Downsizing Survival: The Experience of Work and Organizational Commitment

Although downsizing has become a common feature of American workplaces, the existing literature has focused on the effects of how downsizing is conducted, rather than considering how downsizing affects the experience of work for downsizing survivors. Using data from the 1997 National Employee Survey and structural modeling techniques, this study compares downsizing survivors and workers unaffected by downsizing on a variety of sociodemographic indicators, job characteristics, and organizational environment measures in order to explain the lower levels of organizational commitment among survivors. The model in which downsizing survival was directly and indirectly associated with commitment was generally supported. Survivors reported less commitment than unaffected workers. In addition, downsizing survival was positively associated with job-related stress and negatively associated with perceived organizational support, which translated into survivors' lower levels of commitment. This research suggests that organizations that downsize should consider ways to redesign work processes so as to reduce job-related stress and should engage in organizational practices that demonstrate organizational support for surviving employees.     

JOB STRESS, DRINKING NETWORKS, AND SOCIAL SUPPORT AT WORK:

Most research examining the problem drinking behaviors of employees has sought to demonstrate that variation in alcohol consumption derives from nonrewarding or stressful aspects of modern work that promote intrapsychic stress and/or alienation. These inquiries have ignored additional job factors that might influence employee drinking patterns. We extend this literature by developing and testing a comprehensive model of influences on employee problem drinking. The model includes the simultaneous influences of stressful working conditions, participation in job-based drinking networks, and perceived social support on the job. Analyses of data from the 1991 National Employee Survey (NES) indicate that this explanatory model significantly improves our understanding of the job-related influences on employee problem drinking. We also demonstrate that each class of job factors has important mediated influences on problem drinking that result from their association with individualized job escapist-oriented reasons for drinking.     

Fertility decline and gender bias in

Although it is widely acknowledged that the preference for sons is a barrier to a decline in fertility, considerable disagreement exists as to what actually happens to this preference when fertility declines in a region of low female autonomy. By analyzing the data from the National Family Health Survey (NFHS), we present evidence from northern India to show that the preference for sons is reduced when the ideal family size becomes small, even though it does not completely disappear. This finding appears to contradict trends in the juvenile sex ratio and the incidence of female feticide that suggest the intensification of gender bias. We argue that the anomaly is the result of a diffusion of prenatal sex-diagnostic techniques in regions where there is a large unmet demand for such methods. Using the NFHS data, we estimate that in northern India, girls currently constitute about 60% of the unwanted births and that the elimination of unwanted fertility has the potential to raise the sex ratio at birth to 130 boys per 100 girls.     

Low socioeconomic status increases effects of negative life events on antenatal anxiety and depression

Problem

Low socioeconomic status and prior negative life events are documented risk factors for antenatal anxiety and depression, preterm birth and birth weight. We aimed to asses whether the adverse effects of prior negative life events increase with lower socioeconomic status and which aspects of socioeconomic status are most relevant.

Home Street Home: The Interpersonal Dimensions of Adolescent Homelessness

This paper draws on the available literature, as well as unpublished data, to reconstruct the often chaotic early childhood experiences of homeless adolescents and to describe the problematic ways of relating that may result from these troubled life histories. We also examine the processes by which homeless youth become separated from their families, and we make connections between socio-emotional problems on the street and early neglect and abuse at home. The risk-amplification model is offered as a theoretically compelling explanation of the adolescent homeless experience, high rates of victimization on the streets, and mental health problems that arise out of these circumstances. Finally, we present a promising approach for intervening with homeless youth, one that explicitly targets this cycle of ineffective interpersonal relationships.     

Solitary Time and Mental Health in the Netherlands

Whereas prior research focused on the beneficial effects of time spent with others, this study investigated the association between solitary time and mental health by hypothesizing about the possible detriments as well as benefits. Additionally, we studied whether the association between solitary time and mental health was nonlinear and moderated by gender and life stage. We hypothesized that whereas solitary time limits individuals’ access to social resources and support (decreasing mental health), it also helps individuals to recharge (enhancing mental health). We used the Dutch Time Use Survey from 2006 (N = 1,487). Results of Tobit models indicated that more solitary time in leisure (but not household labor) was associated with a reduction in mental health. For men, we did find a negative association between alone time in household labor and mental health. There was no evidence for a curvilinear relationship between time alone and mental health, nor did life course stage appeared to moderate this association.     

Challenges of Forest Governance: the Case of Forest Rehabilitation in Vietnam

Public Organization Review - Building upon the perspectives of the policy arrangement approach, this article explores the extent to which forest governance has changed under the two national...     

Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models

In this paper, efficient importance sampling (EIS) is used to perform a classical and Bayesian analysis of univariate and multivariate stochastic volatility (SV) models for financial return series. EIS provides a highly generic and very accurate procedure for the Monte Carlo (MC) evaluation of high-dimensional interdependent integrals. It can be used to carry out ML-estimation of SV models as well as simulation smoothing where the latent volatilities are sampled at once. Based on this EIS simulation smoother, a Bayesian Markov chain Monte Carlo (MCMC) posterior analysis of the parameters of SV models can be performed.