For undocumented immigrants, socioeconomic mobility cannot overcome racial and legal barriers to full social acceptance

Recent research has shown that despite the concerns of those who are uncomfortable with immigration, immigrants are assimilating into the US, gradually becoming more socioeconomically similar. But does immigrants’ socioeconomic mobility mean that they are more accepted by their host society? In new research, which surveyed more than 1,350 native-born, non-Hispanic White Americans, Ariela Schachter finds that compared to US-born and naturalized citizens, and legal immigrants, Americans are far less likely to wish to have undocumented immigrants as neighbors. In addition, non-Whites were seen as being far less similar, even when they were US-born, spoke fluent English, had white-collar jobs, volunteered regularly, or were married to White spouses

Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?

Housing scholars stress the importance of the information environment in shaping housing search behavior and outcomes. Rental listings have increasingly moved online over the past two decades and, in turn, online platforms like Craigslist are now central to the search process. Do these technology platforms serve as information equalizers or do they reflect traditional information inequalities that correlate with neighborhood sociodemographics? We synthesize and extend analyses of millions of US Craigslist rental listings and find they supply significantly different volumes, quality, and types of information in different communities. Technology platforms have the potential to broaden, diversify, and equalize housing search information, but they rely on landlord behavior and, in turn, likely will not reach this potential without a significant redesign or policy intervention. Smart cities advocates hoping to build better cities through technology must critically interrogate technology platforms and big data for systematic biases

Acculturation and Self-Rated Health among Latino and Asian Immigrants to the United States

The ways in which immigrant health profiles change with shifts in acculturation is of increasing interest to scholars and policy makers in the United States, but little is known about the mechanisms that may link acculturation and self-rated health, particularly for Asians. Utilizing the National Latino and Asian American Study (NLAAS) and its data on foreign-born Latinos (N = 1,199) and Asians( N = 1,323) (Pennelletal.2004), we investigate and compare the associations between acculturation and self-rated health for immigrants to the United States from six major ethnic subgroups (Chinese, Filipino, Vietnamese, Mexican, Cuban, and Puerto Rican). Using comprehensive measures of acculturation, we demonstrate that across ethnic groups, and despite the widely varying contexts of the sending countries and receiving communities, native-language dominance is associated with worse self-rated health relative to bilingualism, and measures of lower acculturation--coethnic ties and remittances—are associated with better self-rated health; and moreover, these associations are only partially mediated by socioeconomic status, and not mediated by acculturative stress, discrimination, social support, or health behaviors. We speculate that immigrants who maintain a native language while also acquiring English, as has been shown for other immigrant outcomes, attain a bicultural fluency, which also enables good health. Surprisingly, we do not find strong associations between duration of time in the United States or age at migrationﾗ measures frequently used to proxy acculturationﾗwith self-rated health. Our findings illustrate the complexity of measuring acculturation and its influence on health for immigrants

The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report.

In an era of mass migration, social scientists, populist parties and social movements raise concerns over the future of immigration-destination societies. What impacts does this have on policy and social solidarity? Comparative cross-national research, relying mostly on secondary data, has findings in different directions. There is a threat of selective model reporting and lack of replicability. The heterogeneity of countries obscures attempts to clearly define data-generating models. P-hacking and HARKing lurk among standard research practices in this area.This project employs crowdsourcing to address these issues. It draws on replication, deliberation, meta-analysis and harnessing the power of many minds at once. The Crowdsourced Replication Initiative carries two main goals, (a) to better investigate the linkage between immigration and social policy preferences across countries, and (b) to develop crowdsourcing as a social science method. The Executive Report provides short reviews of the area of social policy preferences and immigration, and the methods and impetus behind crowdsourcing plus a description of the entire project. Three main areas of findings will appear in three papers, that are registered as PAPs or in process

Replication Data for: Does Shared Social Disadvantage Cause Black-Latino Political Commonality?

Shared social disadvantage relative to Whites is assumed to motivate inter-minority political behavior, but we lack causal evidence. Using a survey experiment of 1200 African-Americans, we prompt respondents to consider group social position when evaluating political commonality with Latinos. The experiment describes racial disparities in a randomized domain (education or housing), varies the description of inequality (either Black versus White, Latino versus White, or Black and Latino versus White), and offers half of the respondents a political cue to test whether shared social disadvantage causes Blacks’ perceptions of political commonality with Latinos. We find little evidence of a causal relationship. We conclude that cross-racial minority political coalitions may be more difficult to activate than previously thought

Middle Eastern and North African Americans may not be perceived, nor perceive themselves, to be White

People of Middle Eastern and North African (MENA) descent are categorized as non-White in many Western countries but counted as White on the US Census. Yet, it is not clear that MENA people see themselves or are seen by others as White. We examine both sides of this ethnoracial boundary in two experiments. First, we examined how non-MENA White and MENA individuals perceive the racial status of MENA traits (external categorization), and then, how MENA individuals identify themselves (self-identification). We found non-MENA Whites and MENAs consider MENA-related traits—including ancestry, names, and religion—to be MENA rather than White. Furthermore, when given the option, most MENA individuals self-identify as MENA or as MENA and White, particularly second-generation individuals and those who identify as Muslim. In addition, MENAs who perceive more anti-MENA discrimination are more likely to embrace a MENA identity, which suggests that perceived racial hostility may be activating a stronger group identity. Our findings provide evidence about the suitability of adding a separate MENA label to the race/ethnicity identification question in the US Census, and suggest MENAs’ official designation as White may not correspond to their lived experiences nor to others’ perceptions. As long as MENA Americans remain aggregated with Whites, potential inequalities they face will remain hidden

Housing Search in the Age of Big Data: Smarter Cities or the Same Old Blind Spots?

Housing scholars stress the importance of the information environment in shaping housing search behavior and outcomes. Rental listings have increasingly moved online over the past two decades and, in turn, online platforms like Craigslist are now central to the search process. Do these technology platforms serve as information equalizers or do they reflect traditional information inequalities that correlate with neighborhood sociodemographics? We synthesize and extend analyses of millions of US Craigslist rental listings and find they supply significantly different volumes, quality, and types of information in different communities. Technology platforms have the potential to broaden, diversify, and equalize housing search information, but they rely on landlord behavior and, in turn, likely will not reach this potential without a significant redesign or policy intervention. Smart cities advocates hoping to build better cities through technology must critically interrogate technology platforms and big data for systematic biases

Inclusive but Not Integrative: Ethnoracial Boundaries and the Use of Spanish in the Market for Rental Housing

Increasing Spanish fluency in the United States likely shapes ethnoracial group boundaries and inequality. We study a key site for group boundary negotiations—the housing market—where Spanish usage may represent a key source of information exchange between landlords and prospective renters. Specifically, we examine the use of Spanish in advertisements for online rental housing and its effect on White, Black, and Latinx Americans' residential preferences. Using a corpus of millions of Craigslist rental listings, we show that Spanish listings are concentrated in majority-Latinx neighborhoods with greater proportions of immigrant and Spanish-speaking residents. Furthermore, units that are advertised in Spanish tend be lower priced relative to non-Spanish ads in the same neighborhood. We then use a survey experiment to demonstrate that Spanish usage decreases White, Black, and non-Spanish-speaking Latinx Americans' interest in a housing unit and surrounding neighborhood, whereas Spanish-speaking Latinx respondents are less affected. We discuss these findings in light of past work on neighborhood demographic preferences, segregation, and recent theorizing on within-category inequality

Measurement Error in Panel Data: A Comparison of Face-to-Face and Internet Survey Samples

for suggestions and constructive criticism. She thanks Michael Rosenfeld for generously agreeing to share a restricted version of the HCMST data set