Temporary Skilled Migration to Australia: Employers' Perspectives1

With the 1996 introduction of a new visa making it easier for employers to sponsor skilled foreign workers, temporary skilled migration has become a significant component of international migration flows to Australia. This paper examines employers' reasons for sponsoring skilled workers from abroad, their modes of recruitment, the occupational skills they require, and their industry profile. We also discuss issues relating to the perception of a shortage of skilled workers, the extent that sponsoring foreign workers substitutes for investing in local training, and the role of networks in recruiting overseas workers. Many employers' now have a global view of labour recruitment. While this is understandable for multinational companies with global operations, many small businesses and public sector institutions are adopting the same strategy to obtain skilled labour which they say is in short supply in Australia. With the internationalization of the Australian economy, there is also an increasing demand for people with specialized skills and knowledge that is not available in Australia's relatively small labour market. An understanding of the demand factors motivating temporary skilled migration is crucial to effectively managing Australia's migration and labour trends.     

A Push Toward Equality: Processes Among Dual‐Career Newlywed Couples in Collectivist Culture

This study examines gender construction among dual‐career newlywed couples in a collectivist culture. A qualitative analysis of in‐depth interviews with 20 heterosexual Singaporean couples reveals aspects of the collectivist norms (e.g., doing family, we‐consciousness, marrying one's equal) that are favorable toward the development of gender equality. Additionally, as couples respond to the political and social pulls of economic development, they begin to organize their relationship around both careers. Incorporating egalitarian values becomes a pragmatic move carried out through five direct processes: (a) career as central to the relationship, (b) flexible allocation of household duties, (c) open dialogue regarding conflict, (d) equal say in decision making, and (e) internal self‐reflection. Implications for future research are addressed.     

Violence Exposure and Drug Use in Central American Youth: Family Cohesion and Parental Monitoring as Protective Factors

Associations between witnessing serious violence and drug use, and the protective influences of family cohesion and parental monitoring, were investigated among 9,840 adolescents (50.5% female, M age=15.29 years, SD=1.76) living in Panama and Costa Rica. After accounting for demographics and parental and sibling substance use, witnessing serious violence was associated with greater drunkenness, tobacco use, number of illicit drugs used, and problems with drugs and alcohol. In every analysis, exposure to violence was associated with more drug use, while family cohesion and parental monitoring attenuated risk. Further, family cohesion and parental monitoring exerted a protective‐stabilizing effect on number of illicit drugs used and on problems with drugs and alcohol. There were few interactions with age. Implications for prevention are discussed.     

Perceptions of work stress in Australian firefighters

This study surveyed 747 firefighters on their perceptions of work stress. The current emphasis in the fire brigades is on the management of traumatic or critical incident stress, but other work stressors may also be important. The firefighters rated their jobs as more stressful than other occupations, and psychological work stress as highest among a set of potential sources and types of stress. Although many factors were mentioned, the most frequently indicated stressors were associated with exposure to traumatic incidents such as major accidents or the suffering of others. Those who had previous experience with stress were more likely to rate current and future risk of stress as higher. Knowledge of existing organizational approaches to stress management was limited. The firefighters rated individual and informal sessions for dealing with stress as potentially more useful than the formal debriefing sessions now common in many emergency organizatins. Those who had previous experience with stress, however, were more likely to favour a formal organizational approach.     

Modelling spatially correlated data via mixtures: a Bayesian approach

Summary. The paper develops mixture models for spatially indexed data. We confine attention to the case of finite, typically irregular, patterns of points or regions with prescribed spatial relationships, and to problems where it is only the weights in the mixture that vary from one location to another. Our specific focus is on Poisson-distributed data, and applications in disease mapping. We work in a Bayesian framework, with the Poisson parameters drawn from gamma priors, and an unknown number of components. We propose two alternative models for spatially dependent weights, based on transformations of autoregressive Gaussian processes: in one (the logistic normal model), the mixture component labels are exchangeable; in the other (the grouped continuous model), they are ordered. Reversible jump Markov chain Monte Carlo algorithms for posterior inference are developed. Finally, the performances of both of these formulations are examined on synthetic data and real data on mortality from a rare disease.     

Expert Judgment-Based Risk Assessment Using Statistical Scenario Analysis: A Case Study—Running the Bulls in Pamplona (Spain)

In this article, we present a methodology to assess the risk incurred by a participant in an activity involving danger of injury. The lack of high-quality historical data for the case considered prevented us from constructing a sufficiently detailed statistical model. It was therefore decided to generate a risk assessment model based on expert judgment. The methodology is illustrated in a real case context: the assessment of risk to participants in a San Fermin bull-run in Pamplona (Spain). The members of the panel of "experts on the bull-run" represented very different perspectives on the phenomenon: runners, surgeons and other health care personnel, journalists, civil defense workers, security staff, organizers, herdsmen, authors of books on the bull-run, etc. We consulted 55 experts. Our methodology includes the design of a survey instrument to elicit the experts' views and the statistical and mathematical procedures used to aggregate their subjective opinions.     

A New Look at the Psychometric Paradigm of Perception of Hazards

The psychometric paradigm has been the most influential model in the field of risk analysis. The "cognitive maps" of hazards produced by the paradigm seem to explain how laypeople perceive the various risks they face. Because most of the studies used aggregated data, analyzed using principal component analysis, it is not known whether the model neglects individual differences in risk perception. There has been much criticism on the fact that few studies have examined individual differences in the cognitive representation of hazards. In order to detect and describe the internal structure of the three-way data, we conducted a three-way component analysis (3MPCA). Data for the present analysis were derived from a mail survey conducted in Switzerland. Participants were asked to judge 9 attributes for 26 hazards. Individual differences in the cognitive representation of hazards were correlated with external variables (e.g., general trust). The results suggest that methods permitting individual differences should be used more frequently and that utilizing different methods could provide greater insight into the cognitive representation of risks.     

Rurality Index for Small Areas in Spain

An operational definition for “rural area” is pivotal if proposals, policies and decisions aimed at optimising the distribution of resources, closing the gap on inequity between areas and raising standards of living for the least advantaged populations are to be put in place. The concept of rurality, however, is often based on alternative and conflicting definitions, requiring clarification of the underlying theoretical model. Traditionally a geographical area has been classified as rural by taking into account either the number of inhabitants or population density. Two kinds of problem are raised with this approach, however, namely: it is inherently difficult to describe such a complex concept as rurality with a single variable; and reducing the concept down to a rural/urban dichotomy by setting a non-universal cut-off point does not usually provide an accurate account of reality. Within the context of the rural–urban continuum, this paper has devised a rurality index for Spanish municipalities based on the 1991 Population, Housing and Household Survey. The index was built on a principal components factor analysis, giving rise to a single factor that is correlated to the aging of the population, economic dependency, farming, livestock or fishing-related employment, habitability of housing and population density. A score to each municipality was allocated. This index can be regularly updated thus enabling the progress of the concept of rurality to be monitored in our setting over time and then compared with other countries using the same methods.     

Multinomial Selection Problem: A Study of BEM and AVC Algorithms

The two well-known and widely used multinomial selection procedures Bechhofor, Elmaghraby, and Morse (BEM) and all vector comparison (AVC) are critically compared in applications related to simulation optimization problems.

Two configurations of population probability distributions in which the best system has the greatest probability p _i of yielding the largest value of the performance measure and has or does not have the largest expected performance measure were studied.

The numbers achieved by our simulations clearly show that none of the studied procedures outperform the other in all situations. The user must take into consideration the complexity of the simulations and the performance measure probability distribution properties when deciding which procedure to employ.

An important discovery was that the AVC does not work in populations in which the best system has the greatest probability p _i of yielding the largest value of the performance measure but does not have the largest expected performance measure.