Testing the Vitamin Model of job stress in Dutch health care workers

Three central hypotheses of Warr's Vitamin Model concerning the relationship between job characteristics and well-being and health outcomes were tested: (1) differential effects of job characteristics on the various well-being and health outcomes; (2) predominance of curvilinear associations; and (3) moderate influence of negative and positive affectivity on these relationships. The study participants were 162 employees from a health care organization (aged 19–54 years, 95% women) who completed questionnaires on job demands and job autonomy, as well as on the outcome variables depression, anxiety, job satisfaction, and health complaints. In addition, data on short-term sickness absence were collected. A higher level of job demands was significantly associated with a lower level of well-being and self-reported health. Job autonomy showed weaker relationships with the outcome variables. The effects of job demands were still large after controlling for negative and positive affectivity, while the effects of job autonomy in most cases became non-significant. The predicted curvilinear relationship between job characteristics and outcome variables did not have an additional value over a linear model in predicting the data. It is concluded that the present data from a homogeneous sample of mostly female nurses support Warr's Vitamin Model to a limited extent.     

Who knows what? Reconfiguring the governance and the capabilities of the supply chain between physical and digital processes in the fashion industry

Abstract

On the basis of an exploratory multiple-case qualitative longitudinal study in the fashion industry, this article describes how digital technologies enabled choices among different types of supply chain governance. In doing so, this study responds to calls for governance-oriented longitudinal explorations and suggests an alternative path of governance choices in which the digital technologies become the platform that allows a dynamic discourse between outsourcer and outsourcee. Our results show that, when firms decide to leverage their performances through the adoption of information technology, they need to define their knowledge transfer capacities in order to adopt the appropriate type of governance model. With this article, we contribute to the global value chain literature adding to the knowledge transfer dimension.     

Transnationalism and American Exports in an English‐Speaking World1

Investigating the relationship between immigration, middleman minority status, transnationalism, and U.S. foreign trade, the authors assembled a census‐based data file that contains aggregate‐level variables for 88 foreign‐born groups by national origin between 1980 and 1990. They regressed immigrant characteristics and immigration volume upon time‐lagged import/export statistics from the same 88 nations between 1985 and 1995. Results show the independent influence on exports of immigrant entrepreneurship, transnationalism, and middleman minority status. But these variables, exhaustively derived from the existing literature, had no effect on U.S. imports; they only affected exports. The authors propose that the discrepancy between imports and exports arises because of the dominance of English as a world business language. In this situation, foreigners need no help from immigrants when they export to the United States; but native‐born, monolingual Americans need the help of bicultural immigrants when they export. The empirical results suggest that immigrant entrepreneurs enhance the United States' exports and thus reduce the United States' balance of payments deficit.     

Market‐Implied Spread for Earthquake CAT Bonds: Financial Implications of Engineering Decisions

In the event of natural and man‐made disasters, owners of large‐scale infrastructure facilities (assets) need contingency plans to effectively restore the operations within the acceptable timescales. Traditionally, the insurance sector provides the coverage against potential losses. However, there are many problems associated with this traditional approach to risk transfer including counterparty risk and litigation. Recently, a number of innovative risk mitigation methods, termed alternative risk transfer (ART) methods, have been introduced to address these problems. One of the most important ART methods is catastrophe (CAT) bonds. The objective of this article is to develop an integrative model that links engineering design parameters with financial indicators including spread and bond rating. The developed framework is based on a four‐step structural loss model and transformed survival model to determine expected excess returns. We illustrate the framework for a seismically designed bridge using two unique CAT bond contracts. The results show a nonlinear relationship between engineering design parameters and market‐implied spread.     

Large‐sample tests of extreme‐value dependence for multivariate copulas

Starting from the characterization of extreme‐value copulas based on max‐stability, large‐sample tests of extreme‐value dependence for multivariate copulas are studied. The two key ingredients of the proposed tests are the empirical copula of the data and a multiplier technique for obtaining approximate p‐values for the derived statistics. The asymptotic validity of the multiplier approach is established, and the finite‐sample performance of a large number of candidate test statistics is studied through extensive Monte Carlo experiments for data sets of dimension two to five. In the bivariate case, the rejection rates of the best versions of the tests are compared with those of the test of Ghoudi et al. (1998) recently revisited by Ben Ghorbal et al. (2009). The proposed procedures are illustrated on bivariate financial data and trivariate geological data. The Canadian Journal of Statistics 39: 703–720; 2011. © 2011 Statistical Society of Canada     

Survival of related individuals: An extension of some fundamental results of heterogeneity analysis

Many ideas in the analysis of heterogeneous mortality are based on the relationship between individual and observed hazard rates. This connection is established with the help of conditional averaging procedure: The observed risk of death at age x is calculated among those who survive this age. The analogy of this result for bivariate survival model with correlated individual hazards is derived. In the case of correlated frailty model the parametric specification of the mean, variance and correlation coefficient of the bivariate frailty distribution among survivors is obtained. The relationship between local association measure and the characteristics of the bivariate frailty distribution among survivors is established.