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...

Traditional urban policy focuses mainly on redevelopment measures. Germany's Social City programme incorporates urban regeneration with support to local communities in deprived neighbourhoods. We use microdata on household characteristics from the German Socio-Economic Panel (SOEP) and microdata...

Does the labeling of neighborhoods affect their outcomes? Place-based policies targeting disadvantaged areas aim to improve their conditions, but the labels they impose carry consequences of their own. In this paper, we examine Denmark's Ghetto Plan which designated public housing areas with a...

Geographic school admissions criteria bind residential and school choices for some parents, and could create externalities in equilibrium for non-parents through displacement or higher rent. Through a dynamic structural model, we show that the policy decision of geographic versus non-geographic...

There has been a good deal of attention in Irish policy discourse to housing supply and affordability. However, there has been less focus on the extent to which the quality of housing impacts the wellbeing of children and their parents. This study addresses this gap in knowledge by using data...

Does living in a low-income neighborhood have negative health consequences? We document causal neighborhood effects on health by exploiting a Spatial Dispersal Policy that quasi-randomly resettled refugees across neighborhoods from 1986 to 1998. Refugees allocated to low-income neighborhoods had...

This paper proposes a novel empirical strategy to estimate the causal effects of federal "redlining" - the mapping and grading of US neighborhoods by the Home Owners' Loan Corporation (HOLC). In the late 1930s, a federal agency created color-coded maps to summarize the financial risk of granting...

This comment revisits the analysis in Christensen and Timmins (2022). We identify two critical errors used in the original analysis, one with the data and the other with coding. When either error is corrected several major results in the paper change, either in statistical significance or in...

The provision of new subsidized housing projects presents an effective solution for alleviating the significant housing deficit in developing countries. However, limited knowledge exists regarding how these housing projects impact the quality of the surrounding environment, particularly when...

In this paper, we provide the first evidence of the effect of the shift to remote work on crime. We examine the impact of the rise of working from home (WFH) on neighborhood-level burglary rates, exploiting geographically granular crime data and a neighborhood WFH measure. We document three key...

Western literature shows evidence of a positive relationship between socio-spatial features of neighbourhoods and social interaction. However, there is little research exploring this relationship in the Chinese context, particularly between locals and migrants in peri-urban China where...

The provision of public transportation can improve the accessibility of work opportunities. However, predicting the labor market effects of new transit infrastructure is difficult because of endogenous worker decisions. I examine a large public-transit rail project on the island of Oahu, Hawaii....

We characterize the dynamics of neighborhood racial composition by using the k-medians machine learning technique to group neighborhoods into five different patterns according to the evolution of the Black population share of census tracts from 1950 through 1990. The procedure classifies tracts...

Background Federally qualified health centers (FQHCs) are integral to the U.S. healthcare safety net and uniquely situated in disadvantaged neighborhoods. The 2009 American Recovery and Reinvestment Act (ARRA) invested $2 billion in FQHC stimulus during the Great Recession; but it remains...