IS THE ART MARKET MORE BOURGEOIS THAN BOHEMIAN?

Most research on the art market focuses on the high end, composed of auction houses and a few well‐known dealers. In this paper, we use a new database to examine the industry structure and location patterns of the New York art market, which consists largely of small, independent, relatively unknown galleries. We find that Manhattan galleries are highly spatially concentrated, and that clustering reflects both agglomeration economies and preferences over location‐specific amenities. New galleries are more likely to open in neighborhoods with existing gallery clusters, and proximity to other galleries increases establishment lifespan. New galleries also locate in neighborhoods with high population density and more affluent households, consistent with location models of luxury retail. The results are not consistent with the hypothesis that galleries locate in cheap, “bohemian” neighborhoods.     

External validity of hedonic price estimates: Heterogeneity in the price discount associated with having Black and Hispanic neighbors

We examined the hedonic price of neighborhood racial composition across a sample of 180 US housing markets and compared heterogeneity in results. Statistically significant estimated price elasticities calculated at the mean ranged from ?0.61 to 0.2 and ?0.26 to 0.21, for increases in Black and Hispanic neighborhood proportion, respectively. Hedonic price discounts for Black neighborhoods were greater when land supply was more inelastic, when the land value share of the housing cost was greater, and in the southern portion of the United States. Hedonic price discounts associated with Hispanic neighborhoods exhibited no patterns relative to geography or housing supply factors.     

URBAN GROWTH EXTERNALITIES AND NEIGHBORHOOD INCENTIVES: ANOTHER CAUSE OF URBAN SPRAWL?*

ABSTRACT This paper suggests a cause of low density urban development or urban sprawl that has not been given much attention in the literature. There have been a number of arguments put forward for market failures that may account for urban sprawl, including incomplete pricing of infrastructure, environmental externalities, and unpriced congestion. The problem analyzed here is that urban growth creates benefits for an entire urban area, but the costs of growth are borne by individual neighborhoods. An externality problem arises because existing residents perceive the costs associated with the new residents locating in their neighborhoods, but not the full benefits of new entrants which accrue to the city as a whole. The result is that existing residents have an incentive to block new residents to their neighborhoods, resulting in cities that are less dense than is optimal, or too spread out. The paper models several different types of urban growth, and examines the optimal and local choice outcomes under each type. In the first model, population growth is endogenous and the physical limits of the city are fixed. The second model examines the case in which population growth in the region is given, but the city boundary is allowed to vary. We show that in both cases the city will tend to be larger and less dense than is optimal. In each, we examine the sensitivity of the model to the number of neighborhoods and to the size of infrastructure and transportation costs. Finally, we examine optimal subsidies and see how they compare to current policies such as impact fees on new development.     

TRENDS IN NEIGHBORHOOD INCOME INEQUALITY IN THE U.S.: 1980–2000*

ABSTRACT This paper reports evidence on the geographic pattern of income inequality, both within and between neighborhoods, across a sample of 359 U.S. metropolitan areas between 1980 and 2000. The results indicate that overall income inequality within a metro area tends to be driven by variation within neighborhoods, not between them, although we find that between‐neighborhood differences rose dramatically during the 1980s and subsided somewhat during the 1990s. While this trend is similar to what existing research has found, our findings reveal potentially important differences in the magnitudes of the changes depending on whether neighborhoods are defined by block groups or tracts.     

WELCOME TO THE NEIGHBORHOOD: HOW CAN REGIONAL SCIENCE CONTRIBUTE TO THE STUDY OF NEIGHBORHOODS?*

ABSTRACT We argue in this paper that neighborhoods are highly relevant for the types of issues at the heart of regional science. First, residential and economic activity takes place in particular locations, and particular neighborhoods. Many attributes of those neighborhood environments matter for this activity, from the physical amenities, to the quality of the public and private services received. Second, those neighborhoods vary in their placement in the larger region and this broader arrangement of neighborhoods is particularly important for location choices, commuting behavior and travel patterns. Third, sorting across these neighborhoods by race and income may well matter for educational and labor market outcomes, important components of a region's overall economic activity. For each of these areas we suggest a series of unanswered questions that would benefit from more attention. Focused on neighborhood characteristics themselves, there are important gaps in our understanding of how neighborhoods change – the causes and the consequences. In terms of the overall pattern of neighborhoods and resulting commuting patterns, this connects directly to current concerns about environmental sustainability and there is much need for research relevant to policy makers. And in terms of segregation and sorting across neighborhoods, work is needed on better spatial measures. In addition, housing market causes and consequences for local economic activity are under researched. We expand on each of these, finishing with some suggestions on how newly available data, with improved spatial identifiers, may enable regional scientists to answer some of these research questions.     

Household Craft Production in the Prehispanic Urban Setting of Mayapán,Yucatan, Mexico

The complexity of the organization of craft production mirrors multiple aspects of the larger political economies of premodern states. At the late Maya urban center of Mayapán, variation in the social contexts of crafting within a single settlement defies simple classificatory models that once held sway in the literature of nonWestern state societies. Most surplus crafters were independent and affluent commoners; notable exceptions include artisans working under direct elite supervision or elites who were directly engaged in crafting. Although household workshops concentrated around the city’s epicenter, others were dispersed across the site in unassuming residential neighborhoods or near outlying monumental groups. We consider the significance of pronounced household and regional economic interdependencies founded on well-developed surplus crafting practices, imported raw materials, market exchange, and tribute obligations at Mayapán. As for other premodern states, craft production also gave rise to greater opportunities for wealth differentiation within the commoner class. Producers in this urban political capital contributed in significant ways to a stable political economy by supplying goods that were required at all levels of the social hierarchy.     

主观感知的城市环境对居民健康的影响研究——基于全国60个县市的大样本调查

在“健康中国”战略推进和健康城市建设背景下，关注城市建成环境对公共健康影响的研究日益增加。目前相关研究主要纳入了客观测量的城市环境变量，而主观感知的城市环境变量能够体现出客观测量的城市环境变量难以捕捉的健康影响效应，具体作用有待深入探究。本研究建立了个体、社区和城市三个层面的分析框架，基于中国社会科学院社会发展战略研究院于2016年开展的“社会态度与社会发展状况”全国大样本问卷调研数据，探究主观感知的城市物质环境和服务环境对居民自评健康的影响作用并识别显著影响要素。研究发现：感知的城市环境对居民自评健康具有显著影响，其中居民对城市绿化、基础设施状况、住房保障和医疗服务的感知是影响自评健康较为主要的环境感知因素。最后本研究基于定量分析结果讨论对健康城市评价和研究的启示，推动健康城市的发展。     

School Vouchers and Student Attainment: Evidence from a State‐Mandated Study of Milwaukee's Parental Choice Program

In this article we examine educational attainment levels for students in Milwaukee's citywide voucher program and a comparable group of public school students. Using unique data collected as part of a state‐mandated evaluation of the program, we consider high school graduation and enrollment in postsecondary institutions for students initially exposed to voucher schools and those in public schools at the same time. We show that exposure to voucher schools was related to graduation and, in particular, to enrollment and persistence in a 4‐year college. These differences are apparent despite controls for student neighborhoods, demographics, early‐career test scores and—for a subsample of survey respondents—controls for parental education, income, religious behavior, and marital status. We conclude by stressing the implications for future scholarship and policy, including the importance of attainment outcomes in educational research.     

Forecasting in a Small and Unstable Regional Economy Using Regime Shifting Models: The Case of Extremadura

We consider forecasting in a small and unstable regional economy subject to structural breaks. In this context, we work with two types of regime‐shifting databased models using cointegration theory. The objective of the present work is to analyze the out‐of‐sample forecasting performance of the two approaches used to construct a short‐term regional econometric model: stochastic and deterministic time varying parameters models. The forecasting experiments will be illustrated by specifying, and estimating an econometric model for Extremadura, a small and unstable region in southwestern Spain.     

Estates against the state? Evidence from the 2005 wave of French riots

Violent anti-state rioting has erupted in many neighborhoods in Western Europe over the last thirty years. Conventional explanations emphasize socioeconomic or ethno-racial grievances, the under-representation of immigrant minorities, or the effects of national integration models on state-minority relations. Much less attention has been paid to the particular characteristics of the neighborhoods in which anti-state rioting takes place. I argue that living in neighborhoods with large social-housing estates fuels grievances over territorial stigmatization, poor administration and heavy-handed policing. In addition, rioters hailing from such urban areas enjoy tactical advantages and employ territorially anchored networks and identities. Using an original municipal-level dataset from the 2005 wave of anti-state riots in France and controlling for competing explanations the paper provides evidence that the propensity and intensity of anti-state rioting are associated with the presence of large social-housing estates. Further supporting evidence for the hypothesized mechanisms is subsequently provided from the 2005 and previous rioting episodes in France.     

The geography of unsheltered homelessness in the city: Evidence from “311” calls in New York

We provide the first detailed evidence on the distribution of unsheltered homelessness within the city. We rely on “311” call data reporting unsheltered homeless individuals to New York City authorities, based on evidence that the distribution of calls reflects their actual locations. Centrality dominates an otherwise important role of median income in explaining variation in unsheltered homelessness across neighborhoods. Subway stations and restaurants are important as well. We also find that police respond more quickly to calls in more affluent and central neighborhoods. This suggests that the distribution of homelessness across neighborhoods could affect the city's overall response.     

DRS. MUTH AND MILLS MEET DR. TIEBOUT: INTEGRATING LOCATION‐SPECIFIC AMENITIES INTO MULTI‐COMMUNITY EQUILIBRIUM MODELS*

ABSTRACT We consider the problem of integrating spatial amenities into locational equilibrium models with multiple jurisdictions. We provide sufficient conditions under which models that assume a single housing price in each community continue to apply in the presence of location‐specific amenities that vary both within and across communities. If these conditions are satisfied, the models, estimation methods, and results in Epple and Sieg (1999) are valid in the presence of (potentially unobserved) location‐specific amenities. We also show how to construct sufficient statistics that capture location specific spatial heterogeneity. We apply these techniques using data from the Pittsburgh metropolitan area. We find that these amenity measures capture proximity to important local employment centers as well as heterogeneity in school quality within a given school district.     

Urban contexts,spatially dispersed networks,and the diffusion of political information

This paper examines the spatial and temporal diffusion of political information within urban areas. We construct a multi-level analysis of information and communication, dependent on time, that is based on interviews with residents of the Indianapolis and St Louis metropolitan areas during the 1996 presidential election campaign. Moreover, based on a social network name generator, interviews were also conducted with discussants of the main respondents to the survey. Both sets of interviews are spread over a period of ten months, and we are able to locate the main respondents and their discussants within the urban neighborhoods where they reside. Hence, both the individual respondents and their discussants are located in time and space. Levels of aggregation are both dynamic and spatial, based on individuals who are located within residential neighborhoods and networks of social and political communication.We draw three main conclusions. First, not all networks are spatially dispersed, but some are, and the factors that give rise to spatial dispersion are directly related to an individual’s position in social structure. Second, spatially dispersed networks produce a number of important consequences, but none is more important than decreasing the density of the respondents’ communication networks. Finally, spatially dispersed networks are not necessarily politically diverse, but they are more likely to connect individuals who reside in socially and politically divergent settings.     

Teardowns,popups, and renovations: How does housing supply change?

Cities grow in layers over time. As population and land values increase, older, smaller buildings are replaced with higher density, higher value structures. However, direct costs of redevelopment and institutional barriers such as zoning may constrain replacement of older structures, leading to alternate forms of supply adjustment. In this paper, I use data on building permits in Washington DC to examine three different forms of residential investment: new construction, expansion of existing structures, and renovation. Results suggest that new construction accounts for a relatively small part of residential investment and is highly concentrated in a few neighborhoods. Expansions and alterations of existing structures are more frequent and more evenly dispersed across space. Recent increases in housing values are correlated with more new construction, but only among neighborhoods with relatively more permissive zoning. Additions and alterations are more prevalent in neighborhoods with high property values, older housing, and more restrictive zoning.     

Bedeutung kleinräumiger Daten für die Evaluation von Bildungsprojekten

The Junior University, a University for children and youth in the city of Wuppertal, offers science courses that target children and youth from all socioeconomic backgrounds. The first evaluation study done by the University of Wuppertal in 2013 aimed at examining whether the Junior University has achieved this goal. The main challenge of our analysis was to approximate missing individual information on socioeconomic status by using spatial data. Therefore, we georeferenced address information of the Junior University students and linked those results to different characteristics available for about 2800 city blocks in the city of Wuppertal. We found out that indeed the Junior University succeeds in attracting children and youth from all socioeconomic backgrounds. The results show that many of the students live in poor neighborhoods or in neighborhoods with a high share of immigrants.     

THE MINORITY HOMEOWNERSHIP GAP,HOME FORECLOSURE,AND NATIVITY: EVIDENCE FROM MIAMI‐DADE COUNTY*

ABSTRACT This paper investigates the interplay between nativity and both homeownership and foreclosure in Miami‐Dade County, Florida at both the individual and community levels. We estimate the likelihood of individual‐level home ownership based on place of birth and year of entry to the U.S., and separately estimate community‐level foreclosures based on the demographic composition of neighborhoods. Results confirm previous work: all subgroups, except Cubans, are less likely to be homeowners than white, non‐Hispanics and only Cuban neighborhoods had foreclosure rates significantly lower than rates in white, non‐Hispanic neighborhoods. Nativity has a stronger effect on homeownership than on foreclosure levels.     

Reassessing the chronology of the Mississippian Central Illinois River Valley using Bayesian analysis

Chronology building has long served as a major focus of archaeological interest in the Central Illinois River valley (CIRV) of west-central Illinois. Previous methods have relied primarily upon relative dating techniques (e.g., ceramic seriation) as a means of sorting out temporal relationships between sites. This study represents the first investigation into the utility of Bayesian techniques (which consider radiocarbon dates in context with archaeological information) in the CIRV. We present the results of a detailed ceramic seriation of the region, data that we use as a priori information in our Bayesian models. We then offer contiguous, overlapping, and sequential models of site occupations in the Mississippian CIRV, review the output and appropriateness of each model, and consider their implications for the pace of sociopolitical change in the region.     

Influence of Race on Household Residential Utility

Residential location choice models are an important tool employed by urban geographers, planners, and transportation engineers for understanding household residential location behavior and for predicting future residential location activity. Racial segregation and residential racial preferences have been studied extensively using a variety of analysis techniques in social science research, but racial preferences have generally not been adequately incorporated into residential location choice models. This research develops residential location choice model specifications with a variety of alternative methods of addressing racial preferences in residential location decisions. The research tests whether social class, family structure, and in‐group racial preferences are sufficient to explain household sensitivity to neighborhood racial composition. The importance of the interaction between the proportion of in‐group race neighbors and other‐race neighbors is also evaluated. Models for the San Francisco Bay metropolitan area are estimated and evidence of significant avoidance behavior by households of all races is found. The results suggest that social class differences, family structure differences, and in‐group racial preferences alone are not sufficient to explain household residential racial preference and that households of all races practice racial avoidance behavior. Particularly pronounced avoidance of black neighbors by Asian households, Hispanic neighbors by black households, and Asian neighbors by white households are found. Evidence of a decrease in household racial avoidance intensity in neighborhoods with large numbers of own‐race neighbors is also found.     

Violence and territorial order in Caracas,Venezuela

In 2015, Caracas, Venezuela, had a homicide rate of 75 per 100,000 inhabitants, which made it one of the most violent cities in the world that year. Despite these high rates of violence, the international community knows relatively little about the dynamics underlying conflict in the city. Through a systematic comparison of three poor and working-class neighborhoods in the Caracas metropolitan area, this article analyzes the factors that have driven these remarkably high rates of violence, as well as those factors that have configured the heterogeneous violent conditions that operate across the city. Building on extensive interviews in these neighborhoods, we argue that the levels of violence in particular locales derive from the ways in which the Bolivarian political regime failed in its efforts to incorporate the poor and working-class inhabitants of different parts of the metropolitan area into the political, social, and economic systems that dominate the country today. We also argue that variation in violence results from the way in which certain neighborhoods are geographically inserted into local illicit economies and the political and social dynamics of an increasingly violent and unstable political system.     

Aggregation of Regional Economic Time Series with Different Spatial Correlation Structures. 具有不同空间相关结构的区域经济时间序列集成

In this article, we compare the relative efficiency of different forecasting methods of space‐time series when variables are spatially and temporally correlated. We consider two cases: (1) univariate forecasting (i.e., a space‐time series aggregated into a single time series) and (2) the more general instance of multivariate forecasting (i.e., a space‐time series aggregated into a coarser spatial partition). We extend the results in the literature by including the consideration of larger datasets and the treatment of edge effects and of negative spatial correlation. We first introduce a statistical framework based on the space‐time autoregressive class of random field models, which constitutes the basis of our simulation study, and we present the various alternative forecasting methods considered in the simulation. We then present the results of a Monte Carlo study related to univariate forecasting. In order to allow a comparison with the findings of Giacomini and Granger (2004), we consider the same forecasting strategies and the same combinations of the parameter values used there, but with a larger parametric set. Finally, we extend our analysis to the case of multivariate forecasting. The outcomes obtained provide operational suggestions about how to choose between alternative forecasting methods in empirical circumstances.