Race, Ethnicity, and Immigration

  • C. Matthew Snipp
  • Tomas Jimenez
  • Linda Burton
  • Hazel Markus
  • Douglas Massey
  • Marybeth Mattingly

Leaders: Linda Burton, Tomás Jiménez, Hazel Markus, Douglas Massey, Marybeth Mattingly, C. Matthew Snipp

The CPI has an extensive research program on race, ethnicity, immigration, and poverty. The National Poverty Study, for example, is designed to rigorously compare differences across rural black, deindustrialized, reservation, and other “racialized” poverty forms. The CPI also runs a comprehensive program on Hispanic poverty that explores such topics as the “chilling effect” of anti-immigrant laws on program use, the reasons why, contrary to much speculation, the Hispanic poverty rate has not taken off, and the causes of the so-called Hispanic Health Paradox (see, for example, our Pathways Magazine special report on poverty, inequality, and mobility among Hispanics). And one of the CPI’s most distinguished affiliates, Jennifer Eberhardt (who is on the CPI directorate), is carrying out a groundbreaking big-data analysis of policing and race. We list below a sampling of other CPI projects on race, ethnicity, immigration, and poverty.

Poverty among refugees: The U.S. refugee population faces very high rates of poverty, yet we know very little about the effects of different resettlement programs and approaches. There are efforts afoot to exploit available administrative data and begin to find out what works and what doesn’t.

Arrests, race, and poverty: Why are some arrests resolved informally while others are converted into a criminal record that then has a life-long scarring effect? The process of converting an arrest into a criminal booking may play an important role in generating downstream racial disparities.

Reducing the race gap in test scores: The new Stanford Education Data Archive (SEDA) is a rich resource that is providing the most systematic evidence to date on the capacity of school-district policies to reduce the racial gap in test scores.

Poverty and schooling on reservations: Why are test scores and educational outcomes on Native reservations so low (relative to the national average)? In a new project by the noted ethnographer Martin Sánchez-Jankowski, we’ll be learning more about how traditional and formal education are viewed and the ways in which they might be better integrated. 

Race And Ethnicity - CPI Research

Title Author Media
State of the Union 2017: Incarceration Becky Pettit, Bryan Sykes

State of the Union 2017: Incarceration

Author: Becky Pettit, Bryan Sykes
Publisher: Stanford Center on Poverty and Inequality
Date: 06/2017

Despite observed declines in crime and much talk of criminal justice reform, the United States continues to incarcerate a much larger fraction of its population than any other advanced industrialized country. The burden of this intensive incarceration continues to fall disproportionately on black men: At the end of 2015, a full 9.1 percent of young black men (ages 20–34) were incarcerated, a rate that is 5.7 times that of young white men (1.6%). Fully 10 percent of black children had an incarcerated parent in 2015, compared with 3.6 percent of Hispanic children and 1.7 percent of white children.

State of the Union 2017: Education Sean F. Reardon, Erin M. Fahle

State of the Union 2017: Education

Author: Sean F. Reardon, Erin M. Fahle
Publisher: Stanford Center on Poverty and Inequality
Date: 06/2017

Between 1990 and 2015, average academic performance improved for students of all racial and ethnic groups, but grew fastest among black and Hispanic students. As a result, white-black and white-Hispanic achievement gaps have declined by 15 to 25 percent. But achievement gaps remain large: Hispanic students lag almost two grade levels, and black students lag roughly two to two-and-a-half grade levels behind whites. Two nonschooling factors—persistent racial and ethnic disparities in family resources and segregation patterns— are fundamental determinants of unequal educational opportunity for minority students. 

State of the Union 2017: Housing Matthew Desmond

State of the Union 2017: Housing

Author: Matthew Desmond
Publisher: Stanford Center on Poverty and Inequality
Date: 06/2017
Racial and ethnic gaps in homeownership, housing wealth, and tax expenditures on housing are still very wide. Whereas 71 percent of white families live in owner-occupied housing, only 41 percent of black families and 45 percent of Hispanic families do. Many nonwhite families were excluded from social programs that facilitated dramatic growth in homeownership in the mid-20th century. The ownership gap is related to an affordability gap. Black and Hispanic families are approximately twice as likely as white families to experience “extreme housing costs,” defined as spending at least 50 percent of income on housing. 

 

State of the Union 2017: Safety Net Mark Duggan, Valerie Scimeca

State of the Union 2017: Safety Net

Author: Mark Duggan, Valerie Scimeca
Publisher: Stanford Center on Poverty and Inequality
Date: 06/2017

Given that poverty rates are signicantly higher among blacks, Hispanics, and American Indians than in the general population, it is not surprising that their enrollment in federal safety net programs, such as Medicaid and food stamps, is also higher. However, poor blacks and American Indians are significantly less likely than other racial and ethnic groups to enroll in Medicaid, which is the largest federal safety net program. No similar gap exists for enrollment in the food stamp or Supplemental Security Income programs.

State of the Union 2017: Poverty Linda M. Burton, Marybeth Mattingly, Juan Pedroza, Whitney Welsh

State of the Union 2017: Poverty

Author: Linda M. Burton, Marybeth Mattingly, Juan Pedroza, Whitney Welsh
Publisher: Stanford Center on Poverty and Inequality
Date: 06/2017

Though some gaps have narrowed, there remain substantial racial-ethnic differences in poverty, with blacks and Native Americans continuing to experience the highest poverty rates, Hispanics following with slightly lower rates, and whites and Asians experiencing the lowest poverty rates. The sizes of these racial-ethnic gaps often differ substantially by region, with black women in the rural South, for example, facing poverty rates as high as 37 percent.

race and ethnicity - CPI Affiliates

Aliya Saperstein's picture Aliya Saperstein Assistant Professor of Sociology
Stanford University
Mary C. Waters's picture Mary C. Waters John L. Loeb Professor of Sociology
Harvard University
Michael Rosenfeld's picture Michael Rosenfeld Professor of Sociology
Stanford University
Patrick Sharkey's picture Patrick Sharkey Associate Professor of Sociology; Associate Professor of Public Service, NYU Wagner
New York University
Van C. Tran's picture Van C. Tran Assistant Professor of Sociology
Columbia University

Pages

Race And Ethnicity - Other Research

Title Author Media
Making the Most of Multiple Measures: Disentangling the Effects of Different Dimensions of Race in Survey Research Aliya Saperstein, Jessica M. Kizer, Andrew M. Penner

Making the Most of Multiple Measures: Disentangling the Effects of Different Dimensions of Race in Survey Research

Author: Aliya Saperstein, Jessica M. Kizer, Andrew M. Penner
Publisher: American Behavioral Scientist
Date: 04/2016

The majority of social science research uses a single measure of race when investigating racial inequality. However, a growing body of work demonstrates that race shapes the life chances of individuals in multiple ways, related not only to how people self-identify but also to how others perceive them. As multiple measures of race are increasingly collected and used in survey research, it becomes important to consider the best methods of leveraging such data. We present four analytical approaches for incorporating two different dimensions of race in the same study and illustrate their use with data from the U.S. National Longitudinal Study of Adolescent to Adult Health. The approaches range from tests of specific hypotheses to the most exploratory description of how different measures of race relate to social inequality. Although each approach has its strengths and weaknesses, by accounting for the multidimensionality of race, they all allow for more nuanced patterns of advantage and disadvantage than standard single-measure methods.

The Neighborhood Context of Latino Threat Matthew Hall, Maria Krysan

The Neighborhood Context of Latino Threat

Author: Matthew Hall, Maria Krysan
Publisher: Sociology of Race and Ethnicity
Date: 04/2016

In recent years, the size of the Latino immigrant population has swelled in communities throughout the United States. For decades, social scientists have studied how social context, particularly a minority group’s relative size, affects the sentiments of the dominant group. Using a random sample survey of five communities in suburban Chicago, the authors examine the impact of Latino population concentration on native-born white residents’ subjective perceptions of threat from Latino immigrants at two micro-level geographies: the immediate block and the surrounding blocks. After controlling for Latino population size in surrounding blocks, percentage Latino in the immediate block does not influence perceptions of threat from Latino immigrants. The effect of surrounding blocks’ population size is consistent with group threat theories for white residents: the larger the Latino population, the greater the perceived threat.

Network Effects in Mexico–U.S. Migration Disentangling the Underlying Social Mechanisms Filiz Garip, Asad L. Asad

Network Effects in Mexico–U.S. Migration Disentangling the Underlying Social Mechanisms

Author: Filiz Garip, Asad L. Asad
Publisher: American Behavioral Scientist
Date: 04/2016

Scholars have long noted how migration streams, once initiated, obtain a self-feeding character. Studies have connected this phenomenon, called the cumulative causation of migration, to expanding social networks that link migrants in destination to individuals in origin. While extant research has established a positive association between individuals’ ties to prior migrants and their migration propensities, seldom have researchers interrogated how multiple social mechanisms—as well as exposure to common environmental factors—might account for these interdependencies. This article uses a mixed-methods strategy to identify the social mechanisms underlying the network effects in Mexico–U.S. migration. Three types of social mechanisms are identified, which all lead to network effects: (a) social facilitation, which is at work when network peers such as family or community members provide useful information or help that reduces the costs or increases the benefits of migration; (b) normative influence, which operates when network peers offer social rewards or impose sanctions to encourage or discourage migration; and (c) network externalities, which are at work when prior migrants generate a pool of common resources that increase the value or reduce the costs of migration for potential migrants. The authors first use large-sample survey data from the Mexican Migration Project to establish the presence of network effects and then rely on 138 in-depth interviews with migrants and their family members in Mexico to identify the social mechanisms underlying these network effects. The authors thus provide a deeper understanding of migration as a social process, which they argue is crucial for anticipating and responding to future flows.

Structural versus Ethnic Dimensions of Housing Segregation Richard H. Sander , Yana Kucheva

Structural versus Ethnic Dimensions of Housing Segregation

Author: Richard H. Sander , Yana Kucheva
Publisher: US Census Bureau Center for Economic Studies (Working Paper No. CES-WP-16-22)
Date: 03/2016

Racial residential segregation is still very high in many American cities. Some portion of segregation is attributable to socioeconomic differences across racial lines; some portion is caused by purely racial factors, such as preferences about the racial composition of one’s neighborhood or discrimination in the housing market. Social scientists have had great difficulty disaggregating segregation into a portion that can be explained by interracial differences in socioeconomic characteristics (what we call structural factors) versus a portion attributable to racial and ethnic factors. What would such a measure look like? In this paper, we draw on a new source of data to develop an innovative structural segregation measure that shows the amount of segregation that would remain if we could assign households to housing units based only on non-racial socioeconomic characteristics. This inquiry provides vital building blocks for the broader enterprise of understanding and remedying housing segregation.

Factors Associated With Ocular Health Care Utilization Among Hispanics/Latinos Laura A. McClure, D. Diane Zheng, Byron L. Lam, Stacey L. Tannenbaum, Charlotte E. Joslin, Sonia Davis, Daniel López-Cevallos, Marston E. Youngblood Jr, Zhu-Ming Zhang, Claudia Pulido Chambers

Factors Associated With Ocular Health Care Utilization Among Hispanics/Latinos

Author: Laura A. McClure, D. Diane Zheng, Byron L. Lam, Stacey L. Tannenbaum, Charlotte E. Joslin, Sonia Davis, Daniel López-Cevallos, Marston E. Youngblood Jr, Zhu-Ming Zhang, Claudia Pulido Chambers
Publisher: JAMA Opthalmology
Date: 03/2016

Our findings suggest that increasing insurance coverage, decreasing the costs of care, and increasing the availability of care for Hispanics/Latinos with poor self-rated eyesight are relevant issues to address to improve ocular health care use among Hispanics/Latinos of diverse backgrounds.