Child and Family Outcomes in New York and Tel AVIV: Using Social Indicators in a City Level Comparative Analysis

This article presents a comparative study in which social indicators were employed as a means to examine differences in living conditions and family and children outcomes on a local level. The study obtained household-level data on the well-being of children and families in two cities: New York (NYC) and Tel Aviv (TLV). Data were collected using computer assisted telephone interview (CATI) technology and random digit dialing (RDD). Telephone interviews were conducted with the randomly selected adults in English, Spanish and Chinese in NYC and in Hebrew in TLV. The study reported here documented differences in family and child well-being between the two cities. It further documented that family size and caregiver level of education play a similar role in both cities and their importance in regard to child and family outcomes. The significant differences found in adults’ and especially children’s outcomes were analyzed by the caregiver’s level of education and further support the need for policies that alleviate the burden of less educated caregivers and aim to improve the well-being of them and their families. The study demonstrates the relevance of social indicators at the local level, not only for measuring outcomes among specific populations, but also in regard to their possible implications for social policies, a most timely task in an era of social services devolution.     

Family structure and the transition to early parenthood

With the rise in out-of-wedlock childbearing and divorce in the last quarter of the twentieth century, an increasing proportion of children have been exposed to a variety of new family forms. Little research has focused on the consequences of childhood family structure for men’s transition to fatherhood or on the family processes that account for the effects of family structure on the likelihood that young women and men become first-time unmarried parents, what we now call “fragile families.” The data come from the linked Children and Young Adult samples of the 1979 National Longitudinal Survey of Youth (NLSY79), which provide information on the children of the women of the NLSY79 from birth until they enter young adulthood. Females growing up with a single parent and males experiencing an unstable family transition to parenthood early, particularly to nonresidential fatherhood for males. For males, the effects are strongly mediated by parenting processes and adolescent behaviors and are shaped by economic circumstances. Having experienced multiple transitions as a child is associated with a reduced likelihood that males father their first child within marriage and an increased likelihood that they become fathers within cohabitation, demonstrating how changes in family structure alter family structure patterns over time and generations.     

A Sociodemographic Risk Index

In this paper, we conceptualize and develop an index of sociodemographic risk that we hypothesize will be an improvement over the standard poverty measure as a measure of risk for children’s development. The poverty line is widely used in government statistics and in research but is also widely acknowledged to have multiple shortcomings. Using recent data from the National Survey of America’s Families, we develop and examine a Sociodemographic Risk Index for two potential purposes: (a) to serve as a summary indicator of children’s environments that affect their well-being, and (b) to serve as a variable that can be used to identify at-risk subgroups of children whose well-being should be examined separately in indicator reports. Based on substantial research on children’s development, we chose five variables for the index: family income, family structure, parent education, family size, and home ownership. An additive sociodemographic risk index using these variables is strongly associated with multiple measures of child well-being in both bivariate and multivariate analyses. Hence, it serves as a good marker of risk for children and therefore as an indicator that could be monitored over time, across groups, and across places, as well as a variable that could be used to identify subgroups of at-risk children whose well-being should be monitored. However, analyses do not indicate that it performs better at identifying at-risk children than the current poverty measure. Therefore, we recommend the Sociodemographic Risk Index primarily as an additional summary indicator to be monitored, rather than as a replacement for the poverty measure.     

Theorizing indicators

Policymakers and social theorists have increasingly come to rely on social indicators to guide their decisions and theories. Social indicators are also useful in bridging theory and empirical research as well as the traditional gap between policymaking and social theory. The concept of social indicators covers interpretation of cultural signs, simple statistical measures, and complex statistical indexes related to sets of domains. The article views the development of child well-being indicators as central not only in the social welfare field, but as an indicator of future societal conditions, given that children’s lives are especially sensitive to social change. The paper addresses the development of indicators of children’s well-being, arguing that the expansion of the field, the complexity of new domains and indicators, and the position of children as “being” and “becoming”, they are citizens of the present as well as being socialized for the future, illustrates that the next crucial step for the field is to further elaborate theories and models.     

Work disability and migration in the early years of welfare reform

The inter- and intra-state migration of American families with work-disabled members is a neglected area of empirical study. Longitudinal migration and health status data from the 1996 Panel of the Survey of Income and Program Participation (SIPP) are merged with state-level welfare policy indicators to investigate migration behavior under welfare reform’s emphasis on requiring work and encouraging reliance on social support networks. We use a nested discrete-choice event history model that incorporates the departure decision and interstate destination choice in a single model that tests the effects of state-level welfare policy and economic opportunity characteristics, with state fixed effects, plus family sociodemographic characteristics and social networks, as the basis for comparing migration of families with and without work disabilities. The results show that although families with disabilities and illnesses are less likely to migrate than other families generally, they are “pushed” to migrate if they live in states that do not exempt them from TANF activities requirements. Furthermore, in-migration is inhibited by stringent state welfare illness exemption rules and high state unemployment rates. Intrastate migration is more likely among families who received family and community social support, regardless of work-disability status.     

Utilizing relationship matrices to better understand the diversity of household arrangements among romantic couples: A cross-country example

Changes in families over the past thirty years have created methodological challenges for research on family variation. Some argue that standard survey methods used for collecting data on families have been outpaced by the transformation of families and hence estimates of family variation are maccurate and opportunities for cross-country comparisons of family variation are hampered. This situation is rectifiable through greater use of relationship matrices. This underused data collection method can precisely portray family variation and facilitate cross-country comparisons. To illustrate the method’s usefulness for family research, relationship matrices data on young persons from Australia and the United States are exploited to: depict individuals’ living arrangements; identify patterns in partnering and childbearing; describe demographic diversity across types of couples; and compare family variation across countries.     

Measuring Youth Development: A Nonparametric Cross-Country ‘Youth Welfare Index’

This paper develops an empirical methodology for the construction of a synthetic multi-dimensional cross-country comparison of the performance of governments around the world in improving the livelihood of their younger population. The devised ‘Youth Welfare Index’ is based on the nonparametric Data Envelopment Analysis (DEA) methodology and allows for cross-country benchmarking and comparison over time. The value added of the youth index is to produce country-specific rankings and trace performance evolution with respect to indicators solely centered on youth, unlike other development indicators like the Human Development Index (HDI) which bundles many social and development indicators.

An Introduction to ‘Benefit of the Doubt’ Composite Indicators

Despite their increasing use, composite indicators remain controversial. The undesirable dependence of countries’ rankings on the preliminary normalization stage, and the disagreement among experts/stakeholders on the specific weighting scheme used to aggregate sub-indicators, are often invoked to undermine the credibility of composite indicators. Data envelopment analysis may be instrumental in overcoming these limitations. One part of its appeal in the composite indicator context stems from its invariance to measurement units, which entails that a normalization stage can be skipped. Secondly, it fills the informational gap in the ‘right’ set of weights by generating flexible ‘benefit of the doubt’-weights for each evaluated country. The ease of interpretation is a third advantage of the specific model that is the main focus of this paper. In sum, the method may help to neutralize some recurring sources of criticism on composite indicators, allowing one to shift the focus to other, and perhaps more essential stages of their construction. An abridged version of this paper was presented at the Workshop on European Indicators and Scoreboards, organised by DG Education and the Joint Research Centre within the auspices of CRELL, in Brussels, October 24–25, 2005.     

Educational attainment of children from single-parent families: Differences by exposure,gender, and race

This article examines the effect of living in a single-parent family on educational attainment by gender and race. According to household production theory, the reduction in parental resources for human capital investment in children living in a single-parent family should lower their educational attainment. Using matched mother-daughter and mother-son samples from the National Longitudinal Surveys, we constructed precise measures of the age and length of time a child lived in a single-parent family. Empirical findings show that the negative effect of living in a single-parent family (1) increases with the number of years spent in this type of family, (2) is greatest during the preschool years, and (3) is larger for boys than girls.     

Happiness is not Enough: Cognitive Judgements as Indicators of National Wellbeing

The European Social Survey, on which this issue of the journal focuses, is a 30-nation multi-funded survey series measuring attitude change. Started in 2001, it is characterised by unusually high standards of sampling and data equivalence. Its data are made available on-line with equal access to all, and have already attracted over 20,000 users. Many papers, articles and books based on the ESS have already appeared. But none has yet employed the data—whether alone or with other sources—to derive indicators of citizens’ cognitive judgements of their society. A recent EC grant is enabling the authors to fill this gap, covering topics such as trust in national institutions, tolerance, social cohesion, social trust and fear of crime. The aim is to be able to monitor changes over time in the distance between what citizens believe their society ought to be in these respects and how they actually perceive it to be.

Limited Income Mobility: Empirical Evidence from Korea

Longitudinal child cohort studies collect large amounts of information about children’s families and the types of activities they participate in. With such a broad array of information to select from, researchers investigating aspects of the family environment may be overwhelmed by the choices available if they only need summary measures reflecting domains of the family environment. Using data from the Longitudinal Study of Australian Children, this study aimed to derive and assess summary indices of three domains of the family environment, including a Family Stress Index, Home Education Index and Parenting Index. Indices were derived by identifying a set of candidate indicators, dichotomising the indicators to determine elements of risk, then averaging across the dichotomised items to create measures that captured cumulative risk. Assessments of the three indices suggest that the measures are consistent across time, and have good predictive validity with socioeconomic measures and assessments of children’s social-emotional wellbeing and learning outcomes. Structural equation models estimating children’s outcomes suggested that models using the indices had comparable model fit to models using the broader array of variables used to construct the indices, but the Parenting Index in particular explained less variation in children’s problem behaviour outcomes. Overall, the family environment indices derived in this study may be useful for researchers wishing to simplify complex models or explore the circumstances of children exposed to multiple risks, but less useful in analyses where the primary goal is to explain variance in children’s developmental outcomes.     

Parenting a child with a disability: An examination of resident and non-resident fathers

Children with disabilities often require, more extensive family involvement and greater paternal support than other children. Yet these children are the children least likely to live with their fathers. This paper uses data from the National Longitudinal Survey of Youth 1997 from the United States to examine the association between child disability and resident and non-resident biological fathers’ supportiveness, relationship, and monitoring of their children. Regression analyses indicate significant challenges for all fathers of children with disabilities. Children of resident fathers report more positive interactions than children of non-resident fathers. However, earlier co-residence and more frequent contact significantly improve the quality, of father-youth relationships among men who do not live with their children.     

Longitudinal determinants of mobility: new evidence for Indigenous children and their carers

In this paper, I used data from Wave 1 and Wave 2 of the Longitudinal Study of Indigenous Children (LSIC) to look at the factors associated with the probability of an Indigenous child and their carer changing usual residence over a (roughly) one-year timespan. A number of new insights emerge from the analysis. First, those carers of Indigenous children who changed usual residence in the year leading up to Wave 1 of the LSIC were more likely to change usual residence again in the year (or so) that followed. Second, the older the carer, the lower the probability of moving, reflecting the lifecourse patterns of mobility. Third, those who lived in mixed Indigenous and non-Indigenous households had higher levels of mobility than those who lived in Indigenous-only households. The fourth main insight was that the characteristics of one’s dwelling seem to be more important factors in explaining population movement than the characteristics of the area in which one lives. Arguably, the most important insight from the paper is the ability of longitudinal data like the LSIC to provide answers to important policy questions.     

Life is Getting Better: Societal Evolution and Fit with Human Nature

Human society has changed much over the last centuries and this process of ‘modernization’ has profoundly affected the lives of individuals; currently we live quite different lives from those forefathers lived only five generations ago. There is difference of opinion as to whether we live better now than before and consequently there is also disagreement as to whether we should continue modernizing or rather try to slow the process down. Quality-of-life in a society can be measured by how long and happy its inhabitants live. Using these indicators I assess whether societal modernization has made life better or worse. Firstly I examine findings of present day survey research. I start with a cross-sectional analysis of 143 nations in the years 2000–2008 and find that people live longer and happier in today’s most modern societies. Secondly I examine trends in modern nations over the last decade and find that happiness and longevity have increased in most cases. Thirdly I consider the long-term and review findings from historical anthropology, which show that we lived better in the early hunter-gatherer society than in the later agrarian society. Together these data suggest that societal evolution has worked out differently for the quality of human life, first negatively, in the change from a hunter-gatherer existence to agriculture, and next positively, in the more recent transformation from an agrarian to an industrial society. We live now longer and happier than ever before.     

An Index of the Condition of Children: The Ideal and a Less-than-Ideal U.S. Example

This paper uses recent data on U.S. children from the National Survey of America’s Families (NSAF) to create indices that tally the number of problems or risks that individual children experience. We compare results with those from indices developed elsewhere that assess the change across sets of population-level indicators. While the two types of indices show similar trends over time, specific changes, as well as trends, depend on the specific domain of well-being or context examined, highlighting the importance of the distinction between well-being and context. Children with problems in multiple domains tend to be socio-economically and demographically disadvantaged compared with other children. We preface this work by providing an overview of the history of child well-being indicators and distinguish indices of child well-being from indices of the condition of children.

Nativity,duration of residence and the life course pattern of extended family living in the USA

Recent changes in US immigration policy anddomestic welfare policies affecting immigrants haveled to concerns that families will face greaterpressure to provide for extended family members.Extended family households are important resources fornew immigrants to the USA and an integral part of theadaptive strategy of immigrants. This paper examinesthe competing roles of duration of residence in theUSA, aging and changes over time in explainingincreases in extended family living between 1980 and1990. The results from a pooled sample of 1980 and1990 Census data indicate that recent arrivals aremore likely to share households with extended kin butit is older immigrants who face an increasedlikelihood of such coresidence over time. Multinomiallogistic regression analysis demonstrates that thelife course pattern of coresidence remains whenchanges in socioeconomic status are controlled. Theresults suggest that policy changes limiting publicfunds available to new arrivals will have a largerimpact on families sponsoring older family members.     

Patterns of nonresident father contact

We used the National Longitudinal Survey of Youth 1979 cohort (NLSY79) from 1979 to 2002 and the Children of the National Longitudinal Survey of Youth (CNLSY) from 1986 to 2002 to describe the number, shape, and population frequencies of U.S. nonresident father contact trajectories over a 14-year period using growth mixture models. The resulting four-category classification indicated that nonresident father involvement is not adequately characterized by a single population with a monotonic pattern of declining contact over time. Contrary to expectations, about two-thirds of fathers were consistently either highly involved or rarely involved in their children’s lives. Only one group, constituting approximately 23% of fathers, exhibited a clear pattern of declining contact. In addition, a small group of fathers (8%) displayed a pattern of increasing contact. A variety ofvariables differentiated between these groups, including the child’s age at father-child separation, whether the child was born within marriage, the mother’s education, the mother’s age at birth, whether the father pays child support regularly, and the geographical distance between fathers and children.     

Multiple-Indicator Multilevel Growth Model: A Solution to Multiple Methodological Challenges in Longitudinal Studies

This paper described the versatility of the multiple-indicator multilevel (MIML) model in helping to resolve four common challenges in studying growth using longitudinal data. These challenges are (1) how to deal with changes in measurement over time and investigate temporal measurement invariance, (2) how to model residual dependence due to the nested nature of longitudinal data, (3) how to model observed trajectories that do not follow well-known functions commonly discussed in the methodology literature (e.g., a linear or quadratic curve), and (4) how to decide which predictors are relatively more important in explaining individuals’ change over time. With an example of psychological well-being from the Wisconsin Longitudinal Study, we illustrated how the four methodological challenges can be resolved using the 3-phase MIML procedures and the Pratt’s importance measures.     

Ethnic disparities in social and economic well-being of the immigrant aged in Australia

The paper examines ethnic differences in the social and economic well-being of the immigrant aged in Australia and the factors affecting older immigrants’ well-being as measured by a number of indicators. The data analysis is guided by the concept of the ‘Third Age’ as the basis for a more positive approach to the discussion of ageing and as a life-cycle stage of independent living in old age, focusing on the pursuit of an active retirement and the absence of core activity restrictions. Data from the 2006 population census on living arrangements, need for assistance with daily activities, income, participation in paid work and volunteering, and provision of care to other family members are used to examine the social and economic well-being of the immigrant population aged 65 and over identified by their country or region of origin and in comparison with the Australian-born aged. Policy implications of the research findings are discussed.     

Dynamic Well-Being: Connecting Indicators of what People Anticipate with Indicators of what they Experience

There are many indicators of a person’s well-being that could be used for policy purposes. Few would argue that any single indicator of well-being is appropriate in all contexts and, increasingly, social scientists are attempting to integrate the various indicators. Further successful integration depends on understanding how the various indicators of well-being relate to one another in a dynamic way. This paper attempts to connect indicators of what people anticipate to indicators of what is actually experienced and, in so doing, inform the normative debate about the appropriateness of different indicators in policy contexts.