Divorced Fathers’ Proximity and Children’s Long-Run Outcomes: Evidence From Norwegian Registry Data

This study examines the link between divorced nonresident fathers’ proximity and children’s long-run outcomes, using high-quality data from Norwegian population registers. We follow (from birth to young adulthood) each of 15,992 children born into married households in Norway in the years 1975–1979 whose parents divorced during his or her childhood. We observe the proximity of the child to his or her father in each year following the divorce and link proximity to educational and economic outcomes for the child in young adulthood, controlling for a wide range of observable characteristics of the parents and the child. Our results show that closer proximity to the father following a divorce has, on average, a modest negative association with offspring’s outcomes in young adulthood. The negative associations are stronger among children of highly educated fathers. Complementary Norwegian survey data show that highly educated fathers report more post-divorce conflict with their ex-wives as well as more contact with their children (measured in terms of the number of nights that the child spends at the father’s house). Consequently, the father’s relocation to a more distant location following the divorce may shelter the child from disruptions in the structure of the child’s life as they split time between households and/or from post-divorce interparental conflict.     

Embedding latent class regression and latent class distal outcome models into cluster-weighted latent class analysis: a detailed simulation experiment

Usually in latent class (LC) analysis, external predictors are taken to be cluster conditional probability predictors (LC models with external predictors), and/or score conditional probability predictors (LC regression models). In such cases, their distribution is not of interest. Class-specific distribution is of interest in the distal outcome model, when the distribution of the external variables is assumed to depend on LC membership. In this paper, we consider a more general formulation, that embeds both the LC regression and the distal outcome models, as is typically done in cluster-weighted modelling. This allows us to investigate (1) whether the distribution of the external variables differs across classes, (2) whether there are significant direct effects of the external variables on the indicators, by modelling jointly the relationship between the external and the latent variables. We show the advantages of the proposed modelling approach through a set of artificial examples, an extensive simulation study and an empirical application about psychological contracts among employees and employers in Belgium and the Netherlands.     

GMM in linear regression for longitudinal data with multiple covariates measured with error

Griliches and Hausman 5 Griliches, Z. and Hausman, J. A. 1986. Errors in variables in panel data. J. Econometrics, 32: 93–118. [Crossref], [Web of Science ®] [Google Scholar] and Wansbeek 11 Wansbeek, T. J. 2001. GMM estimation in panel data models with measurement error. J. Econometrics, 104: 259–268. [Crossref], [Web of Science ®] [Google Scholar] proposed using the generalized method of moments (GMM) to obtain consistent estimators in linear regression models for longitudinal data with measurement error in one covariate, without requiring additional validation or replicate data. For usefulness of this methodology, we must extend it to the more realistic situation where more than one covariate are measured with error. Such an extension is not straightforward, since measurement errors across different covariates may be correlated. By a careful construction of the measurement error correlation structure, we are able to extend Wansbeek's GMM and show that the extended Griliches and Hausman's GMM is equivalent to the extended Wansbeek's GMM. For illustration, we apply the extended GMM to data from two medical studies, and compare it with the naive method and the method assuming only one covariate having measurement error.     

Variability explained by covariates in linear mixed‐effect models for longitudinal data

Variability explained by covariates or explained variance is a well‐known concept in assessing the importance of covariates for dependent outcomes. In this paper we study R² statistics of explained variance pertinent to longitudinal data under linear mixed‐effect models, where the R² statistics are computed at two different levels to measure, respectively, within‐ and between‐subject variabilities explained by the covariates. By deriving the limits of R² statistics, we find that the interpretation of explained variance for the existing R² statistics is clear only in the case where the covariance matrix of the outcome vector is compound symmetric. Two new R² statistics are proposed to address the effect of time‐dependent covariate means. In the general case where the outcome covariance matrix is not compound symmetric, we introduce the concept of compound symmetry projection and use it to define level‐one and level‐two R² statistics. Numerical results are provided to support the theoretical findings and demonstrate the performance of the R² statistics. The Canadian Journal of Statistics 38: 352–368; 2010 © 2010 Statistical Society of Canada     

Monitoring Optimism in South Africa

The last two decades have been the most crucial and eventful ones in South Africa's history. During this time, the empirical research and knowledge provided by opinion polls yielded much-needed insight into the grass roots of a society in transition, providing an instrument with which to measure the political climate, to observe trends and developments, and to give input into the decision-making process of companies and political parties. Although the process of change and political transition still remains difficult to define properly, this article will provide some insight into the attitudes, perceptions and values of the South African public, by giving attention to trends that have transpired over the years. Special attention is devoted to perceptions on pertinent issues such as the mood in the country, optimism, economic well-being, social harmony and trust – all essential elements in an emerging democracy. Extensive use is made of data and findings of Markinor's bi-annual Socio-Political Trends surveys, the World Values Studies and the annual Gallup End-of-Year Poll.     

The Impact of Childhood Sexual Abuse on Later Sexual Victimization among Runaway Youth

Path analysis was used to investigate the impact of childhood sexual abuse on later sexual victimization among 372 homeless and runaway youth in Seattle. Young people were interviewed directly on the streets and in shelters by outreach workers in youth service agencies. High rates of both childhood sexual abuse and street sexual victimization were reported, with females experiencing much greater rates compared with their male counterparts. Early sexual abuse in the home increased the likelihood of later sexual victimization on the streets indirectly by increasing the amount of time at risk, deviant peer affiliations, participating in deviant subsistence strategies, and engaging in survival sex. These findings suggest that exposure to dysfunctional and disorganized homes place youth on trajectories for early independence. Subsequently, street life and participation in high‐risk behaviors increases their probability of sexual victimization.     

South Africa's 'Rainbow People', National Pride and Happiness

Since the first free elections were held in April 1994, South Africans are popularly known as the 'rainbow people'. The paper inquires whether South Africans who experienced pride in their nation in the first years of democracy also perceived a greater sense of subjective well-being. It is proposed that national pride in post-apartheid South Africa might be fused with or work through self-esteem to lift levels of happiness. The paper traces the history of the new integrating civil religion of the rainbow people and the acceptance of the rainbow as a political symbol of unity among the diverse people of South Africa immediately after the 1994 elections and two years later. The proposed link between national pride and happiness was explored with data from two independent national surveys, the 1995 South African World Values Survey conducted by Markinor and a June 1996 MarkData syndicated omnibus survey. The study found that the appeal of the rainbow as political symbol was inclusive of all groups in society and that feelings of national pride and support for the rainbow ideal were positively associated with subjective well-being. As indicated by intensity and frequency measures, the majority of South Africans were proud of their country and could name a national achievement that inspired pride. Better-off South Africans tended to be happier and more satisfied with life but less proud, while the poor were less happy but fiercely proud of their country. Results suggest that belief in South Africa's 'rainbow nation' ideal may have assisted in boosting happiness during the transition to a stable democracy, thereby preventing alienation among the losers under the new political dispensation. Supporters of the ideal of the rainbow nation were more optimistic than others about the future of their country.     

Green Care services in the Nordic countries: an integrative literature review

This article reviews Nordic literature on Green Care for people out of work or school, or with mental health- and/or drug-related problems, published from 1995 to April 2014. Green Care is a well-established international concept that uses animals, plants and nature in an active process to offer health-promoting activities for people. Reports, evaluations and scientific articles are included. The main finding was that the Green Care services described in the literature provided positive activities for our target group. Seven main categories emerged during the analysis: mastery and coping, positive effects on mental health, physical activity, structure and meaningfulness, the feeling of dignity produced by performing a decent ordinary job, social gains, animals and nature experienced as being supportive. Essential intervention factors identified can be described as: (i) contact with animals, (ii) supportive natural environments, (iii) the service leader as a significant important other, (iv) social acceptance and fellowship with other participants and (v) meaningful and individually adapted activities in which mastery can be experienced. These five components interact in a holistic way; the synergetic effects extend the sum of the single factors.