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.     

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.     

DETERMINANTS OF IMMIGRANTS’ ENTRY TO HOMEOWNERSHIP IN THREE NORDIC CAPITAL CITY REGIONS

The extent of homeownership among immigrants may be seen as an indicator of integration and as a determinant of ethnic residential segregation. Studies have shown differences in the determinants of homeownership between immigrants and natives, indicating that variation in homeownership is not only a function of differences in economic resources. These studies have largely focused on Anglo‐American contexts, using mostly cross‐sectional data. We apply survival analysis methods to analyse the determinants of entry to homeownership in the capital regions of three Nordic countries – Denmark, Finland and Sweden – utilizing longitudinal individual‐level register‐based datasets. We find that differences in entry to homeownership between natives and different immigrant groups cannot be explained by differences in socio‐economic background factors. We also find differences in the effects of these factors. Effects of income are generally weaker among non‐Western immigrants and immigrants are less responsive to changes in household composition. The share of non‐Western immigrants in the neighbourhood is only weakly related to entry to homeownership, while immigrants and natives living in public rental housing tend to be slightly less inclined to move to homeownership. Weaker income effects among immigrants, weak effects of ethnic segregation and the importance of the public rental sector differentiate our results from earlier findings. Weaker income effects may indicate that uncertainty about the future also affects middle‐income immigrants. Differences between the three contexts in housing markets and policies do not seem to matter much, although the results indicate that difficult access to the private rental sector may push immigrants to homeownership.     

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.     

Immigration,new religious symbols,and the dynamics of neighborhoods

Last decades' non-western immigration to Europe has resulted in culturally and religiously more diverse populations in many countries. One manifestation of this diversification is new features in the cityscape. Using a quasiexperimental approach, in which an unexpected political process that led way to the first public call to prayer from a mosque in Sweden is combined with rich, daily, information on housing sales and detailed monthly information on internal migration, this paper examines how one such new feature affects neighborhood dynamics. While our results indicate that the calls to prayer increased house prices closer to the mosque, we find no evidence of increased residential segregation between natives and immigrants.     

城中村外来人口的购房意愿研究——以深圳为例

本文以快速城市化的典型地区深圳作为研究区域,以居住在城中村的外来人口作为研究对象,调查其居住现状以及购房意愿,并分析其购房意愿的影响因素。分析发现,通过影响住房改善需求、未来发展规划、购房能力等,户主年龄、户主学历、住深时间、家庭收入、现住房的租金以及满意度、户主户口以及留深发展意愿对城中村外来人口家庭购房意愿有着显著的影响。     

Educational Outcomes and House Values: A Test of the value added Approach*

Abstract. We use house price hedonics to compare the extent that homeowners value traditional measures of school quality or the “value added” of schooling. Unlike other studies, we use spatial statistics as an identification strategy. Based on our study of 310 school districts and 77,000 house transactions, we find little support for the value added model. Instead, we find that households consistently value a district's average proficiency test scores and expenditures. The elasticity of house prices with respect to school expenditures is 0.49, and an increase in test scores by one standard deviation, ceteris paribus, raises house prices by 7.1 percent.     

THE IMPACT OF MIXED LAND USE ON RESIDENTIAL PROPERTY VALUES*

ABSTRACT Contemporary European urban planning policies aim to mix land uses in compact neighborhoods. It is presumed that mixing land uses yields socioeconomic benefits and therefore has a positive effect on housing values. In this paper, we investigate the impact of mixed land use on housing values using semiparametric estimation techniques. We demonstrate that a diverse neighborhood is positively valued by households. There are various land use types that have a positive impact on house prices, e.g., business services and leisure. Land uses that are incompatible with residential land use are, among others, manufacturing and wholesale. It appears that households are willing to pay about 2.5 percent more for a house in a mixed neighborhood. We also show that there is substantial heterogeneity in willingness to pay for mixed land use. For example, only apartment occupiers are willing to pay for an increase in diversity, whereas households living in other house types are not willing to pay for diversity.     

Do land use restrictions increase restaurant quality and diversity?

There is significant evidence that restrictions on residential land use reduce housing supply, increase house prices, and limit inflows of low‐income households. Local decision‐makers often argue that their efforts are mere attempts to preserve local amenities. We provide evidence that there is some truth to this claim: that residents of cities with more restrictions on land use appear to have access to higher‐quality and more diverse restaurants. In the process, we develop measures of restaurant quality based on organically generated data that, while strongly correlated with expert assessments, are more easily calculated at high frequencies and levels of geographic granularity.     

UNCERTAIN INCOME AND HOUSING PRICE AND LOCATION CHOICE*

ABSTRACT. In this paper, we adapt recent developments in uncertainty modeling to the location choice paradigm. In particular, we analyze the impact of income and housing price uncertainty on housing demand and location demand characteristics in a partial equilibrium framework. We begin by recognizing that housing consumption cannot readily be altered in response to changes in income and price. We find that income and house price risk affect housing and location demands in different ways. Additionally, the spatial characteristics of price risk also affect consumer housing and location demands. For example, if housing price risk is lower farther from the central city, housing demand can be greater in those locations even with the higher transportation cost. Thus, over some locations, the expected price gradient could be positive.     

Amenities,affordability, and housing vouchers

Against the background of an emerging rental affordability crisis, we examine how the standard rule that households should not spend more than 30% of their income on housing expenditures leads to inefficiencies in the context of federal low‐income housing policy. We quantify how the current practice of locally indexing individual rent subsidies in the Housing Choice Voucher (HCV) program regardless of quality‐of‐life conditions implicitly incentivizes recipients to live in high‐amenity areas. We also assess a novel scenario for housing policy reform that adjusts subsidies by the amenity expenditures of low‐income households, permitting national HCV program coverage to increase.     

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.     

ECONOMIC IMPACTS OF CULTURAL DIVERSITY IN THE NETHERLANDS: PRODUCTIVITY,UTILITY, AND SORTING*

ABSTRACT This paper identifies the impact of cultural diversity on local economies, by explaining spatial disparities in wages and housing prices across Dutch cities using unique individual panel data of homeowners during the period 1999 and 2008. We distinguish between the effects of spatial sorting based on individual heterogeneity, interactions‐based productivity effects, and consumer amenities while controlling for interactions between the labor and housing market. In line with previous literature, we find a positive effect of cultural diversity on average housing prices. After controlling for spatial sorting, the effect of cultural diversity on housing prices is negative. The negative impact of cultural diversity on local housing markets is likely driven by a causal effect between the presence of immigrants and neighborhood quality that outweighs a positive effect of immigrant‐induced diversity in consumption goods.     

Policy Impact and House Price Development at the Neighbourhood-level—a Comparison of Four Urban Regeneration Areas using the Concept of “Artificial” Value Creation

Urban planning measures and restructuring policies tend to cause unintended increases in house prices. The study compares urban renewal areas with respect to such policy impact on housing and neighbourhood quality and house prices in two city-contexts: Amsterdam and Budapest. It shows how four neighbourhoods that have been subject to various forms of urban regeneration differ in their trajectories of house price development. The results tie with well-documented, mostly Anglo-American experiences of related phenomena such as New Urbanism, Neo-traditional communities and gentrification. Furthermore, the study merges two research objectives that often are seen as incompatible: housing markets and urban regeneration.     

Economic valuation of a rise in ambient radiation risks: Hedonic pricing evidence from the accident in Fukushima

Using a combined data set of radiation levels and property prices from Fukushima and Miyagi prefectures that runs from 2009 to early 2017, the economic impact of radiation from the Fukushima nuclear accident is assessed. A 1 percent rise in radiation is associated with approximately 0.051 percentage drop in housing prices and though the level of radiation falls substantially after 2011, the estimated elasticity is broadly stable. The associated estimate of VSL (value of a statistical life) is in the region of US$4.5–6.4 million, which suggests no strong element of dread or overestimation of risks is present.     

Earthquakes,grants, and public expenditure: How municipalities respond to natural disasters

We analyze the response of municipalities to the occurrence of natural disasters in terms of spending behavior, use of upper-tier transfers and recovery, using balance sheet data of about 8,000 Italian municipalities for the period 2000–2015, and the universe of earthquakes events. We find evidence of increasing expenditure for about 12 years after the shocks, with asymmetric responses between earthquake-related and unconditional grants, and heterogeneous flypaper effects across the country. While in northern municipalities expenditure tends to regress to pre-earthquake levels, southern municipalities stick to higher expenditure levels when grants drop. This evidence is coupled with a faster recovery of private income and housing prices in northern municipalities.     

SUFFICIENT CONDITIONS FOR NEGATIVE EXPONENTIAL DENSITIES A FURTHER ANALYSIS

ABSTRACT Brueckner correctly pointed out that one of the sufficient conditions for negative exponential densities is a unitary price elasticity of the compensated, not the uncompensated, demand for housing. This note shows that the Brueckner condition implies a zero income elasticity of housing demand when income and price elasticities are constrained to be constants. It also derives the utility function that gives rise to negative exponential densities in this case, given that other standard assumptions are satisfied. In light of empirical evidence, justification for the popular negative exponential functional form seems rather weak.     

ECONOMIC FUNDAMENTALS IN LOCAL HOUSING MARKETS: EVIDENCE FROM U.S. METROPOLITAN REGIONS

ABSTRACT.  This paper investigates the effects of national and regional economic conditions on outcomes in the single-family housing market: housing prices, vacancies, and residential construction activity. Our three-equation model confirms the importance of changes in regional economic conditions, income, and employment on local housing markets. The results also provide the first detailed evidence on the importance of vacancies in the owner-occupied housing market on housing prices and supplier activities. The results also document the importance of variations in materials, labor and capital costs, and regulation in affecting new supply. Simulation exercises, using standard impulse response models, document the lags in market responses to exogenous shocks and the variations arising from differences in local parameters. The results also suggest the importance of local regulation in affecting the pattern of market responses to regional income shocks.     

北京市居民租赁住房可支付能力及空间分异研究

长期以来，我国租赁住房市场被严重边缘化，“十三五”规划明确提出建立租购并举的住房制度，彰显了让住房回归“居住属性”特征。住房租赁市场成为研究热点，而居民的租赁住房可支付能力是其关键。本文将保障性租赁住房与商品性租赁住房合为一体作为研究对象，从我国住房租赁市场的现状出发，客观评价不同人群的家庭可支配收入、最低非住房消费标准、住房补贴比例等指标，在此基础上定义人均租赁住房可支付能力指数，用于评估不同人群的可支付能力。结合目前的租赁住房市场的供给情况，运用GIS软件分析居民可支付能力的空间特征，分析北京市现有租赁住房与居民租房可支付能力匹配情况，对于合理制定多层次租赁住房市场政策具有参考意义。     

Mode Choice,Commuting Cost,and Urban Household Behavior*

Abstract. In this paper, we extend the partial equilibrium urban model of DeSalvo (1985) to include mode choice. DeSalvo demonstrated that the urban model of Muth (1969) was robust to the extension to leisure choice. We show that the model is robust to mode choice as well. In addition, we derive the comparative static results that commuters choose higher speed modes for longer commutes, at higher wage rates, with greater tastes for housing, and with lower housing prices. Also, for a given distance commuted, we derive the comparative static result that commuters chose shorter duration commutes at higher wage rates. Whereas it is typically assumed that marginal commuting cost is positive and non‐increasing with distance, we derive these results. Moreover, we derive the results that marginal commuting cost rises with an exogenous increase in housing price and falls with increased tastes for housing. We also explore the effects of exogenous commuting‐cost changes on the endogenous variables of the model. The remaining comparative static results on housing consumption and location are qualitatively the same as in DeSalvo.