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The purpose of this paper is to investigate whether there is unequal treatment in hiring depending on whether a job applicant signals living in a bad (deprived) neighborhood or in a good (affluent) neighborhood.

The authors conducted a field experiment where fictitious job applications were sent to employers with an advertised vacancy. Each job application was randomly assigned a residential address in either a bad or a good neighborhood. The measured outcome is the fraction of invitations for a job interview (the callback rate).

The authors find no evidence of general neighborhood signaling effects. However, job applicants with a foreign background have callback rates that are 42 percent lower if they signal living in a bad neighborhood rather than in a good neighborhood. In addition, the authors find that applicants with commuting times longer than 90 minutes have lower callback rates, and this is unrelated to the neighborhood signaling effect.

Empirical evidence of causal neighborhood effects on labor market outcomes is scant, and causal evidence on the mechanisms involved is even more scant. The paper provides such evidence.

This paper discusses the factors to consider when designing studies to measure hiring discrimination against transgender job applicants.

The paper builds on academic literature related to hiring discrimination and transgender employment to build a detailed discussion of the numerous factors and issues inherent in hiring discrimination against transgender job applicants. By isolating and describing a number of relevant considerations, the paper aims to act as a guide for future studies to build upon.

Three types of hiring discrimination studies are discussed: correspondence tests, in-person experiments and student cohort experiments. Three main categories of factors relevant to an experiment’s design are then discussed: the legal context, industry/role factors and transgender population-specific factors. A flow-chart detailing the research design decision-making process is provided.

The discussion within this paper will act as a reference and a guide for researchers seeking to address the dearth of empirical studies in the literature. The list is not exhaustive; while a number of factors relevant to transgender-specific studies are identified, there may be more that could affect an experiment's design.

Hiring discrimination against transgender people has been recorded in many surveys, but there is little empirical measurement of this discrimination. To the author's knowledge, this paper is the first to examine the experimental design decisions related to transgender hiring discrimination. In doing so, it provides contributions for two primary audiences: those researching transgender employment issues but who have never conducted a study measuring hiring discrimination; and those who have previously conducted studies on hiring discrimination, but have not done so with reference to transgender job applicants.

Mortgage defaults within a neighborhood may tip the scales whereby a vicious cycle of disinvestment and deterioration in the surrounding neighborhoods begins. This paper aims to examine the impact that mortgage default has on properties in the same ZIP code and neighboring ZIP codes.

Hypothesizing that neighborhoods' susceptibility to cascade failure can be measured by the rate of acceleration of mortgage failures within the neighborhood, the paper introduces a model to investigate whether or not this vicious cycle is such that mortgage failures multiply, and there is a tipping point at which the downward cycle accelerate.

The paper applies the model to data for the Los Angeles metropolitan area for the period 2006-2007 and finds evidence of a tipping point.

The paper is limited by the availability of data with respect to both time and space.

A failure tipping point will provide a signal that mortgage crisis is pending. Reacting to this signal could allow financial markets to avert such crises in the future.

Some neighborhoods may resist being labelled as one with significant mortgage failure activity. This resistance may cause a negative reaction to these results and implementation for the findings.

To-date, no evidence of a mortgage failure tipping point has been discovered in the literature.

By building on cooperation–competition theory, this study aims to investigate the multidimensional flipped effects of neighborhood hotels on Airbnb listings’ popularity, examining the degree to which such impacts are influenced by hotel types and geographical areas.

This study explores the interdependent and competitive relationship between neighborhood hotels and Airbnb from the perspective of effects on Airbnb listings’ popularity by exploring a data set covering 10,492 Airbnb listings and 2,691 hotels from Ctrip.

Results reveal that neighborhood hotels’ number of reviews, review ratings and prices each have positive spillover effects on Airbnb listings’ popularity, while quality assurance labels and negative review topic sentiments exert competitive effects on Airbnb popularity. Moreover, the number of budget chain hotels and high-star hotels have positive and negative effects on Airbnb popularity, respectively. Geographical areas also have a moderating effect on the relationship between various hotel-related influencing factors and Airbnb.

This study can offer hotel managers and Airbnb operators a clearer understanding of these businesses’ coexisting relationship. Findings can also provide Airbnb-specific guidelines for practitioners in terms of site selection, promotional features and development strategies for Airbnb listings.

This study establishes a cooperation–competition relationship model between hotels and Airbnb and considers the flipped effects of hotels on Airbnb for the first time. It expands previous studies by considering the multidimensional effects of hotels on Airbnb listings’ popularity and by examining the influences of hotel types and geographical areas on hotels’ impacts on Airbnb.

The purpose of this paper is to examine the role private action has played in overcoming the collective action problem posed by Hurricane Katrina.

The paper analyses the post‐Hurricane Katrina situation with regard to commercial and civil society.

The paper argues that private recovery efforts within commercial and civil society challenge this assumption. Mutual assistance, commercial cooperation, and the redevelopment of key community resources help to overcome collective action problems by reducing the high costs of an early return and by signaling the potential for widespread recovery to individual actors. Though most redevelopment plans assume that a large‐scale government response is the only way to overcome the collective action problem.

Even in the absence of a government‐led reconstruction effort, the strategies described in the paper offer Gulf Coast residents tools for solving the collective action problem presented in the wake of catastrophic devastation.

The purpose of this paper is to assess the influences of social trust and neighborhood cohesion on public trust in the police in China.

This study used survey data collected from roughly 5,600 respondents by the 2012 Chinese General Social Survey (CGSS). Multivariate regression was employed to analyze the effects of two forms of social trust, generalized trust and particularized trust, and three types of neighborhood cohesion, neighbor solidary, support and interaction, on public trust in the Chinese police, controlling for personal background characteristics.

Both generalized trust and particularized trust exerted a significant positive effect on trust in the Chinese police. Greater neighborhood cohesion also enhanced public trust in the police. Elderly, women, less educated and people with rural hukou and higher perceived social class were more likely to trust the police.

The CGSS data contained only a single item that could be used to measure public trust in the police. Future studies should consider using multiple survey items to reflect Chinese people’s trust from different conceptual dimensions, such as procedural- and outcome-based trust and police legitimacy. The CGSS data also did not contain information on some relevant predictors, such as victimization and fear of crime, personal and vicarious contact experiences with the police, and news and social media usage and exposure. Future studies, if possible, should incorporate these theoretically relevant and empirically proven variables into the analysis.

Improving neighborhood cohesion is a clear path to cultivate stronger public trust in the police. Policy-makers and officials must bring the neighborhood-centered approach back to local governance by working closely with police leaders and other private and parochial social institutions to launch programs that can effectively stabilize and strengthen local communities and actively promoting positive interactions and social bonds among residents. Policies and programs aimed at enhancing public trust in the police should target at younger, better educated and urban Chinese who are more likely to be critical of the police.

Despite their high relevance, social trust and neighborhood cohesion have received only limited attention in past research on Chinese attitudes toward the police. This study represents one of the first attempts to examine different forms of social trust and neighborhood cohesion on public trust in the police in China.

Recent scholarship calls for identifying conditions in which procedurally just treatment translate to increased police legitimacy. The present study draws on community justice and vitality and procedural justice literature to examine whether adolescent and young adults’ perceptions of legitimate work and school opportunities in their neighborhoods moderate the effects of fair treatment by police on perceptions of police legitimacy.

Longitudinal data from a justice-involved youth sample and a series of generalized linear mixed models are used to test the study’s hypotheses. We model “persons as contexts” and separate within-person and between-person effects.

Main effects models indicate that procedural justice and neighborhood opportunities both have significant within-individual, between-individual and person-contextual effects on police legitimacy. Results from interaction models indicate strong support for a person-contextual interaction effect. Net of covariates, higher average perceptions of procedurally just treatment leads to greater average police legitimacy, but this effect erodes when individuals perceive weak educational and occupational opportunities in their neighborhoods over time.

Efforts to maximize police legitimacy may be enhanced through greater investment in community opportunity structures. This study highlights the need for public officials and police to support the educational and occupational vitality of communities as a key strategy to promote police legitimacy and optimize core aspects of the procedural justice model.

Austrian insights on the limits of central planning, the pervasiveness of knowledge problems, and the importance of the entrepreneur in coordinating social change have yielded substantive contributions to the literature on how individuals and communities respond to both natural and unnatural, or manmade, disasters. Austrian economists have examined the political economy of natural disasters, disaster relief and recovery efforts, the economic effects of extended wars, post-conflict societal reconstitution, and the effectiveness of humanitarian aid. This literature advances two main findings: (1) that centralized governments are likely to be ineffective at providing the goods and services that are necessary for community recovery and (2) that decentralized efforts are better suited to address the needs of society, to discover the best course of action for producing and distributing these goods and services, and to adapt to changing needs, circumstances, and technology. This paper examines the Austrian theories utilized to examine disasters, provides a summary of the recent research on both natural and unnatural disasters, and proposes areas for future research.

The purpose of the study is to introduce modeling of common neighborhood amenities as packages, rather than as separate independent variables in a single model. Results from the standard modeling technique of including separate controls for each amenity are provided for comparison. A secondary purpose is to provide price and time‐on‐market implications for amenities in seasoned versus newly constructed properties.

Common neighborhood amenities are grouped according to the total amenity bundle offered by each neighborhood. Hedonic pricing, hazard modeling, and two‐stage least squares regression are used to estimate price and time‐on‐market impacts for six common amenities.

Neighborhood tennis courts, clubhouses, boating facilities, and golf courses, as well as several amenity packages, significantly impact property values. Valuation of particular amenity packages differs between newly constructed and seasoned homes. Time‐on‐market results are less convincing.

Neighborhood amenities considered separately can produce misleading results, so amenity packages should be included in future research. Specific numerical results would not apply to other markets and perhaps not to other time periods.

The study offers evidence regarding which neighborhood amenities are valued most highly in newly constructed properties, which is of interest to developers. The study also offers evidence on which amenities are valued more highly in seasoned properties, which is of interest to buyers due to concerns about re‐sale values.

The study offers the first grouping of neighborhood amenities into packages to more closely resemble the way buyers consider amenities during the purchase decision. The study is also the first comprehensive survey of commonly‐offered neighborhood amenities.

The purpose of this paper is to assess the importance of group position and consciousness in predicting people’s perceptions of police fairness in China.

This study used survey data collected from 1,095 respondents in Shanghai. Multivariate regression was used to analyze the effects of group positions and group consciousness variables on perceived police fairness, controlling for personal, experiential and neighborhood factors.

Regardless of their own hukou status, individuals who live in high migrant areas expressed less favorable attitudes toward police fairness. Meanwhile, people who displayed greater degrees of sensitivity to bias in law rated police fairness less favorably, whereas people who expressed higher levels of moral alignment with the law and belief in no choice but to obey the police rated police fairness more favorably. Lower levels of neighborhood disorder and higher degrees of cohesion were also associated with more positive evaluations of police fairness.

The authors’ measure of migrant concentration was constructed based on respondents’ own assessments of this neighborhood feature. Future studies should consider using objective measures to supplement the construction of migrant concentration variables. The authors’ group consciousness variables are limited as they are general, non-residential status specific and only capture part of the traditionally conceptualized variable of group consciousness. Future study should employ better-worded items that can tap precisely into people’s various dimensions of social consciousness based on their group status.

Training officers has to give a high priority to the principles of both procedural and distributive justice, and implement performance and evaluation policies that support fair and responsive police behavior, particularly during situations where citizens report crime to and seek help from the police.

Despite their high relevance, variables reflecting group position have received marginal attention in previous research on public evaluations of the police in China. This study represents a first attempt to examine how the interactions between residence status and the level of neighborhood migrant concentration influence Chinese attitudes toward police fairness.