Experiencing discrimination in Los Angeles: Latinos at the intersection of legal status and socioeconomic status

Despite its recent slowdown, immigration from Latin America continues to be a controversial issue. Some scholars argue that the social climate is increasingly inhospitable to Latinos, potentially fueling discriminatory attitudes and behaviors. However, little research has examined Latinos' experiences with discrimination, especially variation by nativity and legal status. We address this issue with research on perceived discrimination among Mexican and Central American residents of Los Angeles County, a major destination for Latin American immigrants. Using data from the Los Angeles Family and Neighborhood Survey and the American Community Survey, the analyses consider immigrants’ legal status, intersectionality, and competing perspectives on assimilation. The results show that undocumented immigrants do not report especially high levels of discrimination. Instead, young U.S.-born Latinos are the most likely to report mistreatment in interpersonal and institutional domains. Neighborhood ethnoracial and income diversity also have implications for perceived exposure to different types of discrimination.     

Hurdles or walls? Nativity,citizenship, legal status and Latino homeownership in Los Angeles

Homeownership is directly and indirectly linked with many positive child, adult, and community-level outcomes. Prior research offers strong evidence that nativity and immigrants’ citizenship status shapes U.S. homeownership, but relatively little work has explored how immigrants’ legal status is connected with homeownership. This study draws from locational attainment and classic assimilation theories to develop hypotheses about sources of intra-Latino heterogeneity in homeownership. Los Angeles Family and Neighborhood Survey data are used to contrast four distinct groups of Latinos: U.S. born natives, naturalized citizens, authorized non-citizens, and unauthorized non-citizens. Logistic regression results indicate baseline and residual variation in Latino homeownership based on immigrant citizenship and legal status. Of these, unauthorized non-citizens are the least likely to own their home. The results provide support for all three theoretical models, particularly the place stratification perspective. The results also point to the need for more housing studies that jointly examine citizenship and legal status.     

A Systemic Approach to Racial Residential Patterns

This paper applied the model of Linear System of Action developed by Coleman (1992) to understand racial composition in neighborhoods from a systemic approach. The model had an advantage to consider how an individual household simultaneously maximizes all desirable neighborhood qualities with limited socioeconomic resources. The model generated relative values of socioeconomic resources and neighborhood qualities of each racial group in the exchange process. In addition, the model estimated a preference hierarchy of neighborhood qualities of each group. Results suggested that blacks and Asians in Canada tend to live in neighborhoods with higher proportions of their own groups because blacks may be steered away from predominantly white neighborhoods and Asians experience low returns on their socioeconomic resources in improving spatial contact with whites.     

Housing and neighborhood quality among undocumented Mexican and Central American immigrants

Extensive research has documented the challenges that undocumented immigrants face in navigating U.S. labor markets, but relatively little has explored the impact of legal status on residential outcomes despite their widespread repercussions for social well-being. Using data from the 1996–2008 panels of the Survey of Income and Program Participation to impute documentation status among Mexican and Central American immigrants, we examine group differences in residential outcomes, including homeownership, housing crowding, satisfaction with neighborhood and housing quality, problems with neighborhood crime/safety, governmental services, and environmental issues, and deficiencies with housing units. Results from our analysis indicate that undocumented householders are far less likely to be homeowners than documented migrants, and also live in more crowded homes, report greater structural deficiencies with their dwellings, and express greater concern about the quality of public services and environmental conditions in their neighborhoods. In comparison to native whites, undocumented migrants’ residential circumstances are lacking, but their residential outcomes tend to be superior to those of native-born blacks. Overall, our results highlight the pervasive impact of legal status on stratifying Mexicans’ and Central Americans’ prospects for successful incorporation, but also underscore the rigidity of the black/nonblack divide structuring American residential contexts.     

Segregation by race and income in the United States 1970–2010

A systematic analysis of residential segregation and spatial interaction by income reveals that as income rises, minority access to integrated neighborhoods, higher levels of interaction with whites, and more affluent neighbors also increase. However, the income payoffs are much lower for African Americans than other groups, especially Asians. Although Hispanics and Asians have always displayed declining levels of minority-white dissimilarity and rising levels of minority-white interaction with rising income, income differentials on these outcomes for blacks did not appear until 1990 and since then have improved at a very slow pace. Given their higher overall levels of segregation and income's limited effect on residential attainment, African Americans experience less integration, more neighborhood poverty at all levels of income compared to other minority groups. The degree of black spatial disadvantage is especially acute in the nation's 21 hypersegregated metropolitan areas.     

Early cognitive skills of Mexican-origin children: The roles of parental nativity and legal status

Although one-third of children of immigrants have undocumented parents, little is known about their early development. Using data from the Los Angeles Family and Neighborhood Survey and decennial census, we assessed how children's cognitive skills at ages 3 to 5 vary by ethnicity, maternal nativity, and maternal legal status. Specifically, Mexican children of undocumented mothers were contrasted with Mexican children of documented mothers and Mexican, white, and black children with U.S.-born mothers. Mexican children of undocumented mothers had lower emergent reading skills than all other groups and lower emergent mathematics skills than all groups with U.S.-born mothers. Multilevel regression models showed that differences in reading skills are explained by aspects of the home environment, but the neighborhood context also matters. Cross-level interactions suggest that immigrant concentration boosts emergent reading and mathematics skills for children with undocumented parents, but does not similarly benefit children whose parents are native born.     

The design of a multilevel survey of children, families, and communities: The Los Angeles Family and Neighborhood Survey

In this paper, we describe the development and implementation of the multilevel sample design for the Los Angeles Family and Neighborhood Survey, a study of children, adults, families, and neighborhoods in Los Angeles County. This survey was designed to support multilevel analyses on a number of topics, including child development, residential mobility, and welfare reform. We describe the design of the baseline wave, highlighting the analytical and statistical issues that shaped the study. We also present the results of an in-depth statistical investigation of the survey’s ability to support multilevel analyses that was carried out as part of the study design. The results of this study provide important guideposts for future studies of neighborhoods and their effects on adults and children.     

Assessing the benefits of a rising tide: Educational attainment and increases in neighborhood socioeconomic advantage

An emerging approach to studying associations between neighborhood contexts and educational outcomes is to estimate the outcomes of adolescents growing up in neighborhoods that are experiencing economic growth in comparison to peers that reside in economically stable or declining communities. Using data from the National Longitudinal Study of Adolescent Health (Add Health), I examine the association between education attainment and changes in socioeconomic advantage in urban neighborhoods between 1990 and 2000. I find that residing in a neighborhood that experiences economic improvements has a positive association with educational attainment for urban adolescents. Furthermore, race-based analyses suggest consistently positive associations for all race subgroups, lending support to protective models of neighborhood effects that argue high neighborhood SES supports positive outcomes for adolescents residing in these contexts.     

American Indian intermarriage

An analysis of intermarriage patterns with data from the Public Use Microdata Sample of the 1980 Census shows that there is considerably more intermarriage between Indians and whites than between blacks and whites. Indians who live in traditional Indian areas are more likely to be endogamous than those who live in areas where Indians have not traditionally lived, though Indians in traditional Indian areas are also more likely to be married to whites than are Indians in nontraditional Indian areas (after adjustments are made to take into account the number of men and women in the different racial groups). The results also indicate that endogamous American Indians are poorer and less educated than any other type of couple, including endogamous black Americans.     

Is immigrant neighborhood inequality less pronounced in suburban areas?

We investigate suburbanization and neighborhood inequality among 14 immigrant groups using census tract data from the 2008–2012 American Community Survey. Immigrant neighborhood inequality is defined here as the degree to which immigrants reside in neighborhoods that are poorer than the neighborhoods in which native whites reside. Using city and suburb Gini coefficients which reflect the distributions of groups across neighborhoods with varying poverty rates, we find that the immigrant-white gap is attenuated in the suburbs. This finding applies to most of the nativity groups and remains after accounting for metropolitan context, the segregation of poverty, and group-specific segregation levels, poverty rates, and acculturation characteristics. Despite reduced neighborhood inequality in the suburbs, large group differences persist. A few immigrant groups achieve residential parity or better vis-à-vis suburban whites while others experience high levels of neighborhood inequality and receive marginal residential returns on suburban location.     

Immigrant and native financial well-being: The roles of place of education and race/ethnicity

Immigrants’ integration into U.S. society has occupied the interest of both scholars and the general public throughout the nation’s history. This paper draws on and refines dominance-differentiation theory to explore how immigrants’ place of education (whether they completed their education in the United States or abroad) and racial/ethnic status differentially affect their ability to integrate into U.S. society. Using the Survey of Income and Program Participation and wealth attainment as an indicator of economic integration, this paper finds mixed evidence for dominance-differentiation theory. Foreign education is associated with lower wealth attainment and race/ethnicity serves as an important stratifying factor for blacks and Latinos; however, there is little support for the theory when comparing the wealth attainment of immigrants with their same-race/co-ethnic native-born peers. This paper concludes with a discussion of why place of education matters for wealth attainment in the United States and explores its implications for both educational and racial/ethnic stratification among U.S. immigrants.     

Residential segregation in metropolitan established immigrant gateways and new destinations, 1990-2000

In the 1990s, many immigrants bypassed established gateways like Los Angeles, New York, Chicago, and Miami to create new immigrant destinations across the US. In this paper, we examine how segregation and spatial assimilation might differ between established gateways and new destinations among the 150 largest metropolitan areas. Using data from the 1990 and 2000 censuses, we calculate levels of dissimilarity for Hispanics and Asians by nativity for these two gateway types. Our findings show that segregation levels are consistently lower in new destinations. However, Hispanics in new destinations experienced significant increases segregation during the 1990s, suggesting a convergence in residential patterns by destination type. Nevertheless, in both destinations the native-born are less segregated than the foreign born—consistent with immigrant spatial incorporation. Finally, socioeconomic indicators are generally consistent with predictions of spatial assimilation.     

Are there neighborhood effects on young adult neighborhood attainment? Evidence from mixed-logit models

Studies of racial residential attainment show an intergenerational transmission of racial contexts from youth to adulthood, but it is unclear why this transmission is so robust. It is possible that experiences in racial contexts during youth have lasting effects on neighborhood selection in adulthood, but evidence for this claim has come from research using statistical methods that suffer from problems of ecological dependence and conflation of other neighborhood characteristics. In this study, we address these limitations using mixed-logit models, a form of discrete choice analyses, allowing us to control for differences across metropolitan areas and for multiple characteristics of neighborhoods that may affect the selection of destination neighborhoods. Data for the analyses come from the National Educational Longitudinal Study, the 1990 and 2000 Censuses, and other sources. We find that most of the intergenerational process results from young adults moving to neighborhoods short distances from their origin ones, but the models also suggest a contextual effect of youth experiences in racial compositions on neighborhood selection. The latter finding indicates that policies promoting integration among youth can have long-lasting effects on residential attainment.     

Undocumented migration and the residential segregation of Mexicans in new destinations

This study uses data from the 2000 Census and 2005–2009 American Community Survey to examine the impact of undocumented Mexican migration to new destinations on residential segregation between Mexican immigrants and native-born whites and native-born blacks. We find that Mexican-white and Mexican-black segregation is higher in new Mexican gateways than in established areas and that, for Mexican-immigrant segregation from whites, this heightened level of residential segregation in new destinations can be explained by the high presence of unauthorized Mexican immigrants living there which tends to bolster segregation between the two groups. By contrast, Mexican-immigrant segregation from native-born blacks tends to be lower in areas with larger undocumented populations, a pattern that is especially true in new destinations. Neither of these opposing effects of legal status on Mexican-immigrant segregation can be explained by compositional differences in assimilation (English ability and earnings) between documented and undocumented immigrants nor by structural variation in metropolitan areas, suggesting a unique association between legal status and segregation.     

Growing pains or appreciable gains? Latent classes of neighborhood change,and consequences for crime in Southern California neighborhoods

This study explored the dynamic nature of neighborhoods using a relatively novel approach and data source. By using a nonparametric holistic approach of neighborhood change based on latent class analysis (LCA), we have explored how changes in the socio-demographic characteristics of residents, as well as home improvement and refinance activity by residents, are related to changes in neighborhood crime over a decade. Utilizing annual home mortgage loan data in the city of Los Angeles from the years 2000–2010, we 1) conducted principle components factor analyses using measures of residential in-migration and home investment activities; 2) estimated LCA models to identify classes of neighborhoods that shared common patterns of change over the decade; 3) described these 11 classes; 4) estimated change-score regression models to assess the relationship of these classes with changing crime rates. The analyses detected six broad types of neighborhood change: 1) stability; 2) urban investors; 3) higher-income home buyers; 4) in-mover oscillating; 5) oscillating refinance; 6) mixed-trait. The study describes the characteristics of each of these classes, and how they are related to changes in crime rates over the decade.     

Studying neighborhood crime across different macro spatial scales: The case of robbery in 4 cities

Whereas there is a burgeoning literature focusing on the spatial distribution of crime events across neighborhoods or micro-geographic units in a specific city, the present study expands this line of research by selecting four cities that vary across two macro-spatial dimensions: population in the micro-environment, and population in the broader macro-environment. We assess the relationship between measures constructed at different spatial scales and robbery rates in blocks in four cities: 1) San Francisco (high in micro- and macro-environment population); 2) Honolulu (high in micro- but low in macro-environment population); 3) Los Angeles (low in micro- but high in macro-environment population); 4) Sacramento (low in micro- and macro-environment population). Whereas the socio-demographic characteristics of residents further than ½ mile away do not impact robbery rates, the number of people up to 2.5 miles away are related to robbery rates, especially in the two cities with smaller micro-environment population, implying a larger spatial scale than is often considered. The results show that coefficient estimates differ somewhat more between cities differing in micro-environment population compared to those differing based on macro-environment population. It is therefore necessary to consider the broader macro-environment even when focusing on the level of crime across neighborhoods or micro-geographic units within an area.     

广州与美国洛杉矶城市化比较

本文从比较的角度探讨了广州与美国洛杉矶在城市化过程中的共性与差异。作者认为,在城市化过程中,由于广州与洛杉矶都具有良好的地理条件和发展机遇,因而两者都曾有过城市化高速发展的时期。同时,由于两者受工业化、交通运输、城市化道路制约,因而两者又存在着在发展速度与城市化水平上的差异。     

Black people don't exercise in my neighborhood: Perceived racial composition and leisure-time physical activity among middle class blacks and whites

Using a sample of middle class blacks and whites living in urban and suburban areas, this article focuses on how perceptions of the racial composition of neighborhoods influence leisure-time physical activity. Using an ordinal representation of an underlying continuous indication of the perceived percentage of blacks and whites within an egocentric neighborhood, the results show that black men are significantly less likely to be physically active in neighborhoods perceived as predominately white. Alternatively, they are more likely to be physically active in neighborhoods perceived as racially diverse and predominately black. Conversely, for black women, white women, and white men, physical activity increases as the perception of one's neighborhood becomes increasingly white. Black women are significantly less likely to engage in physical activity in neighborhoods perceived as predominately black and urban. Drawing upon the intersectionality framework, I discuss how perceptions of criminalization and safety lead to different levels of leisure-time physical activity for middle class black women and men relative to their white middle class counterparts.     

New evidence on racial and ethnic disparities in homeownership in the United States from 2001 to 2010

Using 2001–2010 homeownership data for the United States we analyze changes in racial and ethnic disparities between whites and blacks, Asians, Mexicans, Cubans, Puerto Ricans and other Hispanics. We employ Integrated Public Use Microdata (IPUMS) combined with local credit scores and house price to income ratios. Controlling for demographic, income, wealth, employment, and housing characteristics, we find no significant differences between whites and Asians, Mexicans, or Cubans. Conversely, blacks and Puerto Ricans remain substantially disadvantaged. We conduct further analysis for the 2001–2003, 2004–2007, and 2008–2010 periods of the housing boom and collapse. Blacks and Puerto Ricans experienced decreased disparities during the peak years of the boom. Puerto Rican parity with whites continued to improve during the crash while gains among blacks eroded. The results suggest the homeownership differences between whites, Asians, Mexicans, and Cubans are apparently explained by socioeconomic status while racial disparities among blacks and Puerto Ricans evolved but continue to persist.