Hedonic prices and composite commodities

In this paper we conjecture and, to an extent, prove that recently noted restrictions required for the logical coherence and empirical relevance of hedonic price models make these models no more general than traditional housing services models. In particular, intra-urban variation in hedonic prices may not be substantively related to market equilibration at all, and therefore is not evidence for the existence of housing sub-markets. Moreover, in the case of jointly produced housing characteristics, the hedonic price models are found to be less general than the traditional homogeneous housing services models.     

A mixed index approach to identifying hedonic price models

Recent literature suggests identifying house price hedonic regressions by using instrumental variables, spatial statistics, the borders approach, panel data, and other techniques. We present an empirical application of a mixed index model, first proposed by Bowden [Bowden, R.J., 1992. Competitive selection and market data: the mixed-index problem. The Review of Economic Studies 59(3):625–633.] to identify hedonic price regressions. We compare the performance of the mixed index model to a traditional hedonic model and to a hedonic model that includes characteristics of the buyer of each house. We find the mixed index model outperforms the other models based on bootstrap distributions of predicted housing values, prediction variance, and predicted policy effects. The mixed index model distributions are less skewed and kurtotic than the other models, suggesting it more closely satisfies the classical linear regression assumption of normally distributed errors. Compared to the mixed index model, the traditional hedonic overstates the importance of lot size and school quality to house price and understates the importance of environmental quality.     

基于主成分分析法的特征价格模型

将主成分分析法与特征价格模型相结合,对房地产项目的销售均价进行定价。解决了分析样本数据少、部分特征属性间相关性强的问题;建立了住宅项目的特征定价模型。通过实证分析,验证出模型的效果较好,可用于确定新建项目的销售均价。     

An alternative test of the hedonic theory of housing markets

In this paper the hedonic theory of housing markets is used to generate a multinomial logit model of household behavior in an urban housing market. Application of hedonic theory to housing markets is by now fairly familiar and a link to multinomial logit has also been established. However, by emphasizing more heavily the bid price interpretation of hedonic theory, this paper develops a new connection to econometric estimation that essentially involves running the usual logit equations in reverse. One advantage of this approach is that the link between the logit equations and hedonic theory involves bid price rather than utility functions, and this in turn permits the empirical results to be given an extremely clear interpretation. Furthermore, in contrast to the standard logit model, the extreme value distribution required to justify the estimation technique emerges endogenously as part of the analysis.     

Capitalization,population movement,and the local public sector: a probabilistic analysis

Using data collected from household interviews in a 1965 San Francisco Bay Area Transportation Study, a probabilistic model is developed to explain the relationship between population movement and the capitalization of changes in the public sector in the price of housing. This model is constructed to compare 2 competing explanations for the flight of higher income households to the suburbs: 1) the accessibility model and 2) the flight from blight model. The accessibility model explains the decay of cities as a natural outgrowth of decreasing transportation costs, whereas the flight from blight model suggests that the wealthy leave the central city for the suburbs because of urban decay. An analysis of the San Francisco data demonstrates that high income households are more sensitive than the rest of the population to changes in the median income of the neighborhood and in expenditures and general government and education, but less sensitive to changes in property tax rate and expenditures on public safety, parks, and recreation. It is unlikely that undesirable changes in the public sector will result in a mass exodus of higher income households; capitalization in the price of housing appears sufficient to prevent this. The 2 models combined help explain the flight from the central cities, while the combined variables increase the logit estimation's prediction of bids for housing.     

城市住房价格指数编制方法的拓展设计及实证检验

科学监测城市房价走势,在当前环境下尤为重要。为拓展国际通行方法编制国内单一城市房价指数的适用性,引入样本匹配重复交易法构建房价指数,以提高样本容量与可比性。基于上海数据的实证结果表明,相较于传统重复交易法和特征价格法,样本匹配重复交易法能更准确地反映住房价格变动,结果异常波动性更小,噪声影响程度更低,在克服样本代表性误差和变量缺失误差方面效果更显著,对编制国内城市房价指数具有较好应用价值。     

Hedonic versus repeat-sales housing price indexes for measuring the recent boom-bust cycle

Standard housing price indexes rely on strong constant-quality assumptions and often conflict. Hedonic price indexes overcome limitations of median price and repeat-sales indexes but their implementation has been limited by a lack of data. This paper constructs hedonic indexes at the zip code level for the Los Angeles and San Diego metropolitan areas using considerably more detailed data than previously available. Our sample was collected by a mortgage technology firm, and consists of almost 1.1 million transactions during the boom-bust cycle since 2000. Our hedonic regressions include new spatial models that capture correlations within submarkets (using zip codes as proxies) and allow temporal asymmetry. Compared to a repeat-sales price index constructed from the same data, the hedonic indexes indicate that the market peaked about 11 months later in Los Angeles and about 2 months earlier in San Diego, show less pre-peak appreciation and post-peak depreciation in low-tier housing and more pre-peak appreciation in high-tier housing. We also find that the intensity of the cycle varies greatly across zip codes and price-tiers in a pattern consistent with foreclosure activity.     

The house price determination process: Rational expectations with a spatial context

Applying the rational expectations hypothesis, this essay models the current value of a house as the conditional expectation of the discounted stream of housing services accruing to the owner of the house. The value of housing services is determined by neighborhood effects as well as the physical attributes of the property itself. In the existing hedonic literature, future transactions have not been utilized to describe neighborhood effects. The rational expectations asset pricing model in this study accounts for expected future neighborhood effects as well as observed current neighborhood effects. The reduced form of the rational expectations model is a spatial autoregressive (SAR) model with two spatial lags. After employing the generalized method of moments (GMM) in estimating the spatial asset pricing model, I find that both expected future transactions and prior transactions in the neighborhood are significant. The inclusion of expected future transaction prices in the neighborhood takes into account the influence of expected changes in the community and factors these potential changes into the current house price. This is consistent with forward-looking households. The forward-looking model generates superior out-of-sample prediction performance relative to both the conventional hedonic model without considering neighborhood effects or the standard spatial hedonic model including only past transactions.     

Choice of functional form for hedonic price equations

The appropriate functional form for a hedonic price equation cannot in general be specified on theoretical grounds. In this paper, a statistical procedure for the choice of functional form is proposed. A highly general functional form is specified that yields all other functional forms of interest as special cases. Likelihood ratio tests are used to test the appropriateness of alternative forms. The procedure is illustrated using cross section microdata for housing. For the case considered, the functional forms most commonly used in previous studies are strongly rejected.     

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.     

A prediction comparison of housing sales prices by parametric versus semi-parametric regressions

This study estimates a hedonic price function using a semi-parametric regression and compares the price prediction performance with conventional parametric models. This study utilizes a large data set representing 2595 single-family residential home sales between July 2000 and June 2002 from Pitt County, North Carolina. Data from Geographic Information Systems (GIS) are incorporated to account for locational attributes of the houses. The results show that the semi-parametric regression outperforms the parametric counterparts in both in-sample and out-of-sample price predictions, indicating that the semi-parametric model can be useful for measurement and prediction of housing sales prices.     

Love thy neighbor: Income distribution and housing preferences

Do homeowners prefer living in an area with a more equal distribution of income? We answer this question by estimating a semi-parametric hedonic pricing model for about 90,000 housing units transacted in Hong Kong between 2005 and 2006. We first identify a hedonic price function by locally regressing the rental price of the housing unit on its intrinsic and neighborhood characteristics, one of which is the Gini coefficient for household income of the constituency area. We then combine the estimates with a log utility function to obtain the heterogeneous preference parameters. Finally, we estimate the joint distribution of the preference parameters and demographics. We find that most homeowners have a strong distaste for inequality in their neighborhood, and the distaste increases with income and goes down with education level. Counterfactual experiments show that reallocating public rental housing by half can increase the welfare of homeowners by about HK$8,000 on average per year, an amount which is equivalent to increasing the housing unit by 20 square feet or reducing the age of the unit by 5 years.     

Depreciation, Maintenance, and Housing Prices

This paper investigates the effect of homeowner maintenance and improvements on the depreciation rate for housing and on house price indexes. We examine three specifications of a hedonic house price model: one that includes a variable for age, as a proxy for depreciation, and an age–maintenance interaction variable; one that considers depreciation but ignores maintenance; and one that ignores both depreciation and maintenance. The remarks of the listing agent as to the property's condition is our proxy for the level of maintenance characterizing the home. In our sample, we find that poorly maintained homes depreciate at a much faster rate than do homes with average maintenance, and that well-maintained homes depreciate somewhat more slowly. Omitting maintenance from the variable specification has little impact on hedonic house price indexes constructed with our data, but failing to consider dwelling age imparts a significant and growing downward bias to the indexes. Monte Carlo simulations investigating various data specifications support our empirical findings.     

Empirical analysis of the impact of a landlord-tenant ordinance on property values2

The purpose of this article is to analyze the impact of a landlord-tenant ordinance (LTO) on property values, using time series data for the City of Evanston, Illinois, where the ordinance has been enacted since 1975. The empirical data analysis, which includes a trend analysis of hedonic price indices for both rental and owner-occupied property, has shown that an LTO is not likely to significantly affect housing values. Those remedies provided in the LTO are not likely to be radical departures from the current practices such as housing/building code, and can therefore not be expected to affect housing values substantially.     

基于Hedonic模型的兰州市二手房住宅特征价格研究

Hedonic特征价格模型是研究住宅属性与价格关系的有效手段。文章将hedonic特征价格模型用于兰州市二手房市场研究,分析1150个兰州市二手房的详细资料,进行hedonic多重回归分析,并用SPSS软件模拟特征价格模型。结果显示,半对数模型拟合系数最高,通过半对数特征价格模型讨论了兰州市二手房价格和住房特征要素之间的定量关系。     

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.     

TESTS OF THE STANDARD URBAN MODEL: A Micro (Trade-Off) Alternative

Three methods of testing the validity of the monocentric model (the negative house price gradient, the wasteful commuting approach, and the hypothesis of a trade-off between housing expenditures and commuting costs) are evaluated. The negative house price gradient is not supported by several recent hedonic models. "Wasteful" commuting is a poor test because it persists even a policentric world and may be more the result of the weakness of journey-to-work minimization as a key determinant of residence and/or workplace location. This study uses the commuting information presented in the 1985 American Housing Survey in eight large metropolitan areas to show that the trade-off hypothesis fails badly. Heterogeneous Preference for housing, commuting and indeed for all goods and services, combined with a wide variety of workplaces and choice of residential locations at highly, variable rents and house prices may be the major reason why the trade-off is not generally observed.     

Permanent income,hedonic prices,and demand for housing: New evidence

Housing demand is examined by looking quite specifically at the income and price variables based on individual household data. Permanent and transitory incomes are computed through instrumental variables related to human and nonhuman wealth. A price is constructed by spatially varying hedonic techniques. Separation of measured income into permanent and transitory components substantially improves the predictive power of the housing demand estimation and leads to demand elasticities of +1 and ?1 with respect to permanent income and price. The permanent income elasticity is roughly twice the measured income elasticity.     

基于所有权成本模型的住房租售比理论及应用

根据我国许多城市住房租售比超过国际警戒线的事实,对传统租售比模型进行了评述,指出了其应用前提和不足之处。然后从住房所有权成本（业主成本）的角度研究房价与租金的关系,并构建了相应的数学模型。应用此模型,对我国住房租售比超过1：300的原因进行了综合分析,同时指出了未来的发展趋势和降低住房租售比可以采取的措施。     

Hedonic analysis of a housing market in disequilibrium

This paper tests the hypothesis that information about housing market activity and about specific dwellings becomes capitalized into single family dwelling prices through a disequilibrium adjustment process. A dynamic price adjustment model, which is an extension of the standard hedonic model widely used in the literature, is derived, specified, and tested with both micro and aggregated data from the city of Chicago and for the period 1972–1976. The results show that from 32 to 75% of the variance in dwelling prices, unexplained by the standard hedonic attributes under assumptions of equilibrium, is explained by market activity signals such as mortgage interest rates and neighborhood transaction rates of the preceding period. Dwellings about which there is less information, making comparison pricing difficult, are shown to command a price premium. The standard equilibrium hypothesis appears readily rejectable and better predictions are obtained from the disequilibrium specifications. Several directions for extending this line of research are discussed.