SPATIAL HEDONIC MODELS OF AIRPORT NOISE,PROXIMITY, AND HOUSING PRICES*

ABSTRACT Despite the refrain that housing prices are determined by “location, location, and location,” few studies of airport noise and housing prices have incorporated spatial econometric techniques. We compare various spatial econometric models and estimation methods in a hedonic price framework to examine the impact of noise on 2003 housing prices near the Atlanta airport. Spatial effects are best captured by a model including both spatial autocorrelation and autoregressive parameters estimated by a generalized moments approach. In our preferred model, houses located in an area in which noise disrupts normal activities (defined by a day–night sound level of 70–75 decibels) sell for 20.8 percent less than houses located where noise does not disrupt normal activities (defined by a day–night sound level below 65 decibels). The inclusion of spatial effects magnifies the negative price impacts of airport noise. Finally, after controlling for noise, houses farther from the airport sell for less; the price elasticity with respect to distance is −0.15, implying that airport proximity is an amenity.     

RESIDENTIAL SORTING AND ENVIRONMENTAL EXTERNALITIES: THE CASE OF NONLINEARITIES AND STIGMA IN AVIATION NOISE VALUES

This paper explores the sorting process in response to differing levels of aviation noise exposure in a housing market. Spatiotemporal hedonic pricing (HP) and stated choice (SC) results reflect nonlinearities and stigma. The HP models reveal nonlinear noise depreciation increasing from 0.40 to 2.38 percent per decibel as noise increases, while the SC noise values are lower in an area with high long‐term noise exposure. These nonlinearities are attributed to the spatial sorting of noise tolerant individuals. HP results from the same “noisy” area show a “stigma” from noise during the first year after the complete removal of aviation noise.     

SPATIAL COMPETITION,PRICING, AND MARKET POWER IN TRANSPORTATION: A DOMINANT FIRM MODEL*

ABSTRACT Transport firms compete over space. We develop a dominant firm model of transport services wherein one firm (the railroad) has market power, but competes in space with a competitive alternative (truck‐barge). When constrained, the dominant firm prices to “beat the competition”, which impedes efficiency when demand has some elasticity. We extend the basic model in a number of directions that include the relationship between monopoly prices and the generalized concavity of the shipper demand functions, the effects of multiple terminal markets, the role of joint production (fronthaul–backhaul markets), and the effects of capacity constraints.     

A HEDONIC MODEL OF INTERREGIONAL WAGES,RENTS, AND AMENITY VALUES*

ABSTRACT This paper develops a general multimarket hedonic model appropriate for a national, interregional study of wages, housing prices, and location-specific amenities. The model encompasses the effects of interregional location, intraurban location, and city size. Typically, hedonic studies focus on a single market such as labor or housing and ignore interactions implicit in a more global compensation mechanism. Examination of the comparative statics of our model indicates that single-market differentials are partial prices and are unreliable measures of amenity values in an interregional context. Unbiased amenity values are estimated for a comprehensive set of amenities using data on housing prices for 34,414 households and wages for 46,004 workers from the 1980 Census of Population and Housing. Statistically significant differences in housing prices and wages are found due to amenities.     

Externalities of Nuclear Power Plants: Further Evidence

Several prior studies found no detrimental external effects of nuclear power plants when estimating the distance gradient for housing prices within a hedonic model. Other papers found significant negative effects of nuclear power when studying real asset prices in cross sections of broad market areas.We suggest a resolution and verify that an installation effect occurs after controlling for the tendency of facility builders to seek out cheap land. The study assembles a panel of all commercial market areas, including indicators for nuclear facilities, in the contiguous United States observed 11 times over roughly equal intervals covering the span from 1945 to 1992.     

WHEELS OF FORTUNE: SUBWAY EXPANSION AND PROPERTY VALUES IN BEIJING

China is experiencing rapid urbanization. Its capital city, Beijing, experienced a 53 percent increase in population from 2001 to 2013. To address traffic congestion and air pollution, two of the most pressing urban challenges, Beijing has been investing heavily in transportation infrastructure. In particular, the subway system added 15 new subway lines with a total length of 410 km of over the 12‐year period. We quantify the capitalization of large‐scale subway construction into property values in a first‐differenced hedonic price framework while controlling for confounding factors and reverse causality. Our analysis finds a positive and significant impact of subway proximity on property values: a reduction in the distance to a subway station by 1 km increases the value of properties within 3 km of the station by 15 percent, and by 3.4 percent for properties within 3–5 km. Our analysis shows that the increase in property values can more than cover the capital cost of subway construction.     

TRAFFIC EXTERNALITIES AND SINGLE-FAMILY HOUSE PRICES*

ABSTRACT. This study is the first to lend empirical support to the common belief that traffic intensity affects property values. Using a standard hedonic pricing model, this paper investigates the price effects on housing of traffic within a neighborhood. Results using data on single-family housing transactions for two different locations in a medium-sized city show a substantial negative price effect of traffic externalities. The magnitude of the effect is shown to be location specific.     

租购同权”政策对学区房溢价的影响研究——基于空间特征价格模型的广州实证

在公共服务对住房市场的影响研究领域，学校质量的资本化效应一直是重要话题。本文借鉴边界固定效应思路，使用广州市2016和2019年136所重点小学周边学区房与相邻非学区房的配对面板数据，利用空间特征价格模型定量测度了不同质量等级教育资源的资本化效应，使用双重差分模型检验了“租购同权”政策对重点小学学区房房价和租金溢价的影响。研究结果表明：①广州市教育质量已部分资本化于住房价格和租金之中，且教育资源越优质，资本化程度越高。②“租购同权”政策的实施，并未带来学区房房价和租金溢价的显著变化。③“租购同权”政策对不同质量等级的重点小学学区房房价影响存在异质性，政策实施后省级重点小学的学区房溢价上升，区级重点小学的学区房溢价下降。④“租购同权”政策对于不同区域重点小学学区房房价和租金溢价的影响无显著差异。本文的研究结论可以为制定教育资源供给与配置的均衡化和公平性政策提供参考。     

Hedonic pricing analysis of the influence of urban green spaces onto residential prices: the case of Leipzig,Germany

In the light of global urbanization and biodiversity loss, ecosystem services provided by urban green spaces (UGS) are becoming increasingly important, not least as a recovery and recreation opportunity for citizens. The valuation of UGS is significant for urban planners, who make decisions on the creation or removal of UGS. We analysed the influence of UGS on residential property prices in Leipzig, Germany, by applying a hedonic pricing analysis. This analysis complements the existing literature by considering both sale and rental prices for flats and houses; moreover, the shape of UGS is taken into account explicitly; finally, it is the first study in Germany to analyse UGS in hedonic studies to such an extent. The results demonstrate that the size of the nearest UGS has a stronger impact on prices compared to the distance from it. With respect to shape, we found that the simpler the UGS shape, the higher the prices. Although we find an impact of UGS on prices, the impact is smaller than that of other characteristics. The proposed valuation approach and obtained results inform urban planners regarding the design of new UGS and raise awareness about potential intended and unintended economic and social effects.     

IMMIGRATION AND HOUSING BOOMS: EVIDENCE FROM SPAIN*

ABSTRACT We provide causal estimates of the effect of immigration on house prices and construction activity in Spain over the period 2000–2010. During this period Spain experienced spectacular swings in both immigration and the housing market. Our instrumental‐variables estimates suggest that between 2000 and 2010, immigration led to an average 1.5 percent annual increase in the working‐age population. This was responsible for an annual increase in housing prices of about 2 percent, and for a 1.2–1.5 percent increase in housing units. Overall, immigration was responsible for one quarter of the increase in prices and about half of the construction activity over the decade.     

A SPATIAL AND TEMPORAL AUTOREGRESSIVE LOCAL ESTIMATION FOR THE PARIS HOUSING MARKET

ABSTRACT This original study examines the potential of a spatiotemporal autoregressive Local (LSTAR) approach in modeling transaction prices for the housing market in inner Paris. We use a data set from the Paris Region notary office (Chambre des notaires d’Île‐de‐France) which consists of approximately 250,000 transactions units between the first quarter of 1990 and the end of 2005. We use the exact X–Y coordinates and transaction date to spatially and temporally sort each transaction. We first choose to use the STAR approach proposed by Pace et al., 1998 . This method incorporates a spatiotemporal filtering process into the conventional hedonic function and attempts to correct for spatial and temporal correlative effects. We find significant estimates of spatial dependence effects. Moreover, using an original methodology, we find evidence of a strong presence of both spatial and temporal heterogeneity in the model. It suggests that spatial and temporal drifts in households socio‐economic profiles and local housing market structure effects are certainly major determinants of the price level for the Paris Housing Market.     

ECONOMETRIC ANALYSIS OF HOUSING TRAIT PRICES IN A THIRD WORLD CITY*

ABSTRACT. A first step in the process of economic analysis of housing markets in Third World cities is the econometric analysis of housing trait prices. The information on market price of housing is basic to the derivation/estimation of other market parameters such as housing demand and supply elasticities. In addition, housing trait prices constitute invaluable inputs into the analysis of effects of government housing programs. This paper presents estimates of housing trait prices in a Third World city housing market, the city of Jos in Nigeria. Nonlinear stochastic specification of a policy constrained hedonic price function is presented as an unbiased estimator of housing trait prices. The Box-Cox statistical procedure was employed in the paper to obtain hedonic regression coefficients which are the parameters needed to compute the average prices evaluated both at the mean of each trait and at their margins. The potential uses of housing trait prices for policy analysis are discussed briefly.     

HEDONIC PRICING WHEN HOUSING IS ENDOGENOUS: THE VALUE OF ACCESS TO THE TRANS‐ISRAEL HIGHWAY*

Standard hedonic house pricing assumes that house prices are independent of the intangible to be priced. A methodology is proposed in which the supply as well as the demand for housing depends on the intangible. The methodology is applied to value access to the Trans‐Israel Highway (TIH). Using spatial panel data (2002–2008) we show that TIH had two effects on the housing market. It increased house prices in locations with greater access to TIH, and it affected housing construction. Standard hedonic pricing would have underestimated the value of access because it ignores the effects of housing construction on the intangible to be priced. House prices began to increase three years before TIH was inaugurated, but housing construction did not anticipate the inauguration of TIH.     

THE EXCHANGEABILITY OF HEDONIC PROPERTY PRICE STUDIES*

ABSTRACT. Observations drawn from multiple markets are essential to the construction of indices of housing costs and to measures of demand for housing attributes. It is not evident when multiple markets exist or whether such markets exist for some attributes but not for others. We test for multiple markets by using Bayesian methods to assess the transferability (random exchangeability) of entire hedonic price expressions from one site and time to another, the transferability of hedonic price functions for particular attributes, and the degrees of similarity that hedonic price functions must have in order to be transferable. In our illustrations, price functions for structural housing attributes are generally transferable; prices for neighborhood attributes are not. Therefore, in our illustrations, the desired price indices and demand functions should be estimable for neighborhood attributes, but not for structural ones.     

PATTERNS AND DETERMINANTS OF PRODUCTIVE EFFICIENCY IN STATE MANUFACTURING*

ABSTRACT This paper uses a stochastic frontier production-function model to measure and compare productivity efficiency in the manufacturing sector of states in the United States over the period 1959–1972. Based on this model we find considerable variations in productive efficiency across states. A large portion of the variation is found to be related to regional differences in labor-force characteristics, levels of urbanization and industrial structure. We also examine the relationship between productive efficiency and the subsequent growth of manufacturing and find some evidence of a weak relationship between efficiency and the growth of employment.     

THE IMPACT OF CRIME ON APARTMENT PRICES: EVIDENCE FROM STOCKHOLM,SWEDEN

This study uses data of about 9,000 apartment sales in Stockholm, Sweden, to assess the impact of crime on property prices. The study employs hedonic pricing modelling to estimate the impact of crime controlling for other factors (property and neighbourhood characteristics). Geographic Information System (GIS) is used to combine apartment sales by coordinates with offences, land use characteristics and demographic data of the population. The novelty of this research is threefold. First, it explores a set of land use attributes created by spatial techniques in GIS in combination with detailed geographical data in hedonic pricing modelling. Second, the effect of crime in neighbouring zones at one place can be measured by incorporating spatial lagged variables of offence rates into the model. Third, the study provides evidence of the impact of crime on housing prices in a capital city of a traditional welfare state, information otherwise lacking in the international literature. Our results indicate that apartment prices in a specific area are strongly affected by crime in its neighbouring zones, regardless of crime type. When offences were broken down by types, residential burglary, theft, vandalism, assault and robbery individually had a significant negative effect on property values. However, for residential burglary such an effect is not homogenous across space, and apartment prices in central areas are often less discounted by being exposed to crime than those in the city's outskirts.     

基于非线性动力学模式的城市道路与人口的平衡分析

城市道路的发展状况已经成为制约城市社会经济发展的"瓶颈",许多地区采取了各种各样的措施来缓解交通压力,但是收效甚微,关键在于我们没有从根本上认识产生这一现象的根源。本文通过建立城市道路与人口的非线性动力学模式,分析城市道路与人口之间的关系。     

大城市旅游结构性增长的驱动力——基于广州和西安的比较研究

以广州和西安两个省会大城市为例,通过比较广州和西安旅游人数和旅游收入的增长差异,指出广州城市旅游呈现显著的结构性增长,而西安城市旅游的结构性增长不明显。进一步基于层次与等级的旅游供给分析框架,解释大城市旅游结构性增长的驱动力。研究表明,城市功能和地位的提升是大城市旅游的结构性增长的主导驱动力。大城市要实现旅游的结构性增长,要重点提升旅游相关的城市功能和地位,如政治、文化、现代服务业、交通、商业和城市接待功能等,并配合旅游核心要素的建设以及旅游主题和特色的营造。结构性增长是判断大城市旅游发展效率的重要指标,也是指导大城市旅游发展的重要参照。     

POPULATION GROWTH IN HIGH‐AMENITY NONMETROPOLITAN AREAS: WHAT'S THE PROGNOSIS?*

ABSTRACT This paper examines the continued strong population growth in U.S. nonmetropolitan areas possessing high levels of natural amenities during the 1990s and the reasons for near convergence of growth across the top tiers of the amenity hierarchy. Based on estimated parsimonious spatial hedonic growth regressions, strong demand for high‐amenity areas continued in the 1990s, but the converging of population growth across the top tiers appeared related to capitalization of amenity differences among the tiers into factor prices. Yet, evidence obtained from controlling for spatial effects suggests that the relative quality of life in the top two tiers had deteriorated.     

ACCOUNTING FOR LOCAL SPATIAL HETEROGENEITIES IN HOUSING MARKET STUDIES

We adopt a novel method to deal with omitted spatial heterogeneities in hedonic house price analysis. A Gaussian variant of the conditional autoregressive (CAR) model is used to study the impact of spatial effects. In a general linear modeling framework, we include zone‐specific random effects that are allowed to interact spatially with neighboring zones. The results demonstrate that this estimator accounts for missing spatial information, producing more reliable results on estimated spatially related coefficients. The CAR model is benchmarked against a fixed effects model. Socioeconomic neighborhood characteristics are found to have only modest impact on spatial variation in housing prices.