Remarriage,Delayed Marriage,and Black/White Intermarriage, 1968–1995

How have changes in marriage order and marriage timing affected 1968–1995 trends in United States Black/White intermarriage? Researchers usually follow a one-sex perspective on the effects of timing and marriage order on marital selection, arguing that delayed marriages and remarriages will be more heterogamous than early or first marriages. This paper shows that a one-sex perspective is oversimplified and that assortative marriage with respect to race depends on the interaction of both husband’s and wife’s characteristics. Marriages that match with respect to age or marriage order tend to also match with respect to race. First marriages and remarriages for both partners are more likely to be same-race marriages. Marriages that are intermarriages with respect to marriage order are more likely to also be intermarriages with respect to race. Marriages that are usual age combinations (husband and wife similar in age or husband slightly older) are also usual race combinations (husband and wife same race). Marriages that are unusual age combinations are more likely to be racial intermarriages. This paper also shows that trends in remarriage patterns do not account for the increasing trend in racial intermarriage and that trends in marriage timing have actually slowed increases in racial intermarriage.     

Kinship networks that cross racial lines: The exception or the rule?

I estimate the frequencies of interracial kin relations, an important indicator of the isolation of racial groups in the United States. I use two techniques to estimate the size and heterogeneity of extended families. First, I develop a simple model that takes account only of kinship network sizes and intermarriage levels by race. This model allows a crude estimation of the frequency of multiracial kinship networks. Second, I produce more precise empirical estimates using a new hot-deck imputation method for synthesizing kinship networks from household-level survey data (the June 1990 Current Population Survey and the 1994 General Social Survey). One in seven whites, one in three blacks, four in five Asians, and more than 19 in 20 American Indians are closely related to someone of a different racial group. Despite an intermarriage rate of about 1%, about 20% of Americans count someone from a different racial group among their kin.     

Breaking the racial barriers: Variations in interracial marriage between 1980 and 1990

Using PUMS data from the 1980 and the 1990 U.S. Census, I apply log-linear models to examine interracial marriage among whites, African Americans, Hispanics, and Asian Americans. Rarely, but increasingly between 1980 and 1990, interracial marriage of whites occurs most frequently with Asian Americans, followed by Hispanics, and then by African Americans. Interracial marriage tends to be educationally homogamous and the odds of interracial marriage increase with couples ’ educational attainment. Among interracially married couples with different educational attainments, both men and women from lower status racial groups but with high education levels tend to marry spouses from a higher status racial group with low education levels     

The impact of intermarriage on ethnic stratification: Jews in Israel

We investigate macro-level implications of ethnic/racial intermarriage in one generation on ethnic/racial inequality in the subsequent generation. In our theoretical model, ethnic intermarriage affects ethnic stratification through intergenerational transmissions of socioeconomic status and ethnicity. The effects of ethnic intermarriage depend on the association between ethnic intermarriage and socioeconomic status in the parents’ generation, as well as the association between ethnic (self-)identification and socioeconomic status in the offspring generation. The model suggests that under plausible scenarios, intermarriage may increase socioeconomic gaps across ethnic groups. Thus, the model's predictions temper those of assimilation and melting pot theories, which suggest that ethnic intermarriage unequivocally reduces ethnic inequality.     

Are marriages that cross ethnic boundaries more likely to end in divorce?

According to the most recent Australian census, almost 40 per cent of the population were immigrants or the children of immigrants. They came from a wide range of countries, mainly in Europe or Asia. Earlier census analyses of their marriage patterns in Australia show a declining tendency over time towards inmarriage among most immigrant groups. However, there are potential biases in using retrospective census data to measure changes in inmarriage. For example, marriages that cross ethnic lines may be more likely to end in divorce than ethnically homogeneous marriages. If so, an analysis of marriages surviving to the most recent census will tend to (1)understate past rates of intermarriage and (2)overstate any trend over time towards intermarriage. This paper discusses data on ethnic divorce patterns in Australia since the end of the Second World War and assesses evidence for differential rates of breakdown among ethnically homogeneous versus heterogeneous marriages. Analysis shows that, relative to a cross-pressures model of behavioural convergence, heterogamous marriages are more likely to end in divorce than homogamous ones.     

Intermarriage patterns and social cohesion among first, second and later generation Australians

Studies of ethnic intermarriage in Australia have found that group size, residential segregation, and religious homogeneity, as well as social distance from the dominant (Anglo) cultural group, are important factors determining the likelihood of ethnic intermarriage. However, studies to date have predominantly focused on the first generation, and have less to say about interethnic marriages among members of the second and later generations. This paper analyses marriage patterns across immigrant generations, focusing on specific European ancestries: German, Dutch, Greek, Italian, Polish and Hungarian, contrasted with members of the dominant group. The results reveal strong effects of ancestry, immigrant generation, cross-generational preferences, and intergroup exchanges, as well as a few disjunctions reflecting discontinuities in the history of settlement among different immigrant groups. The results also show that social distance is important in determining the likelihood of intermarriage, as well as the cohesiveness of ethnic groups across generations.     

Ethnic Intermarriage and Social Cohesion. What Can We Learn from Yugoslavia?

Social cohesion theory is tested using data on ethnic intermarriage in former Yugoslavia. Before the disintegration of Yugoslavia, the proportion of marriages outside the own ethnic group was generally low, but in this respect large differences among the groups existed. The proportion of mixed marriages with a Serbian partner was much higher among the Montenegrins and Hungarians than among the Muslims, Slovenes, or Albanians. The findings are largely in line with the predictions of social cohesion theory that intermarriage reduces the probability of violent conflict among social groups. Besides proportions of mixed marriages, loglinear parameters are presented. These parameters show that percentages not always give a good indication of the social distances among groups. The boundaries of the largest ethnic groups, the Serbians and Croatians, were less closed than their rather low intermarriage rates suggested. The social distance between the Hungarians and the Serbians, on the other hand, was larger than expected on the basis of their intermarriage rates. The findings stress the importance of including information on ethnically mixed marriages into models of ethnological monitoring and early warning systems for ethnic conflicts.     

Urban labor markets and individual transitions out of poverty

Using data from the Panel Study of Income Dynamics and the U.S. census, I examine the effect of four structural characteristics on individual poverty exits: (1) economic restructuring, (2) skills mismatches, (3) racial residential segregation, and (4) welfare benefit levels. Results show that these factors play a role in explaining African Americans’ economic disadvantages, but they have a weaker and often contrary impact on whites’ poverty exits. Overall, the differing impact of the contextual characteristics on African Americans and whites exacerbates social stratification and illustrates racial divisions that continue to pervade the labor market.     

Locational returns to human capital: Minority access to suburban community resources

The suburbanization of racial and ethnic minorities is analyzed in terms of the locational resources provided by their communities of residence. In suburbs in the New York CMSA, non-Hispanic whites and Asians, on average, live in communities with higher average socioeconomic status, while Hispanics and blacks live in the less desirable suburbs. Models predicting suburban socioeconomic status for each racial/ethnic group show that whites and Hispanics receive consistent returns on income, acculturation, and family status. Asians’ locational patterns differ because they are unrelated to measures of acculturation; for blacks, locational outcomes correspond least to any of these human capital characteristics.     

The Persistence of Racial Disadvantage: The Socioeconomic Attainments of Single-Race and Multi-Race Native Americans

Using data from the 2000 U.S. Census, we investigate the schooling and earnings of single-race and multi-race Native Americans. Our analysis distinguishes between Single-Race Native Americans, biracial White Native Americans, biracial Hispanic-White Native Americans, and biracial Black Native Americans. Further differentiating by gender, the results indicate significant variation in socioeconomic attainments across these different Native American groups although almost all of them are in some way disadvantaged relative to non-Hispanic, non-Native American whites. The most disadvantaged group tends to be Single-Race Native Americans who have the lowest levels of schooling as well as lower earnings relative to non-Hispanic, non-Native American whites who are comparable in terms of schooling, age, and other basic demographic characteristics. The results demonstrate notable differentials by the racial/ethnic type of Native American group as well as by gender. In the case of men, all of the Native American groups have clear socioeconomic disadvantages. One contrast is that migration slightly increases the earnings of men but it slightly decreases the earnings of women. We interpret these findings as underscoring how measured socioeconomic differentials between demographic groups are significantly affected by the categorization of race/ethnicity in surveys and by how persons choose to be enumerated in terms of those categories.     

Conducive Characteristics or Anti-Racist Context? Decomposing the Reasons for Veterans’ High Likelihood of Interracial Marriage

Over the twentieth and twenty-first centuries, veterans have been more likely to enter into race/ethnic intermarriages than non-veterans. Theories of race/ethnic intermarriage variously point to how minority race/ethnicity, race/ethnically diverse social settings, progressive racial attitudes, and high socioeconomic status increase individuals’ likelihood of intermarrying. Veterans’ unique racial and socioeconomic characteristics may contribute to their greater likelihood of intermarrying relative to non-veterans: larger percentages of veterans than non-veterans are members of racial and ethnic minority groups, while military service increases individual service members’ long-term economic and educational prospects. At the same time, veterans share in common their exposure to the unique military environment, which may increase their likelihood of intermarriage by diversifying their social circles, and subjecting their attitudes and behavior to group norms that are more explicitly egalitarian than those of society at large. The present study considers these two possible explanations for veterans’ greater likelihood of intermarriage. We use data on seven cohorts of men over six decades in the Current Population Survey, representing a total of 1,456,742 observations, to decompose the difference in likelihood of racial intermarriage between veterans and non-veterans among married men aged 18–65. We find that across cohorts and decades, veterans’ greater likelihood of intermarrying is not fully explained by their race/ethnic and socioeconomic composition. We argue that veterans’ greater likelihood of intermarrying may therefore be driven by their exposure to the military environment.     

Insight into ethnic flux: Marriage patterns among jews of mixed ancestry in Israel

Increases in ethnic and racial intermarriage in immigrant countries have led to growing proportions of persons of mixed ancestry and backgrounds. The marriage patterns of these persons both reflect and affect the salience and meaning of current forms of ethnicity and race in these societies. This article analyzes the marriage behavior of children of ethnically mixed unions in the Jewish population of Israel. Among persons of mixed ancestry, educational attainment plays a large role in whether they marry Ashkenazim or less economically advantaged Mizrahim. Such patterns suggest that intermarriage in Israel does not necessarily reduce ethnic differences in socioeconomic status or the salience of ethnicity among disadvantaged groups.     

How Long are Exposures to Poor Neighborhoods? The Long-Term Dynamics of Entry and Exit from Poor Neighborhoods

Although discussions of poor neighborhoods often assume that their residents are a distinct population trapped in impoverished environments for long durations, no past research has examined longitudinal patterns of residence in poor neighborhoods beyond single-year transitions. Using data from the Panel Study of Income Dynamics from 1979 to 1990 matched to census tract data, this paper provides the first estimates of duration of stay and rates of re-entry in poor (20%+ poor) and extremely poor (40%+ poor) census tracts. The results indicate that (1) there is great racial inequality in longitudinal patterns of exposure to poorneighborhoods – mostAfrican Americans will live in a poor neighborhood over a 10 year span, contrasted to only 10 percent of whites; (2) exits from high poverty neighborhoods are not uncommon, but re-entries to poor neighborhoods following an exit are also very common, especially among African Americans; and (3) length of spell in a poor neighborhood is positively associated with low income, female headship, and, most of all, black race. Little of the racial difference is accounted for by racial difference in poverty status or family structure. Implications for research and public policy are discussed.     

Racial/Ethnic and Nativity Patterns of U.S. Adolescent and Young Adult Smoking

We document racial/ethnic and nativity differences in U.S. smoking patterns among adolescents and young adults using the 2006 Tobacco Use Supplement to the Current Population Survey (n = 44,202). Stratifying the sample by nativity status within five racial/ethnic groups (Asian American, Mexican–American, other Hispanic, non-Hispanic black, and non-Hispanic white), and further by sex and age, we compare self-reports of lifetime smoking across groups. U.S.-born non-Hispanic whites, particularly men, report smoking more than individuals in other racial/ethnic/nativity groups. Some groups of young women (e.g., foreign-born and U.S.-born Asian Americans, foreign-born and U.S.-born Mexican–Americans, and foreign-born blacks) report extremely low levels of smoking. Foreign-born females in all of the 25–34 year old racial/ethnic groups exhibit greater proportions of never smoking than their U.S.-born counterparts. Heavy/moderate and light/intermittent smoking is generally higher in the older age group among U.S.-born males and females, whereas smoking among the foreign-born of both sexes is low at younger ages and remains low at older ages. Taken together, these findings highlight the importance of considering both race/ethnicity and nativity in assessments of smoking patterns and in strategies to reduce overall U.S. smoking prevalence and smoking-attributable health disparities.     

Marriage Markets and Intermarriage: Exchange in First Marriages and Remarriages

Drawing on data from the American Community Survey, we compare patterns of assortative mating in first marriages, remarriages, and mixed-order marriages. We identify a number of ascribed and achieved characteristics that are viewed as resources available for exchange, both as complements and substitutes. We apply conditional logit models to show how patterns of assortative mating among never-married and previously married persons are subject to local marriage market opportunities and constraints. The results reveal that previously married individuals “cast a wider net”: spousal pairings are more heterogamous among remarriages than among first marriages. Marital heterogamy, however, is reflected in systematic evidence of trade-offs showing that marriage order (i.e., status of being never-married) is a valued trait for exchange. Never-married persons are better positioned than previously married persons to marry more attractive marital partners, variously measured (e.g., highly educated partners). Previously married persons—especially women—are disadvantaged in the marriage market, facing demographic shortages of potential partners to marry. Marriage market constraints take demographic expression in low remarriage rates and in heterogamous patterns of mate selection in which previously married partners often substitute other valued characteristics in marriage with never-married persons.     

The Changing Racial and Ethnic Composition of the US Population: Emerging American Identities

Images and interpretations of the past, present, and future of the American racial and ethnic landscape are contradictory. Many accounts focus on the increasing diversity that results from immigration and differential natural increase as well as the proliferation of racial and ethnic categories in census data. Less attention has been paid to the formation and erosion of racial and ethnic identities produced by intermarriage and ethnic blending. The framers and custodians of census racial classifications assume a “geographic origins” definition of race and ethnicity, but the de facto measures in censuses and social surveys rely on folk categories that vary over time and are influenced by administrative practices and sociopolitical movements. We illustrate these issues through an in‐depth examination of the racial and ethnic reporting by whites, blacks, Asians, and Hispanics in the 2000 census. The emerging pattern, labeled here as the “Americanization” of racial and ethnic identities, and most evident for whites and blacks, is of simplified racial identities with little acknowledgment of complex ancestries. National origin is the predominant mode of reporting racial and ethnic identities among Asians and Hispanics, especially first‐generation immigrants. The future of racial and ethnic identities is unknowable, but continued high levels of immigration, intermarriage, and social mobility are likely to blur contemporary divisions and boundaries.     

Racial and Ethnic Disparities in Health Insurance Coverage: Dynamics of Gaining and Losing Coverage Over the Life-Course

Health insurance coverage varies substantially between racial and ethnic groups in the United States. Compared to non-Hispanic whites, African Americans and people of Hispanic origin had persistently lower insurance coverage rates at all ages. This article describes age- and group-specific dynamics of insurance gain and loss that contribute to inequalities found in traditional cross-sectional studies. It uses the longitudinal 2008 Panel of the Survey of Income and Program Participation (N = 114,345) to describe age-specific patterns of disparity prior to the Affordable Care Act (ACA). A formal decomposition on increment–decrement life tables of insurance gain and loss shows that coverage disparities are predominately driven by minority groups’ greater propensity to lose the insurance that they already have. Uninsured African Americans were faster to gain insurance compared to non-Hispanic whites, but their high rates of insurance loss more than negated this advantage. Disparities from greater rates of loss among minority groups emerge rapidly at the end of childhood and persist throughout adulthood. This is especially true for African Americans and Hispanics, and their relative disadvantages again heighten in their 40s and 50s.     

Friends for better or for worse: Interracial friendship in the United States as seen through wedding party photos

Friendship patterns are instrumental for testing important hypotheses about assimilation processes and group boundaries. Wedding photos provide an opportunity to directly observe a realistic representation of close interracial friendships and race relations. An analysis of 1,135 wedding party photos and related information shows that whites are especially unlikely to have black friends who are close enough to be in their wedding party. Adjusting for group size, whites and East and Southeast Asians (hereafter E/SE Asians) are equally likely to be in each other's weddings, but whites invite blacks to be in their wedding parties only half as much as blacks invite whites, and E/SE Asians invite blacks only one-fifth as much as blacks invite E/SE Asians. In interracial marriages, both E/SE Asian and black spouses in marriages to whites are significantly less likely than their white spouses to have close friendships with members of their spouse's race.     

Does Multiracial Matter? A Study of Racial Disparities in Self-Rated Health

How do self-identified multiracial adults fit into documented patterns of racial health disparities? We assess whether the health status of adults who view themselves as multiracial is distinctive from that of adults who maintain a single-race identity, by using a seven-year (2001–2007) pooled sample of the Behavioral Risk Factor Surveillance System (BRFSS). We explore racial differences in self-rated health between whites and several single and multiracial adults with binary logistic regression analyses and investigate whether placing these groups into a self-reported “best race” category alters patterns of health disparities. We propose four hypotheses that predict how the self-rated health status of specific multiracial groups compares with their respective component single-race counterparts, and we find substantial complexity in that no one explanatory model applies to all multiracial combinations. We also find that placing multiracial groups into a single “best race” category likely obscures the pattern of health disparities for selected groups because some multiracial adults (e.g., American Indians) tend to identify with single-race groups whose health experience they do not share.