This paper focuses on the modeling of the housing market. First, there is a discussion of terminology. The importance of distinguishing between housing and structures, and between reduced form and supply elasticities is emphasized. Second, the role of tastes and technology is emphasized. Third, the integration of the housing market into a general equilibrium urban model to investigate such issues as the effects of a housing subsidy is discussed. Throughout attention is drawn to what additional information is needed to provide an adequate empirical characterization of the housing market.     

Intraurban variation in the price of housing

Theoretical models of spatial consumer behavior assume the existence of a housing price surface that increases with accessibility. It is often hypothesized that inadequate accessibility measures are responsible for the failure of most empirical studies to support this premise. A general accessibility measure consisting of a double power series in cartesian coordinates is developed and shown to represent a general formulation of traditional accessibility measures. This formulation is incorporated in a hedonic price regression model, and the model is estimated using census tract data for the city of Milwaukee. The hedonic prices are then used to construct intraurban housing price indexes. The results of this study provide strong support for the existence of the presumed price surface. A comparison of this new hedonic price model with traditional models suggests that the double power series formulation is a superior representation of accessibility.     

工程量清单计价模式的应用研究

工程量清单计价早已成为国际上普遍采用的工程计价方式,我国于2003年7月1日采用这种计价方式。在此之前,我国一直沿用的是定额计价的方式。文章对这两种计价模式的不同进行简单比较,对清单计价存在的问题及对策进行了详细阐述。     

Booms and busts in housing markets: Determinants and implications

This study looks at the characteristics and determinants of booms and busts in housing prices for a sample of eighteen industrialised countries over the period 1980–2007. From an historical perspective, we find that recent housing booms have been amongst the longest in the past four decades. Estimates of a Multinomial Probit model suggest that domestic credit and interest rates have a significant influence on the probability of booms and busts occurring. Moreover, international liquidity plays a significant role for the occurrence of housing booms and—in conjunction with banking crises—for busts. We also find that the deregulation of financial markets has strongly magnified the impact of the domestic financial sector on the occurrence of booms.     

Forecasting with an econometric model: Some recent results using the national institute model

It is widely believed that the large econometric models cannot be used for forecasting without considerable intervention on the part of the forecaster. In this paper we challenge this view by reproducing a number of recent forecasts published by the National Institute but without the ad hoc interventions used at the time. We show that in no case would the forecast, produced by the model used mechanically, have been radically different from that actually published. Further, in an ex-post comparison against actual out-turns, the mechanical model forecast is not obviously dominated by the published version.