Migration and spatial assimilation among u.s. latinos: Classical versus segmented trajectories

We used merged data from the Latino National Political Survey, the Panel Study of Income Dynamics, and the U.S. census to examine patterns and determinants of interneighborhood residential mobility between 1990 and 1995 for 2,074 U.S. residents of Mexican, Puerto Rican, and Cuban ethnicity. In several respects, our findings confirm the central tenets of spatial assimilation theory: Latino residential mobility into neighborhoods that are inhabited by greater percentages of non-Hispanic whites (i.e., Anglos) increases with human and financial capital and English-language use. However, these results also point to variations in the residential mobility process among Latinos that are broadly consistent with the segmented assimilation perspective on ethnic and immigrant incorporation. Net of controls, Puerto Ricans are less likely than Mexicans to move to neighborhoods with relatively large Anglo populations, and the generational and socioeconomic differences that are anticipated by the classical assimilation model emerge more strongly for Mexicans than for Puerto Ricans or Cubans. Among Puerto Ricans and Cubans, darker skin color inhibits mobility into Anglo neighborhoods.     

Neighborhood Diversity, Metropolitan Constraints, and Household Migration

Focusing on micro-level processes of residential segregation, this analysis combines data from the Panel Study of Income Dynamics with contextual information from three censuses and several other sources to examine patterns of residential mobility between neighborhoods populated by different combinations of racial and ethnic groups. We find that despite the emergence of multiethnic neighborhoods, stratified mobility dynamics continue to dominate, with relatively few black or white households moving into neighborhoods that could be considered multiethnic. However, we also find that the tendency for white and black households to move between neighborhoods dominated by their own group varies significantly across metropolitan areas. Black and white households' mobility into more integrated neighborhoods is shaped substantially by demographic, economic, political, and spatial features of the broader metropolitan area. Metropolitan-area racial composition, the stock of new housing, residential separation of black and white households, poverty rates, and functional specialization emerge as particularly important predictors. These macro-level effects reflect opportunities for intergroup residential contact as well as structural forces that maintain residential segregation.     

NEIGHBORHOOD POVERTY AND NONMARITAL FERTILITY: SPATIAL AND TEMPORAL DIMENSIONS

Data from 4,855 respondents to the Panel Study of Income Dynamics were used to examine spatial and temporal dimensions of the effect of neighborhood poverty on teenage premarital childbearing. Although high poverty in the immediate neighborhood increased the risk of becoming an unmarried parent, high poverty in surrounding neighborhoods reduced this risk. The effect of local neighborhood poverty was especially pronounced when surrounding neighborhoods were economically advantaged. Measuring exposure to neighborhood poverty over the childhood life course yielded stronger effects than measuring exposure at a single age. Neither racial differences in the level of poverty in proximate neighborhoods nor racial differences in neighborhood poverty over the childhood life course explained the racial difference in nonmarital fertility.     

SPATIAL AND TEMPORAL DIMENSIONS OF NEIGHBORHOOD EFFECTS ON HIGH SCHOOL GRADUATION

Research into the effects of neighborhood characteristics on children’s behavior has burgeoned in recent years, but these studies have generally adopted a limited conceptualization of the spatial and temporal dimensions of neighborhood effects. We use longitudinal data from the Panel Study of Income Dynamics and techniques of spatial data analysis to examine how both the socioeconomic characteristics of extralocal neighborhoods—neighborhoods surrounding the immediate neighborhood of residence—and the duration of exposure to disadvantaged neighborhoods throughout the childhood life course influence the likelihood of graduating from high school. Among blacks and whites, socioeconomic advantage in the immediate neighborhood increases the likelihood of completing high school, but among whites higher levels of socioeconomic advantage in extralocal neighborhoods decrease high school graduation rates. Extralocal neighborhood advantage suppresses the influence of advantage in the immediate neighborhood so that controlling for extralocal conditions provides stronger support for the neighborhood effects hypothesis than has previously been observed. Exposure to advantaged neighborhoods over the childhood life course exerts a stronger effect than point-in-time measures on high school graduation, and racial differences in exposure to advantaged neighbors over the childhood life course help to suppress a net black advantage in the likelihood of completing high school.     

Bayesian analysis of quasi-life tables

Quasi-life tables, in which the data arise from many concurrent, independent, discrete-time renewal processes, were defined by Baxter (1994, Biometrika 81:567–577), who outlined some methods for estimation. The processes are not observed individually; only the total numbers of renewals at each time point are observed. Crowder and Stephens (2003, Lifetime Data Anal 9:345–355) implemented a formal estimating-equation approach that invokes large-sample theory. However, these asymptotic methods fail to yield sensible estimates for smaller samples. In this paper, we implement a Bayesian analysis based on MCMC computation that works equally well for large and small sample sizes. We give three simulated examples, studying the Bayesian results, the impact of changing prior specification, and empirical properties of the Bayesian estimators of the lifetime distribution parameters. We also study the Baxter (1994, Biometrika 81:567–577) data, and uncover structure that has not been commented upon previously.     

Do Residential Conditions Explain the Relationship Between Living Arrangements and Adolescent Behavior?

Persistent effects of childhood living arrangements and family change on adolescent outcomes have often been attributed to differences in socialization and intrafamily processes. We use data from the Panel Study of Income Dynamics to assess an alternative explanation: that neighborhood context and residential mobility represent a central set of mechanisms through which family structure affects adolescent risk behavior. Our results indicate that the effects of childhood living arrangements and family change on the risk of dropping out of school (n = 8,267) and of experiencing a premarital teen pregnancy (n = 6,063) are largely attenuated when differences in the level of neighborhood disadvantage and the number of residential moves experienced by adolescents is taken into account.     

On assessing independence of Competing Risks when failure times are discrete

The traditional approach to modelling for Competing Risks, via a multivariate distribution of latent failure times, is very natural for many applications but suffers from a well-documented problem of identifiability. However, the demonstrations of this problem in the literature apply to essentially continuous latent failure times where any atoms of probability in their distributions are not too intrusive. It is shown in this paper that for discrete failure times the classic results on the identifiability problem concerning the existence of equivalent independent risks are incomplete.     

On the Analysis of Quasi-Life Tables

Baxter (1994) defined a quasi-life table in which the data arise from many concurrent, independent, discrete-time renewal processes. The processes are not observed individually, only the total numbers of renewals at each time point are observed. The estimates proposed by Baxter (1994), based on the discrete-time renewal equation, are studied more formally here, and some extensions are made.