Suchergebnisse

There is a growing body of urban research and theory on the existence and persistence of concentration areas. Segregation takes many forms in cities. On one end of the spectrum, we discern ghettos (where members of the same ethnic group live because they have no other choice); on the other end, we find enclaves (areas with people belonging to the same ethnic group who choose to live there). It is important to find out if people are housed in neighborhoods where they want or do not want to live. If they reside in areas that are not their own choice, something might be wrong with the housing system, making adaptations necessary. This article focuses on the housing situation of Turks in the Netherlands. The present concentration patterns of Turks in Dutch cities show differences among cities, whereby housing policy seems to play a decisive role. The question posed in this article is how neighborhoods with a concentration of Turks can be characterized.

We use data from a housing-assistance experiment to estimate a model of neighborhood choice. The experimental variation effectively randomizes the rents which households face and helps identify a key structural parameter. Access to two randomly selected treatment groups and a control group allows for out-of-sample validation of the model. We simulate the effects of changing the subsidy-use constraints implemented in the actual experiment. We find that restricting subsidies to even lower poverty neighborhoods would substantially reduce take-up and actually increase average exposure to poverty. Furthermore, adding restrictions based on neighborhood racial composition would not change average exposure to either race or poverty. (JEL I32, I38, R23, R38)

Recent advances in the field of behavioral economics offer intriguing insights into the ways that consumer decisions are influenced and may be influenced more deliberately to better meet community-wide and democratic goals. We demonstrate that these insights open a door to urban planners who may thereby develop strategies to alter urban-scale consumption behaviors that may significantly reduce greenhouse gas (GHG) emissions per capita. We first hypothesize that it is possible, through feasible changes in neighborhood structure, to alter the "choice architecture" of neighborhoods in order to achieve meaningful GHG reductions. We then formulate a number of elements of "choice architecture" that may be applied as tools at the neighborhood scale. We examine several neighborhoods that demonstrate variations in these elements, and from known inventories, we generate a preliminary assessment of the possible magnitude of GHG reductions that may be available. Although we acknowledge many remaining challenges, we conclude that "neighborhood choice architecture" offers a promising new strategy meriting further research and development.

Recent advances in the field of behavioral economics offer intriguing insights into the ways that consumer decisions are influenced and may be influenced more deliberately to better meet community-wide and democratic goals. We demonstrate that these insights open a door to urban planners who may thereby develop strategies to alter urban-scale consumption behaviors that may significantly reduce greenhouse gas (GHG) emissions per capita. We first hypothesize that it is possible, through feasible changes in neighborhood structure, to alter the "choice architecture" of neighborhoods in order to achieve meaningful GHG reductions. We then formulate a number of elements of "choice architecture" that may be applied as tools at the neighborhood scale. We examine several neighborhoods that demonstrate variations in these elements, and from known inventories, we generate a preliminary assessment of the possible magnitude of GHG reductions that may be available. Although we acknowledge many remaining challenges, we conclude that "neighborhood choice architecture" offers a promising new strategy meriting further research and development.

Low-income families often live in low-upward-mobility neighborhoods. We study why by using a randomized trial with housing voucher recipients that provided information, financial support, and customized search assistance to move to high-opportunity neighborhoods. The treatment increased the fraction moving to high-upward-mobility areas from 15 to 53 percent. A second trial reveals this treatment effect is driven primarily by customized search assistance. Qualitative interviews show that the intervention relaxed bandwidth constraints and addressed family-specific needs. Our findings imply many low-income families do not have strong preferences to stay in low-opportunity areas and that barriers in housing search significantly increase residential segregation by income. (JEL D83, G51, R21, R23, R31, R38)