The impact of religiousness, spirituality, and social support on psychological well-being among older adults in rural areas

This paper presents the results of a study on the impact of spirituality, religiousness, and social support on the psychological well-being among rural elderly. With a rural community sample of 215 older adults, hierarchical regression analyses found significant associations between dimensions of spirituality/religiousness, social support, and psychological well-being, with spirituality/religiousness inversely related to depression and social support, positively related to life satisfaction. Findings of this study suggest that practitioners need to develop programs or services that are congruent with religious/spiritual beliefs and practices in order to better enhance the psychosocial well-being and improve the quality of life among older persons in rural areas.     

Static Numbers to Dynamic Statistics: Designing a Policy-Friendly Social Policy Indicator Framework

In line with the economic crisis and rapid socio-demographic changes, the interest in ??social?? and ??well-being?? indicators has been revived. Social indicator movements of the 1960s resulted in the establishment of social indicator statistical frameworks; that legacy has remained intact in many national governments and international organisations. With this background, this research examines whether existing social indicator frameworks are valid and effective enough to address increasingly complex social issues. The authors argue that, despite some improvements, current social indicators fail to provide an effective framework and tool for measuring the progress of social welfare and also for developing or reforming social policy to cope with newly emerging social problems. While proposing a new social indicator framework based on the Organisation for Economic Co-operation and Development??s pressure-state-response (PSR) model, the paper argues that the new framework should be more than displaying static numbers but should use dynamic statistics revealing causes and effects and shedding light on social and policy changes.     

Alternative posterior consistency results in nonparametric binary regression using Gaussian process priors

We establish consistency of posterior distribution when a Gaussian process prior is used as a prior distribution for the unknown binary regression function. Specifically, we take the work of Ghosal and Roy [2006. Posterior consistency of Gaussian process prior for nonparametric binary regression. Ann. Statist. 34, 2413–2429] as our starting point, and then weaken their assumptions on the smoothness of the Gaussian process kernel while retaining a stronger yet applicable condition about design points. Furthermore, we extend their results to multi-dimensional covariates under a weaker smoothness condition on the Gaussian process. Finally, we study the extent to which posterior consistency can be achieved under a general model where, when additional hyperparameters in the covariance function of a Gaussian process are involved.     

Import competition and job displacement: A case study of Korean manufacturing industries

This paper investigates the impact of import competition on job displacement in Korean manufacturing industries. Using a regression model for the period of 1993–2003, the empirical results show that import competition raises the job displacement rate in the Korean manufacturing sector but the elasticity is negligible in its magnitude. Worker characteristics, such as gender, age, job tenure, and education level, proved to be significant in determining the displacement rate. Characteristics of displaced workers in high import-competing industries are also investigated based on the survey data. Workers who lost their jobs in these sectors were slightly older, less educated, and had longer job tenure than the workers in the other groups.     

Applicability of the Social Development Model to Urban Ethnic Minority Youth: Examining the Relationship between External Constraints,Family Socialization,and Problem Behaviors

The development of preventive interventions targeting adolescent problem behaviors requires a thorough understanding of risk and protective factors for such behaviors. However, few studies examine whether different cultural and ethnic groups share these factors. This study is an attempt to fill a gap in research by examining similarities and differences in risk factors across racial and ethnic groups. The social development model has shown promise in organizing predictors of problem behaviors. This article investigates whether a version of that model can be generalized to youth in different racial and ethnic groups (N=2,055, age range from 11 to 15), including African American (n=478), Asian Pacific Islander (API) American (n=491), multiracial (n=442), and European American (n=644) youth. The results demonstrate that common risk factors can be applied to adolescents, regardless of their race and ethnicity. The findings also demonstrate that there are racial and ethnic differences in the magnitudes of relationships among factors that affect problem behaviors. Further study is warranted to develop a better understanding of these differential magnitudes.     

Accelerated life regression modelling of dependent bivariate time‐to‐event data

To analyze bivariate time‐to‐event data from matched or naturally paired study designs, researchers frequently use a random effect called frailty to model the dependence between within‐pair response measurements. The authors propose a computational framework for fitting dependent bivariate time‐to‐event data that combines frailty distributions and accelerated life regression models. In this framework users can choose from several parametric options for frailties, as well as the conditional distributions for within‐pair responses. The authors illustrate the flexibility that their framework represents using paired data from a study of laser photocoagulation therapy for retinopathy in diabetic patients.     

Older Workers: Who are the working poor in the U.S.?

With data from the 2000 Health and Retirement Study (HRS), the purpose of this study was to provide a profile of older workers who live poverty, and to compare the demographic, financial, employment, and health attributes of such individuals to similar persons not living in poverty. This study found that 3.5% of employed individuals between the ages of 51 and 61 belonged to the class of working poor. The results of the multivariate logistic regression analyses indicated that the older working poor were more likely to be non-White, less educated, non-married, and had lower levels of net worth than the working non-poor. They were more likely to be employed part time and were less likely to be covered by employee-sponsored health insurance.     

Third Shift Women in Business-Owning Families

Using data from the 1997 National Family Business Survey (NFBS), this study identifies factors associated with married women’s employment involvement in business-owning families. While focusing on married women in a third shift situation—working for the family business, for the marketplace, and for managing the household—this study compares business and family characteristics by women’s employment status. The results of multinomial logit regression analysis indicated that family cash flow problems, presence of children age under 6, age of women, business assets, age of business, home-based family business, establishment of business, and industry type were significant predictors of women’s employment decision. The results of the study have further implications for women in a third shift situation among business-owning families.Yoon G. Lee, Utah State University, 2905 Old Main Hill, Logan, UT 84322-2905, USA; e-mail: yoonlee@cc.usu.edu.Gong-Soog Hong, The Ohio State University, 1787 Neil Avenue, Columbus, OH 43210-1295, USA; e-mail: ghong@hec.ohio-state.edu.Barbara R. Rowe, Utah State University, 2949 Old Main Hill, Logan, UT 84322-2949, USA; e-mail: browe@ext.usu.edu.     

Interest rate policies and inflation in interdependent economies: Recent policy dilemmas

This paper examines Federal Reserve Board policies that are premised on a negative short-run association of interest rate movements and the rate of inflation. In particular, econometric evidence is provided, supporting the view that tighter monetary policy appears to raise inflation rates in the short run. Conversely, it is demonstrated that easier monetary policy does not necessarily raise inflation rates in the short run. In the case of uncoordinated monetary restrictiveness, interest rate competition among major countries can produce higher inflation and lower growth than was originally intended.