When what you have is not enough—Acquiring Australian qualifications to overcome non-recognition of overseas skills

Skilled migration is an important strategy in developed economies seeking to address skills shortages and population ageing. Research on the labour market outcomes of skilled migrants tends to focus on employers' devaluation of skills without considering the role of immigration policy in the migration process. Moreover, there is little understanding of whether efforts to meet employer demands for local qualifications improve labour market outcomes. Drawing on a study on skilled migrants sponsored under the State-Specific and Regional Migration Scheme in the regional state of South Australia, we explore the shaping of skills and skills recognition in the migration journey, particularly migrants' strategy of reskilling in response to employer demands for local qualifications. Our logistic regressions on the association between the acquisition of Australian qualifications and labour market outcomes reveal only marginal returns to these efforts. We argue that Australia should consider developing a more coherent skilled migration process to better harness the human capital of skilled migrants.     

The geometry of Gaussian double Markovian distributions

Gaussian double Markovian models consist of covariance matrices constrained by a pair of graphs specifying zeros simultaneously in the matrix and its inverse. We study the semi-algebraic geometry of these models, in particular their dimension, smoothness, and connectedness as well as algebraic and combinatorial properties.     

Robust variable selection with application to quality of life research

A large database containing socioeconomic data from 60 communities in Austria and Germany has been built, stemming from 18,000 citizens’ responses to a survey, together with data from official statistical institutes about these communities. This paper describes a procedure for extracting a small set of explanatory variables to explain response variables such as the cognition of quality of life. For better interpretability, the set of explanatory variables needs to be very small and the dependencies among the selected variables need to be low. Due to possible inhomogeneities within the data set, it is further required that the solution is robust to outliers and deviating points. In order to achieve these goals, a robust model selection method, combined with a strategy to reduce the number of selected predictor variables to a necessary minimum, is developed. In addition, this context-sensitive method is applied to obtain responsible factors describing quality of life in communities.     

Variable selection for generalized linear mixed models by L 1-penalized estimation

Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates. The presented approach to the fitting of generalized linear mixed models includes an L ₁-penalty term that enforces variable selection and shrinkage simultaneously. A gradient ascent algorithm is proposed that allows to maximize the penalized log-likelihood yielding models with reduced complexity. In contrast to common procedures it can be used in high-dimensional settings where a large number of potentially influential explanatory variables is available. The method is investigated in simulation studies and illustrated by use of real data sets.     

Insurance demand and social comparison: An experimental analysis

This paper analyzes whether social comparison can explain the low take-up of disaster insurance usually reported in field studies. We argue that risks in the case of disasters are highly correlated between subjects whereas risks for which high insurance take-up can be observed (e.g. extended warranties or cell phone insurance) are typically idiosyncratic. We set up a simple model with social reference points and show that in the presence of inequality aversion social comparison makes insurance indeed less attractive if risks are correlated. In addition we conducted a simple experiment which confirms these theoretical results. The average willingness to pay for insurance is significantly higher for idiosyncratic than for correlated risks.     

Standardisierungspotentiale lebenszyklusbasierter Modelle des strategischen Kostenmanagements

Tremendous increases in indirect costs can be found in many industries. Consequently, life cycle cost analysis models are getting more important in strategic cost management. However, existing models differ significantly from each other as they have been developed mainly for specific applications. In order to enable a common use of those models, a standardization of these models is required. We examine the potentials of standardizing models for life cycle cost analysis. In a first step, requirements regarding a standard model are derived from literature. As a second step, existing approaches found in literature are compared to the afore derived demands and it is analyzed to what extent they match the standardization requirements. Based on this comparison, we identify and discuss avenues for further research.     

The Dynamics of Research Alliances: Examining the Effect of Alliance Experience and Partner Characteristics on the Speed of Alliance Entry in the Biotech Industry

Few studies have moved beyond the dyadic level of an ongoing alliance and examined factors contributing to the success of entering a series of alliances. In this paper we expect biotechnology firms over time to learn from their alliance experience and to develop general alliance capabilities. Specifically, we expect the speed with which they enter into new research alliances, e.g. their alliance formation rate, to be affected by capabilities built up in prior alliances as well as by characteristics of their partners. We use longitudinal event history data for the complete population of US biotechnology firms for 1973–1999 to test four hypotheses about factors affecting the rate of new alliance formation. Our analysis suggests that the speed of entering research alliances is affected by prior experience of the focal firm, but not by partner characteristics. Our findings provide evidence that biotech firms learn how to learn more effectively from multiple research alliances; however, this effect is generalized and not tied to specific characteristics of the alliance partner.     

Analysis of the importance of on-field covariates in the German Bundesliga

In modern football, various variables as, for example, the distance a team runs or its percentage of ball possession, are collected throughout a match. However, there is a lack of methods to make use of these on-field variables simultaneously and to connect them with the final result of the match. This paper considers data from the German Bundesliga season 2015/2016. The objective is to identify the on-field variables that are connected to the sportive success or failure of the single teams. An extended Bradley–Terry model for football matches is proposed that is able to take into account on-field covariates. Penalty terms are used to reduce the complexity of the model and to find clusters of teams with equal covariate effects. The model identifies the running distance to be the on-field covariate that is most strongly connected to the match outcome.     

The role of acculturative stress and cultural backgrounds in migrants with pathological gambling

The objective of the present study was to differentiate specific migration-related factors that can account for an increased vulnerability to pathological gambling (PG) among migrants in Germany. One hundred and six gamblers (61 migrants, 45 Germans) with varying degrees of gambling problems participated in the study. We analysed (1) differences between migrants and Germans regarding gambling patterns, severity of gambling problems, motivation and craving; influence of (2) acculturative stress; (3) acceptance and popularity of gambling in the culture of origin on gambling problems; (4) differences between migrants and Germans regarding family gambling and peer gambling; and (5) differences in religiosity and its influence on gambling problems. Results suggest no differences between migrants and Germans regarding gambling patterns and the severity of gambling problems. However, findings indicate that migrants have higher motivation and craving to gamble. Findings further suggest that acculturative stress is associated with more severe gambling problems. In contrast, acceptance and popularity of gambling in the country of origin was not a significant predictor of gambling problems. At the same time, family gambling and peer gambling was significantly more prevalent among migrants, constituting an additional risk factor in the present sample. On the other hand, migrants in the sample benefit more often from a protective influence of religiosity.     

Effekte von ?Life-Coaching�� f��r F��hrungskr?fte in einem Gesundheitszentrum

This study evaluates the effects of life-coaching for high-level managers in an approved regeneration-center in Tyrol/Austria. This type of life-coaching consists of four steps, namely to analyze the life-situation, to de-block in case of disorders, to transform realizations into new attitudes and finally to integrate optimized thinking- and behavioral pattern in the daily routine. The effects of life-coaching were evaluated with a sound multimethodical design and the use of a control group. Results show that there is full satisfaction with the effectiveness of the entire treatment, but also there are significant differences between the groups with and without coaching.