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.     

Why People Like Where They Live: Individual- and Community-Level Contributors to Community Satisfaction

Using multi-level modeling in 26 communities, this study examines contributors to three domains of community satisfaction—overall satisfaction, social life satisfaction, and infrastructure satisfaction. Human capital/demographic and social capital/network contributors emerge at both the individual and community levels in accounting for variation in community satisfaction. Some effects remain the same across levels and domains, but some effects differ. For example, living near family members increases satisfaction in all domains at the individual level, but at the community level, it decreases satisfaction in all domains. Residing in communities high in urbanicity reduces overall satisfaction, but has no effect on infrastructure satisfaction. Moreover, both individual and community level factors matter and impact community satisfaction.     

Birth rates decline as neighbors learn from one another how to control fertility

This article refers to a recent article (by Population Council demographer John Bongaarts and University of Pennsylvania sociology professor Susan Cotts Watkins) on strategies for promoting future global fertility decline. The article emphasizes the importance of the process of social interaction as a powerful force that accelerates the pace of demographic transition. The force of social interaction is frequently overlooked. Social interaction operates through personal networks that connect individuals; national channels of interaction connecting social and territorial communities within a country; and global channels connecting countries. Empirical evidence finds that the most important interaction for fertility change occurs in exchanges between personal networks of small communities. When innovative fertility behavior is adopted by a group within a community, then changes are communicated in an ever widening band. It is expected that countries with multiple channels of linked transportation and communication networks and extensive media facilities would experience more rapid fertility decline. Bongaarts and Watkins argue that the extent of a country's links with a global society help determine the timing of its transition to lower fertility. All countries are connected to some extent by ideas, information, or social influence and are at some level of development. When some countries in a region begin their fertility transition, neighboring countries soon follow. Fertility transition occurs even at low levels of development. Fertility decline can occur rapidly, even if socioeconomic development is modest, once the onset of the transition has occurred.     

The economic boundaries of kinship in Côte d'Ivoire

The purpose of this article is to explore the patterns of economicsupport between kin in Côte d'Ivoire. The nuclear family has been dismissed as a meaningful unit within the corporate extended kinship structure of West Africa. Furthermore, extended kinship has been seen as an important support for high fertility since the costs of childbearing are shared within a wider kinship group and not fully absorbed by the biological parents. Extended kinship patterns are also thought to greatly facilitate informal insurance markets. However, data on economic transfers between kin in Côte d'Ivoire show a surprising but clear picture: kinship support in Côte d'Ivoire is primarily focused on close kin (parents, children and siblings). This pattern of kinship nucleation appears to intensify for richer households, despite controls for education, residency, nationality, and household size. The limited, cross-sectional perspective suggests that development is not working so much within the existing family structure but rather is operating to transform the ties between kin.     

Formal models and methods for the analysis of kinship and household organization

This paper discusses the use of formal models for analyzing kin-group and household organization. The authors begin by presenting a conceptual framework that relates the supply of kin to rules of household formation, demographic constraints, and observed household structure. This framework is used to evaluate an array of techniques and models of kinship and households. Kin relations and household structures can be described using a unifying model designed to identify the dynamic of a system of states out of and into which the units of analysis can move. The behavior of the system is identified through knowledge of transition rates. It is then possible to link such transition rates to coarse indicators of the system, such as proportions occupying a state and distribution of the units by state. Analytic, macro-, and microsimulation models are just alternative ways of linking a state-space and measures of transition rates to final indicators or outcomes. No model can avoid addressing the independence, homogeneity, and time-invariance assumptions, or the 2-sex problem.     

Impacts of population change on vulnerability and the capacity to adapt to climate change and variability: a typology based on lessons from “a hard country”

This article describes and analyzes the impacts of population and demographic change on the vulnerability of communities to climate change and variability. It begins with a review of existing literature on the effects of population change on anthropogenic greenhouse gas emissions, the exposure of settlements to climate risks, and on the capacity to adapt to climate change. The article explores the relationship between population change and adaptive capacity through detailed examination of empirical findings from a study of small communities in eastern Ontario, Canada currently experiencing a combination of changes in local climatic conditions and rapid demographic change caused by in-migration of urban retirees and out-migration of young, educated people. The combination of changing demographic and climatic patterns has placed increased stress on local social networks that have long been critical to climate adaptation in that region. The case study and literature review are used to create a general typology of the relationship between population change and vulnerability that may be used as a framework for future research in this field.     

On the role of families and kinship networks in pre-industrial agricultural societies: An analysis of the 1698 Slavonian census

This paper uses the 1698 Slavonian census to illuminate features of social organization and productive activity of an eastern European population under the New Feudalism of the 17th century. In particular we investigate the ability of community or kinship networks to provide substitutes for missing markets in securities and production factors. It is found that kinship networks increase the efficiency of agricultural production by facilitating the exchange of oxen. This confirms contemporary reports that draft animals were the critical constraint to the expansion of agricultural output. We also find that kinship networks fail to reduce the variability of output through mutual harvest insurance. Received: 03 November 1998/Accepted: 16 June 1999     

Relative cohort size: source of a unifying theory of global fertility transition

Using United Nations estimates of age structure and vital rates for 184 countries at five‐year intervals from 1950 through 1995, this article demonstrates how changes in relative cohort size appear to have affected patterns of fertility across countries since 1950—not just in developed countries, but perhaps even more importantly in developing countries as they pass through the demographic transition. The increase in relative cohort size (defined as the proportion of males aged 15–24 relative to males aged 25–59), which occurs as a result of declining mortality rates among infants, children, and young adults during the demographic transition, appears to act as the mechanism that determines when the fertility portion of the transition begins. As hypothesized by Richard Easterlin, the increasing proportion of young adults generates a downward pressure on young men's relative wages (or on the size of landhold‐ings passed on from parent to child), which in turn causes young adults to accept a tradeoff between family size and material wellbeing, setting in motion a “cascade” or “snowball” effect in which total fertility rates tumble as social norms regarding acceptable family sizes begin to change.     

Young Children’s Developmental Ecologies and Kindergarten Readiness

Children enter the crucial transition to school with sociodemographic disparities firmly established. Domain-specific research (e.g., on poverty and family structure) has shed light on these disparities, but we need broader operationalizations of children’s environments to explain them. Building on existing theory, this study articulates the concept of developmental ecology—those interrelated features of a child’s proximal environment that shape development and health. Developmental ecology links structural and demographic factors with interactional, psychological, and genetic factors. Using the Early Childhood Longitudinal Study, Birth Cohort (ECLS-B), this study conducts latent class analyses to identify how 41 factors from three domains—namely, household resources, health risks, and ecological changes—cluster within children as four overarching developmental ecologies. Because it documents how numerous factors co-occur within children, this method allows an approximation of their lived environments. Findings illuminate powerful relationships between race/ethnicity, parental age, socioeconomic background, and nativity and a child’s developmental ecology, as well as associations between developmental ecology and kindergarten cognition, behavior, and health. Developmental ecology represents a major pathway through which demographic characteristics shape school readiness. Because specific factors have different implications depending on the ecologies in which they are embedded, findings support the usefulness of a broad ecological approach.     

Population Projections and Demographic Knowledge in France and Great Britain in the Postwar Period

This study examines how official national population projections—a key mechanism for the production and dissemination of demographic knowledge—contributed to differing interpretations of population and fertility trends in France and Great Britain in the decades following World War II, despite these countries' similar fertility rates during most of this period. Projections presented different visions of the demographic future in the two countries. In France, publication of multiple variants emphasized future contingency, with low variants illustrating future population decline due to prolonged below‐replacement fertility. In Britain, publication of a single variant, assuming near‐replacement‐level fertility rates, projected moderate growth. National population projections thus created divergent representations of the two countries' demographic futures: an ever‐present threat of population decline in France, and a reassuring image of stability in Britain. Two principal mechanisms that contributed to cross‐national differences in population projections—national demographic history and institutional configurations—are discussed.     

Families,social life,and well-being at older ages

As people age, many aspects of their lives tend to change, including the constellation of people with whom they are connected, their social context, their families, and their health—changes that are often interrelated. Wave I of the National Social Life, Health, and Aging Project (NSHAP) has yielded rich information on intimate ties, especially dyads and families, and on social connections generally. Combined with extensive biological and other health measures, NSHAP enables researchers to address key questions on health and aging. We begin with recent findings on intimate dyads, then move to social participation, and finally to elder mistreatment. Among dyads, we find that whereas sexual activity drops sharply with age for both women and men, gender differences in partner loss as well as psychosocial and normative pressures constrain women’s sex more than men’s. However, surviving partnerships tend to be emotionally and physically satisfying and are marked by relatively frequent sex. In contrast to sex, nonsexual intimacy is highly prevalent at older ages, especially among women. Older adults are also socially resilient—adapting to the loss of social ties by increasing involvement with community and kin networks. Despite these social assets, older adults remain vulnerable to mistreatment. Overall, these findings yield a mixed picture of gender-differentiated vulnerabilities balanced by proactive adaptation and maintenance of social and dyadic assets.     

Moving beyond the household: Innovations in data collection on kinship

Across settings, it has been shown that the co-residential household is an insufficient measure of family structure and support. However, it continues to be the primary means of population data collection. To address this problem, we developed a new instrument, the Kinship Support Tree (KST), to collect kinship structure and support data on co-residential and non-residential kin and tested it on a sample of 462 single mothers and their children in a slum community in Nairobi, Kenya. This instrument is unique in four important ways: (1) it is not limited to the co-residential household; (2) it distinguishes potential from functional kin; (3) it incorporates multiple geospatial measures; and (4) it collects data on kin relationships specifically for children. In this paper, we describe the KST instrument, assess the data collected in comparison to data from household rosters, and consider the challenges and feasibility of administration of the KST.     

Why Do People Become Modern? A Darwinian Explanation

A procession of cultural changes, often referred to as “modernization,” is initiated as a society undergoes economic development. But cultural change continues to be rapid in societies that industrialized several generations ago. Much of the change in both developed and developing societies is a progressive abandonment of the norms, values, and beliefs that encourage behavior consistent with the pursuit of genetic fitness. The kin influence hypothesis suggests that these changes are part of a cultural evolutionary process initiated by the replacement of largely kin‐based communities with social groups consisting largely of non‐kin. Kin have an interest in encouraging one another to behave in ways consistent with the pursuit of reproductive success, and a high level of social exchange between kin will tend to maintain norms that prescribe such behaviors. When social exchange between kin is reduced, these norms begin to relax. Cross‐national comparisons of measures that reflect attitudes and behavior support the hypothesis by showing that cultural differences between countries can be substantially explained by their position on a cultural continuum that begins with social networks widening so that they become less kin‐based.     

Social capital and women's reduced vulnerability to HIV infection in rural Zimbabwe

Social capital—especially through its “network” dimension (high levels of participation in local community groups)—is thought to be an important determinant of health in many contexts. We investigate its effect on HIV prevention, using prospective data from a general population cohort in eastern Zimbabwe spanning a period of extensive behavior change (1998–2003). Almost half of the initially uninfected women interviewed were members of at least one community group. In an analysis of 88 communities, individuals with higher levels of community group participation had lower incidence of new HIV infections and more of them had adopted safer behaviors, although these effects were largely accounted for by differences in socio-demographic composition. Individual women in community groups had lower HIV incidence and more extensive behavior change, even after controlling for confounding factors. Community group membership was not associated with lower HIV incidence in men, possibly refecting a propensity among men to participate in groups that allow them to develop and demonstrate their masculine identities—often at the expense of their health. Support for women's community groups could be an effective HIV prevention strategy in countries with large-scale HIV epidemics.     

Influence of Proximity to Kin on Residential Mobility and Destination Choice: Examining Local Movers in Metropolitan Areas

A growing body of research has examined how family dynamics shape residential mobility, highlighting the social—as opposed to economic—drivers of mobility. However, few studies have examined kin ties as both push and pull factors in mobility processes or revealed how the influence of kin ties on mobility varies across sociodemographic groups. Using data on local residential moves from the Panel Study of Income Dynamics (PSID) from 1980 to 2013, we find that location of noncoresident kin influences the likelihood of moving out of the current neighborhood and the selection of a new destination neighborhood. Analyses of out-mobility reveal that parents and young adult children living near each other as well as low-income adult children living near parents are especially deterred from moving. Discrete-choice models of neighborhood selection indicate that movers are particularly drawn to neighborhoods close to aging parents, white and higher-income households tend to move close to parents and children, and lower-income households tend to move close to extended family. Our results highlight the social and economic trade-offs that households face when making residential mobility decisions, which have important implications for broader patterns of inequality in residential attainment.     

Coresidential Patterns in Historical China: A Simulation Study

The controversy regarding China's historical residential patterns is related to the lack of investigation into demographic influences on past kinship structures and household formation. This study uses computer micro‐simulation to examine demographic feasibility of people living in large multi‐generation households under the demographic conditions close to those recorded in Chinese history. It investigates both the composition of households in which individuals live at a particular point in their life course and the transition in their household structure and the length of time they spend in households of different types. The simulation exercise suggests that demographic regimes and household formation systems similar to those operating in China in the past produce diverse residential patterns, in which individuals could experience different household forms at different stages of the life cycle.     

Old age and the demographic transition

Summary This paper examines the impact of the demographic transition upon the potential supply of, and demand for, family support for the aged in Australia. Using census and survey information on population cohorts entering old age, comparisons are drawn concerning their surviving issue, household composition and family membership. Long-term changes in fertility are shown to have had only a small impact upon the supply of potential carers among relatives and, although the demographic transition has led to a more universal inclusion of old people in family networks, there have not been major changes through time in the proportions living in extended family households. Short-term changes, however, such as low fertility during the 1930s, have caused disordered cohort flow, with the result that current generations of the elderly are members of deprived cohorts in terms of their access to family support.     

Rurality and well-being during the middle years of life

Popular stereotypes and theorizing by social scientists suggest that rural people are more satisfied with their communities and happier with their life situations than are their nonrural counterparts. This enhanced well-being is believed to result at least partly from the presence of kinship and friendship ties in the local community and the adherence to traditional religious beliefs. Data from a panel study of nearly 1200 middle aged persons from Pennsylvania surveyed in 1971 and 1984 provided indices of community satisfaction and happiness. When income was controlled, country residents expressed slightly higher levels of community satisfaction than did town or urban dwellers in both time periods. Happiness was not related to residence location. Income was a relatively more important predictor of community satisfaction and happiness among urban than among country residents, while number of friends was relatively more important for rural residents. Number of kin living nearby and adherence to traditional religious beliefs were not related to well-being regardless of residence location.     

Urban dominance,ecology and community well-being in a Philippine region

There is a strong difference of opinion concerning whether the effects of urban centers are generally beneficial or deleterious to outlying communities. Based on a sample of seventy-three barrios in Cavite Province, this paper examines several basic features of community organization to determine what effects Manila's dominance exerts. The Manila-Cavite metropolitan region is further complicated by a pronounced highland—lowland division. Land tenure, occupational structure, political activity, indebtedness, and measures of community well-being give evidence of both positive and negative effects. However, Manila's dominance does not correspond to uniform gradient patterns. Due to sharp ecological differences, the impact of the city varies between highland and lowland barrios. The fairest conclusion able to be drawn from the evidence is that contact with the city is indispensible and in many ways beneficial, but these benefits are often counterbalanced by economic and social costs for certain communities.     

First Politics,Then Culture: Accounting for Ethnic Differences in Demographic Behavior in Kenya

Ethnic differences in demographic behavior tend to be disguised behind analytically opaque labels like “district” or “region,” or else subjected to simplistic cultural explanations. Drawing on new political economy, sociological theory and the political science literature on sub‐Saharan Africa, this article proposes an alternative explanatory model and tests it empirically with reference to Kenya. Access to political power and, through power, access to a state's resources—including resources devoted to clinics, schools, labor opportunities, and other determinants of demographic behavior—are advanced as the key factors underlying ethnic differences. District‐level estimates of “political capital” are introduced and merged with two waves of Demographic and Health Survey data. The effects on models of contraceptive use are explored. Results confirm that measures of political capital explain residual ethnic differences in use, providing strong support for a political approach to the analysis of demographic behavior.