House Price Impacts of Racial, Income, Education, and Age Neighborhood Segregation

Brasington, David M.; Hite, Diane; Jauregui, Andres

doi:10.1111/jors.12173

Cited by 19 publications

(8 citation statements)

References 43 publications

(54 reference statements)

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“…Some studies contend that immigrants assimilate and are more likely to resemble native borns over time as they accumulate U.S. experience (Osili and Xie , Coulson ). However, other studies show that immigrants hold on to their original culture, and this is independent of longevity in the United States, suggesting that housing segregation among racial groups is common in America's cities and communities (Galster and Zobel , Johnson and Lichter , Tienda and Fuentes , Bayer, Fang and McMillan , Brasington, Hite and Jauregui ). In this section, we test whether Asian and Hispanic/Latino immigrants’ residential preferences are impacted by U.S. experience as measured by longevity in the United States.…”

Section: Resultsmentioning

confidence: 99%

Housing Preferences of Asian and Hispanic/Latino Immigrants in the United States: A Melting Pot or Salad Bowl

Sah

Tidwell

2016

Real Estate Economics

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Several factors affecting household formations of first-and second-generation Asian and Hispanic/Latino immigrants are identified, including contextual social interaction effects. Using household data from the American Housing Survey and Public Use Micro-data Sample, we find that first-generation Asian and Hispanic/Latino immigrants are more likely to live in coresidence households; and this is influenced by immigrant gender, age, education, income, employment and density. Education and income are inversely related to coresiding, while higher immigrant density increases the propensity to coreside. Contextual effects reveal that neighborhoods with a relatively large Caucasian average household size increase coresidence behavior among immigrants; and the income of Caucasians living in the area is inversely related to immigrant coresiding behavior. Second-generation Asian immigrants are more likely to live independently, while second-generation Hispanic/Latino immigrants have a higher propensity to coreside; however, they are influenced contextually by geographic household and income patterns. We further specify findings by considering local housing price, the fusion of immigrants in the United States, agglomeration of immigrants in central city and a comparison between immigrants in United States and similarly aged natives in China. Our results are robust to potential sample-selection bias and social interaction boundary selection bias.

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Section: Resultsmentioning

confidence: 99%

Housing Preferences of Asian and Hispanic/Latino Immigrants in the United States: A Melting Pot or Salad Bowl

Sah

Tidwell

2016

Real Estate Economics

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“…Since residential choices are limited by the available to the household resources, then they to some degree associate with housing prices. Brasington, Hite, & Jauregui (2015) and Musterd et al (2015) find evidence that low and high income households concentrate in different parts of the city. The inflow of migrants of different social status, ethnic origin and various income levels reinforces the preset differentiation of neighborhoods and districts as a result of the first residential choices (Bolt & Van Kempen, 2010).…”

Section: Introductionmentioning

confidence: 99%

Spatial variation of in-migration to Moscow: Testing the effect of housing market

Kashnitsky

Gunko

2016

Cities

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The collapse of state socialism and the introduction of market relationships in Central and Eastern Europe resulted in profound changes of urban development. Evidence from Central and Eastern Europe indicates that the development of a strong housing market and growing material inequalities contribute to the socio-economic polarization of city districts and residential segregation. Based on empirical data, we analyze spatial variation of migrants' first residential choices within Moscow, i.e. intensity of in-migration to a specific district. We test the theory-driven hypotheses about the association between residential choices and housing prices. Our results show that there are some areas that attract migrants of specific socio-economic status. However, housing prices do not explain a substantial share of variance in the intensities of in-migration, at least at the level of city districts; quite a strong association is only evident for foreign migrants. Thus, we find limited evidence of the Moscow' socio-spatial structure polarization due to the residential choices of migrants.

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“…Many scholars have pointed out that the nature of the home neighborhood has profound implications for the well-being of individuals (Brasington et al, 2015; Mouratidis, 2020). As a result, a commonly used method to compensate for the lack of economic information is using housing prices to reflect the SES of residents.…”

Section: Introductionmentioning

confidence: 99%

How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city

Yao

Ren

et al. 2022

Environment and Planning B: Urban Analytics and City Science

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Social segregation hinders the development of cities and has become a hot topic in urban research. Existing studies have focused on the difference in the distribution of crowd activities to measure segregation but have ignored the impact of the urban environment on crowd gathering and segregation. To study the impact and understand social segregation more comprehensively, we coupled mobile phone datasets and housing price data to divide city dwellers into three socioeconomic levels. Considering that spatial colocation is a necessary condition for interaction among various social groups, spatial colocation probability was proposed to quantitatively describe the degree of social segregation at the community scale. Point-of-interest (POI) data were introduced to represent the urban service facilities. The effect of urban service facilities on the segregation of different groups was analyzed by using geographically weighted regression (GWR). The results indicate three points, as follows. (1) Significant social segregation in Shenzhen mostly occurs in suburban and downtown areas, and the interaction segregation of people mainly occurs between people with high and low socioeconomic levels. (2) More economically inclusive and necessary service facilities (e.g., medical and insurance companies) can promote crowd interaction and ease the segregation of social activities. (3) The impact of service facilities on the interaction of various social groups is related to the development of the area where the activities occur, and the most significant impact is in high-tech industrial zones. This study quantitatively calculated the impacts of different service facilities on different groups of people in different communities and times. From the results, detailed and reasonable suggestions were made for city planners.

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House Price Impacts of Racial, Income, Education, and Age Neighborhood Segregation

Cited by 19 publications

References 43 publications

Housing Preferences of Asian and Hispanic/Latino Immigrants in the United States: A Melting Pot or Salad Bowl

Housing Preferences of Asian and Hispanic/Latino Immigrants in the United States: A Melting Pot or Salad Bowl

Spatial variation of in-migration to Moscow: Testing the effect of housing market

How do urban services facilities affect social segregation among people of different economic levels? A case study of Shenzhen city

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