We estimate the effect of neighborhood disorder on dementia risk among middle-aged and older adults in the United States and identify cardiometabolic dysregulation as a mediating biological pathway. Using data from the Health and Retirement Study (HRS, 2006-2020), we show that exposure to...

Human capital—the health, knowledge, skills, and experience that people accumulate throughout their lives—is essential for productivity and economic growth. Yet, progress has stalled, and there have even been reversals in human capital accumulation over the last 15 years. Two-thirds of low-...

We study residential segregation and access to public services across 1.5 million urban and rural neighborhoods in India. Muslim and Scheduled Caste segregation in India is high by global standards, and only slightly lower than Black-White segregation in the U.S. Within cities, public facilities...

This paper examines the impact of neighbourhood social interactions on a household's ability to produce their child's scholastic achievement. A time-varying stochastic frontier model and a spatial Durbin model are used to estimate endogenous and contextual neighbourhood effects on household...

We study residential segregation and access to public services across 1.5 million urban and rural neighborhoods in India. Muslim and Scheduled Caste segregation in India is high by global standards, and only slightly lower than Black-White segregation in the U.S. Within cities, public facilities...

Which poverty context matters for long-term outcomes-family or community, economic or social? We construct a measure of poverty along these dimensions and analyze individual-level longitudinal data spanning 21 years in Indonesia to examine the long-term outcomes associated with different types...

Racial and ethnic minorities with dementia are substantially less likely to receive timely diagnoses, yet the factors underlying these gaps remain poorly quantified. Using nationally representative Health and Retirement Study (HRS) data linked to Medicare claims (1998- 2021) and National...

Racial and ethnic minorities with dementia are substantially less likely to receive timely diagnoses, yet the factors underlying these gaps remain poorly quantified. Using nationally representative Health and Retirement Study (HRS) data linked to Medicare claims (1998-2021) and National...

We estimate the effect of neighborhood disorder on dementia risk among middle-aged and older adults in the United States and identify cardiometabolic dysregulation as a mediating biological pathway. Using data from the Health and Retirement Study (HRS, 2006-2020), we show that exposure to...

This study investigates whether improved transit opportunities increase income of nearby residents by improving access to work opportunities. To explore this hypothesis, we employ a difference-in-differences model combined with matching to examine the effects of constructing a light rail transit...

While the influence of neighborhoods on later life outcomes is well documented, the historical processes that shaped the growth and social makeup of urban areas are less understood. We address this by analyzing newly compiled geocoded data covering the entire population of Stockholm from 1878 to...

We incorporate the endogenous feedback loop at the core of the seminal Schelling (1969) model of segregation into a dynamic model of neighborhood choice and use it to study the forces that shaped racial and income segregation in the San Francisco Bay area from 1990 to 2004. Such an analysis...

The case for government supply of housing hinges on two key questions: do intended beneficiaries value it more than the cost to the state of providing it, and does relocation to remote housing sites impose unintended costs for movers or society? I study a large-scale lottery in Addis Ababa,...

We examine the urban learning and schooling premium in Peru using two approaches: 1) estimating the effect of local population density on pupils' value-added in learning between grades two to eight, 2) quasi-experimental Census estimations on the effects of the duration of urban exposure in...

The influence of neighborhood environments on children's future outcomes has attracted significant scholarly attention in recent years. This study contributes to the existing literature by examining how neighborhood segregation during adolescence affects the likelihood of securing a high-skill...

This study examines whether the COVID-19 pandemic led to lasting shifts in residential housing valuation in the UK, focusing on Greater London and seven major cities. The following questions are addressed: a) Was this change in residential valuations temporary, or is it likely to be permanent?...

The effective categorisation of neighbourhoods is a critical component of urban planning and development, providing a systematic framework for identifying and addressing the distinct characteristics and needs of different areas. This study utilises data from the open-source platform...

We study how labeling of neighborhoods affects the performance and sorting of young residents at the junction of enrolling in high school. Exploiting the release of a much publicized official situation report on carefully delineated troubled neighborhoods in Sweden we estimate the effect of this...

In this article, we explore the relationship between ethnic discrimination and neighborhood composition using a field experiment involving employment applications in the fast-food industry in metropolitan France. First of all, we note a high overall level of discrimination in hiring on the basis...

While the COVID-19 pandemic has intensified counter-urban migration trends globally, with rural areas often portrayed as ideal havens, the post-migration realities and risks faced by rural in-migrants remain understudied. Addressing this research gap, this research investigates the neighborhood...

This paper asks whether Denmark's large-scale intervention in disadvantaged public-housing neighbourhoods on the "Ghetto List" in 2010 altered the trajectories of the neighbourhoods and improved economic outcomes of pre-existing residents through infrastructural improvements and social...

The case for government supply of housing hinges on two key questions: do intended beneficiaries value it more than the cost to the state of providing it, and does relocation to remote housing sites impose unintended costs for movers or society? I study a large-scale lottery in Addis Ababa,...

Artificial intelligence (AI) is revolutionizing urban planning by enhancing the simulation of urban growth and land-use changes. Most AI models often fail to predict how proposed development areas will shape future expansion, leading to misaligned planning and urban sprawl. This study addresses...

While scholars have explored the dynamics of African border communities focusing on context-specific everyday practices of crime prevention and safer neighbourhood strategies, attention is often directed to community policing than other strategies. Relatively little attention has been dedicated...