Family and child characteristics linking neighborhood context and child externalizing behavior

Neighborhood conditions are related to children's externalizing behavior, although few processes that help explain this association have been identified. With data from 189 primarily low‐income Anglo and Mexican American families, we tested a stress process model that included 3 potential mediators of this relationship. The results showed that child stressful life events, association with deviant peers, and parent‐child conflict mediated the relationship between neighborhood context and child externalizing behavior when household income and maternal depression were controlled. The model explained more than 25% of the variance in externalizing behavior. Furthermore, differences in results for families with a U.S.‐born versus Mexico‐born mother showed that neighborhood influences on families and children may be quite complex.     

On inference from Markov chain macro-data using transforms

We consider data that are longitudinal, arising from n individuals over m time periods. Each individual moves according to the same homogeneous Markov chain, with s states. If the individual sample paths are observed, so that ‘micro-data’ are available, the transition probability matrix is estimated by maximum likelihood straightforwardly from the transition counts. If only the overall numbers in the various states at each time point are observed, we have ‘macro-data’, and the likelihood function is difficult to compute. In that case a variety of methods has been proposed in the literature. In this paper we propose methods based on generating functions and investigate their performance.     

NEIGHBORHOOD DISADVANTAGE AMONG RACIAL AND ETHNIC GROUPS:

We compare the neighborhood characteristics of native- and foreign-born blacks, whites, Hispanics, and Asians in 1970 and 1980. We broaden the locational attainment literature by emphasizing three contrasts: between black and nonblack groups, between native black and nonblack immigrant groups, and among black groups. Consistent with previous evidence, we find a clear spatial disadvantage for black groups relative to nonblack groups, and for native blacks compared to nonblack immigrant groups, in both years. However, our study reveals a slight advantage for foreign nonHispanic blacks (e.g., Afro-Caribbean immigrants) among the black groups throughout the time period. Our results break new ground by extending the analysis of racial and ethnic variation in residential attainment back to 1970, providing an earlier benchmark against which current patterns of residential attainment can be compared.     

White Flight Revisited: A Multiethnic Perspective on Neighborhood Out-Migration

Using geo-linked data from the Panel Study of Income Dynamics and the decennial census, we compare probabilities of neighborhood out-migration for Anglos, blacks, Mexicans, Puerto Ricans, and Cubans by varying ethno-racial neighborhood compositions. Analyses for Latinos are disaggregated by nativity status. The results indicate that Anglos have a higher likelihood of moving when they have many minority neighbors and there is little difference whether minority neighbors are black or Latino. Among minorities there is some evidence of “minority flight” from whiter neighborhoods. Cubans, especially foreign-born Cubans, demonstrate the strongest propensity to flee neighborhoods with large black populations, whereas the probability of moving out decreases for Mexicans and Puerto Ricans when their neighbors are more likely to be black. Ethno-racial neighborhood composition has little effect on blacks’ decision to leave their neighborhood.

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 IMMIGRATION AND NATIVE OUT-MIGRATION

This study combines data from the Panel Study of Income Dynamics with data from four censuses to examine the effects of foreign-born populations in the immediate neighborhood of residence and surrounding neighborhoods on the residential mobility decisions of native-born black and white householders. We find that the likelihood of out-mobility for native householders is significantly and positively associated with the relative size of, and increases in, the immigrant population in the neighborhood. Consistent with theoretical arguments related to the distance dependence of mobility, large concentrations of immigrants in surrounding areas reduce native out-mobility, presumably by reducing the attractiveness of the most likely mobility destinations. A sizable share of local immigration effects can be explained by the mobility-related characteristics of native-born individuals living in immigrant-populated areas, but the racial composition of the neighborhood (for native whites) and local housing market conditions (for native blacks) also are important mediating factors. The implications of these patterns for processes of neighborhood change and broader patterns of residential segregation are discussed.     

Geographic Mobility and Spatial Assimilation among U. S. Latino Immigrants1

Although the spatial assimilation of immigrants to the United States has important implications for social theory and social policy, few studies have explored the atterns and determinants of interneighborhood geographic mobility that lead to immigrants’residential proximity to the white, non‐Hispanic majority. We explore this issue by merging data from three different sources ‐ the Latino National Political Survey, the Panel Study of Income Dynamics, and tract‐level census data ‐ to begin unraveling causal relationships among indicators of socioeconomic, social, cultural, segmented, and spatial assimilation. Our longitudinal analysis of 700 Mexican, Puerto Rican, and Cuban immigrants followed from 1990 to 1995 finds broad support for hypotheses derived from the classical account of minority assimilation. High income, English language use, and embeddedness in Anglo social contexts increase Latino immigrants’geographic mobility into Anglo neighborhoods. U. S. citizenship and years spent in the United Stares are ppsidvely associated with geographic mobility into more Anglo neighbor oods, and coethnic contact is inversely associated with this form of mobility, but these associations operate largely through other redictors. Prior experiences of ethnic discrimination increase and residence in public housing decreases the likelihood that Latino immigrants will move from their origin neighborhoods, while residing in metropolitan areas with large Latino populations leads to geographic moves into “less Anglo” census tracts.     

Characterizations of Competing Risks in Terms of Independent-Risks Proxy Models

In competing risks a failure time T and a cause C , one of p possible, are observed. A traditional representation is via a vector ( T ₁, ..., T_p ) of latent failure times such that T = min( T ₁, ..., T_p ); C is defined by T = T_C in the basic situation of failure from a single cause. There are several results in the literature to the effect that a joint distribution for ( T ₁, ..., T_p ), in which the T_j are independent, can always be constructed to yield any given bivariate distribution for ( C , T ). For this reason the prevailing wisdom is that independence cannot be assessed from competing risks data, not even with arbitrarily large sample sizes (e.g. Prentice et al. , 1978). A result was given by Crowder (1996) which shows that, under certain circumstances, independence can be assessed. The various results will be drawn together and a complete characterization can now be given in terms of independent-risks proxy models.     

Proportional hazards models with discrete frailty

We extend proportional hazards frailty models for lifetime data to allow a negative binomial, Poisson, Geometric or other discrete distribution of the frailty variable. This might represent, for example, the unknown number of flaws in an item under test. Zero frailty corresponds to a limited failure model containing a proportion of units that never fail (long-term survivors). Ways of modifying the model to avoid this are discussed. The models are illustrated on a previously published set of data on failures of printed circuit boards and on new data on breaking strengths of samples of cord.