Impact of child health and disability on subsequent maternal fertility

The prevalence of chronic conditions among children has been rising in the past four decades. Despite the policy relevance and plausible mechanisms through which child disability and severe early life health conditions can impact subsequent maternal reproductive behavior, there has been limited investigation of this question particularly in the US. Child disability or severe early life health problems such as very preterm birth (VPTB) and very low birth weight (VLBW) can constrain household resources to have another child but may also increase parental demand for healthy children and modify allocation of resources between children. Empirical assessment of this question is complicated by unobservables such as maternal health and preferences. We examine whether giving birth to a child with disabilities or severe adverse birth outcomes including VPTB and VLBW impacts subsequent maternal fertility. We employ a mother fixed-effect duration model for maternal fertility over time as a function of the proportion of previously born children with disabilities/health conditions in order to account for time-invariant unobservables, using merged data from the 1993 National Health Interview Survey and 1995 National Survey of Family Growth. We find no evidence that having disabled children reduces subsequent live births when using the mother fixed-effect model, in contrast to the classical model using within and between mother variation which suggests a fertility decline. Similarly, we find no evidence that having VPTB or VLBW children reduces fertility. Overall, our findings indicate no impact of child disability or health conditions on subsequent maternal fertility. Additional analyses excluding women who may qualify for AFDC show overall a similar pattern of results, suggesting that the findings may be generalizable post the AFDC. Time-varying unobservables may still be at work, but they likely result in an opposite (negative) bias toward reduction in fertility.     

Mental Health Knowledge Gaps in the Child Protection Work with Parents: A Narrative Review of the Social Work Literature

This is a narrative review of the latest peer-reviewed social work literature on the child protection work with parents. Aiming to identify knowledge gaps, the study researches the mental health aspects of the implicit or explicit theoretical perspectives underpinning the assessment and intervention with parents. An electronic database search extracted 38 peer-reviewed journal articles. It was found that the theoretical perspectives the publications adopted were the managerial, the critical, the humanistic, the psychodynamic and the behavioural. The study identified mental health knowledge gaps in the assessment and intervention work with parents across all theoretical perspectives and stressed the need for process and effectiveness studies on the work with parents, under explicit theoretical perspectives. The study finally highlights the need for the social work profession to increase its mental health literacy through mental health education for students and practitioners alike.     

Insignificant Betas and the Efficacy of the Sharpe Diagonal Model for Portfolio Selection*

When both practitioners and theorists apply Sharpe's diagonal model [15] to simplify the portfolio selection problem, they assume that the entire covariation structure of each stock (i.e., with all other stocks) is captured in that stock's covariance with the market (or β). Furthermore, it is well known that the selection algorithm itself has a marked tendency to select stocks with the lowest βs, ceteris paribus. When a stock's β is statistically indistinguishable from zero, it is an empirical issue whether the market model is (a) less appropriate for that particular stock relative to those with statistically significant βs; or is (b) a viable model in that the covariance of this stock's rate-of-return with all other stocks' rates-of-return vanishes. The objective of this paper is to distinguish empirically between (a) and (b), and to propose a heuristic which will improve the ex-post performance of the diagonal model. The possible benefits of this heuristic are also demonstrated in a rigorous statistical framework.     

Vegetation structure along urban ephemeral streams in southeastern Arizona

Riparian areas in Arizona are being encroached upon by urban developments. This study investigated the impacts of different urban housing densities on riparian vegetation structure along ephemeral streams. Nine sites representing three levels of housing density were selected within the town of Marana, located in southeast Arizona. The housing densities were categorized as high (7–8 houses ha^?1), moderate (2.5–4.5 houses ha^?1), and low (< 1.5 houses ha^?1). Each treatment had three replications. The urban developments were relatively young (less than 15 years). No significant differences were found among the treatments for the tree variables (density, height, mean canopy volume and total canopy volume) or the herbaceous vegetation variables (species richness, percentage of introduced species and percentage of ground cover). However, the shrub variables (mean density, mean height, mean canopy volume, total canopy volume and species richness) showed some significant differences. Shrub density and species richness was significantly greater adjacent to ephemeral channels than just three meters upland. In addition, whitethorn acacia shrubs were significantly taller and larger adjacent to the stream channels in the high and moderate housing density sites than in the low housing density sites. Creosote shrubs showed the opposite trend. Increased runoff in the more heavily urbanized streams may have promoted the growth of the facultative riparian species (whitethorn acacia) but not the non-riparian species (creosote). Overall, in these young developments, vegetation was resilient across the levels of urbanization explored in the study.     

The health effects of caregiving by grandparents in Taiwan: an instrumental variable estimation

Previous research on the health effects of caring for grandchildren has had variable findings, including both positive and negative effects on the health of grandparents. The estimated effects of caregiving may be affected by selection, with the health of grandparent affecting the likelihood of undertaking caregiving. The health effects of caregiving also likely differ according to the cultural motivations for caregiving by grandparents. This paper assesses whether selection into caring for grandchildren affects the estimated effects of caregiving on the health of Taiwanese grandparents. We used four waves (1993?C2003) of the Survey of Health and Living Status of the Elderly in Taiwan to estimate the effect of grandparent caregiving on self-rated health, mobility, and depression. To control for unobserved selection into caregiving, we employed time-varying instrumental variables (the number of grandchildren and marital status of adult children) in addition to person fixed effects. After adjusting for baseline differences, caregivers had better self-rated health, fewer mobility limitations, and fewer depressive symptoms compared to the non-caregivers, which suggest evidence of health improvement for grandparents. Instrumental variable analysis showed that caring for grandchildren was endogenously determined with grandparents?? mobility limitations, and grandparent caregivers benefited from a significant reduction in the number of mobility limitations. Our finding suggests that caring for grandchildren can be beneficial for the health of Taiwanese grandparents and supports our hypothesis that a culturally expected role of caregiving results in role enhancement.     

Part II: differences between sexually victimized and nonsexually victimized male adolescent sexual abusers and delinquent youth: further group comparisons of developmental antecedents and behavioral challenges

In a recent paper published in the Journal of Child Sexual Abuse, we assessed the differences between sexually victimized and nonsexually victimized male adolescent sexual abusers ( Burton, Duty, & Leibowitz, 2011 ). We found that the sexually victimized group had more severe developmental antecedents (e.g., trauma and early exposure to pornography) and behavioral difficulties (sexual aggression, arousal, pornography use, and nonsexual offenses). The present study compares sexually victimized and nonsexually victimized adolescent sexual abusers with a group of nonsexually victimized delinquent youth. Findings included that delinquent youth had fewer behavioral and developmental problems than the comparison groups. In addition, sexually victimized sexual abusers had the highest mean scores on trauma and personality measures. Implications for research and treatment are offered.     

Foreign architectural and engineering design firms’ competitiveness and strategies in China: A diamond model study

There is an increasing number of Foreign Architectural and Engineering Design Firms (FAEDFs) operating in China as a result of the Chinese government’s efforts to open its construction market to the international community. These FAEDFs face competition from both local and foreign rivals. This study aims to investigate the competitiveness of FAEDFs in the dynamic environment of the Chinese construction market. The diamond model technique is adopted to reveal the development mechanisms for the competitiveness of FAEDFs in China. Data used in the analysis comes from multiple sources including literature survey and interviews conducted at two major cities (i.e. Shanghai and Beijing). Key factors that need to be considered during the formation of strategies for FAEDFs in China are highlighted. The research indicates that there are a number of factors contributing to or impeding the development of the competitiveness of FAEDFs in China. The elements identified in the Diamond model analysis provide critical inputs for FAEDFs to formulate strategies to survive and sustain growth in China.     

ON THE IMPLICATIONS OF SPECIFICATION UNCERTAINTY IN FORECASTING*

Forecasters typically select a statistical forecasting model from among a set of alternative models. Subsequently, forecasts are generated with the chosen model and reported to management (forecast consumers) as if specification uncertainty did not exist (i.e., as if the chosen model were the “true” model of the forecast variable). In this note, a well-known Bayesian model-comparison procedure is used to illustrate some of the ambiguities and distortions of forecasts that do not reflect specification uncertainty. It is shown that a single selected forecasting model (however chosen) will generally misstate measures of forecast risk and lead to point and interval forecasts that are misplaced from a decision-theoretic point of view.