George Galster

The longstanding U.S. approach for treating chronically homeless people with mental illness and/or substance use disorders has been Housing First (HF): providing permanent supportive housing with wrap-around services, with no requirements on participants to engage in behavioral health support. The Trump Administration has recently reversed course, adopting an alternative strategy: Treatment First (TF). This research note addresses the question of which approach is more effective for treating mental illness and substance use disorders. My review of results from randomized controlled trials conducted in the United States demonstrates that neither HF nor TF approaches represent panaceas in helping the chronically homeless improve their mental health or free themselves from addiction. Results imply that we should adopt a more heterodox strategy that can better tailor treatments to individual circumstances—and build the requisite human, housing, and institutional resources in the public health domain to support such—if we are to fight the symbiotic challenges of chronic homelessness, mental illness, and substance use disorders successfully.

Neighbourhoods are salient for many dimensions of individuals’ social and economic well-being, yet the impacts of rapidly emerging digital information and communication technologies (DICTs) on neighbourhoods and the social processes within them are understudied. This gap motivates this Special Issue, the themes of which we introduce here. We provide an overarching conceptual framework within which the topics, conceptualisations and empirical results of the 11 constituent research papers can be placed. Our framework posits multiple, mutually causal interrelationships between each element in the triad of neighbourhoods, individual residents’ characteristics and individual residents’ actions. In each element we focus on the role(s) of DICTs and their interplay with social processes. These technologies alter traditional housing search patterns, sometimes reinforcing existing segregation, but they also present opportunities for greater access to information and potential social integration. The issue’s 11 research papers, contributed by scholars from various global contexts, explore diverse aspects of these themes. They examine how DICTs mediate neighbourhood change by influencing local housing choices, amplifying or mitigating neighbourhood stigma and transforming social cohesion. By offering a rich empirical and conceptual exploration, this special issue aims to deepen our understanding of the transformative role that DICTs play in neighbourhoods, urging further research into their implications for neighbourhood change and urban social processes.

Using longitudinal register data from Oslo, Norway, this article examines how cumulative childhood exposure to family and neighbourhood contexts influences the educational attainments of young adults, paying special attention to how these determinants vary by gender and immigrant status. Specifically, we examine how neighbourhood socioeconomic and immigrant context experienced during childhood affects the completion of secondary school and university enrolment during young adulthood. We assess the extent of effect heterogeneity for three immigrant status groups stratified by gender. We control for geographical selection using a recently developed technique that first models parental selection of neighbourhood attributes and then uses the resulting predicted probabilities of selection as instruments in the neighbourhood-effects-on-education model. We find that neighbourhood affluence, educational levels and non-Western immigrant composition have important impacts on young adult educational outcomes, though results differ sharply by gender and immigrant status.

1. Large and expanding inequalities in individual wealth holdings are increasingly common internationally, raising concerns because of their economic, ethical, political, and social implications (K...

We provide a US national portrait of annual average exposure to floods across racial/ethnic and income groups, using predictions from the First Street Foundation flooding exposure model. Nationally, we find that Native Americans in inland neighborhoods and Hispanics in coastal ones face (statistically) significantly higher average exposure to flooding than non‐Hispanic Whites, even when neighborhood income composition is controlled. Surprisingly, non‐Hispanic Blacks and Asians generally have significantly lower average exposure to floods than non‐Hispanic Whites. Lower income groups exhibit substantially higher exposure in inland areas than higher income groups—but not in coastal areas—when neighborhood racial/ethnic composition is controlled.

We investigate theoretically and empirically how urban residence contributes to interpersonal differentials in wealth accumulation trajectories through its interrelated influences on labour and housing market outcomes. On the basis of Norwegian register data, we estimate models of one's position in various national wealth distributions over the 2010–2018 period, employing fixed‐effects to reduce geographic selection bias and obtain plausibly causal estimates of the impact of moving between levels of the rural–urban hierarchy. We find that residing in a more urbanized area for a longer duration is strongly related to one's rank in the net wealth, housing wealth and financial wealth distributions. Differentials in net wealth growth among levels of urbanization are most dramatic for younger and higher‐educated individuals, with further advantages for those who settle in Oslo. Structural equation modelling reveals that these plausibly causal effects arise primarily through gains in housing equity and (to a lesser degree) in earnings and capital incomes, confirming our conceptual model.

Despite much research on the societal and individual consequences of new digital communication technologies, little attention has been paid to the neighbourhood as a locus of impact. This paper investigates how the growing influence of social media and real estate platforms will likely shape the process of neighbourhood change and the geographic distribution of population and financial resources. The investigation is grounded on a model of neighbourhood dynamics based on flows of households and property investments across metropolitan space, which are guided by imperfect information about housing market opportunities. Decision-makers receive information passively (increasingly through local and non-local social media) and when uncertainty about course of action becomes intolerable they turn to active search (increasingly involving online real estate platforms). Based on this conceptual framing, the article synthesises extant research to draw implications on how the expanding use of these new technologies is affecting neighbourhoods by changing the composition of decision-makers and the information that underpins their decisions. It concludes that digitalisation reduces neighbourhoods residential stability, social capital and diversity, while rendering their dwellings less well-maintained and more expensive.